Medical diagnosis

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Medical diagnosis refers to the process of attempting to determine and/or identify a possible disease or disorder and the opinion reached by this process. (Wikipedia.org)






Conferences related to Medical diagnosis

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2018 14th International Workshop on Discrete Event Systems (WODES)

The interdisciplinary field of Discrete Event Systems (DES) combines different formalisms, methodologies and tools from control, computer science and operations research. The research activity in this field is driven by the needs of many different applications domains: manufacturing, process control, supervisory systems, software engineering, transportation, and so on. Discrete Event Systems is now a mature field and many interesting applications have been developed. This 14th International Workshop on Discrete Event Systems will be hosted at Hotel Stabiae Sorrento Coast, Sorrento Coast, Italy. It aims to provide researchers from different fields (control theoreticians and control engineers, software engineers and computer scientists, operations research specialists) with an opportunity to exchange information and new ideas, and to discuss new developments in the field of DES theory and applications.


2018 15th International Workshop on Advanced Motion Control (AMC)

1. Advanced Motion Control2. Haptics, Robotics and Human-Machine Systems3. Micro/Nano Motion Control Systems4. Intelligent Motion Control Systems5. Nonlinear, Adaptive and Robust Control Systems6. Motion Systems for Robot Intelligence and Humanoid Robotics7. CPG based Feedback Control, Morphological Control8. Actuators and Sensors in Motion System9. Motion Control of Aerial/Ground/Underwater Robots10. Advanced Dynamics and Motion Control11. Motion Control for Assistive and Rehabilitative Robots and Systems12. Intelligent and Advanced Traffic Controls13. Computer Vision in Motion Control14. Network and Communication Technologies in Motion Control15. Motion Control of Soft Robots16. Automation Technologies in Primary Industries17. Other Topics and Applications Involving Motion Dynamics and Control


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 4th International Conference on Recent Advances in Information Technology (RAIT)

4th International Conference (RAIT-201) has been conceived with multi-disciplinary areas inIT, Computers, Electronics together with application areas of Mineral, Service, Telecom sectorsthat are strategically important for the overall economic growth of our country.

  • 2016 3rd International Conference on Recent Advances in Information Technology (RAIT)

    3rd International Conference (RAIT-2016) has been conceived with multi-disciplinary areas in IT, Computers, Electronics together with application areas of Mineral, Service, Telecom sectors that are strategically important for the overall economic growth of our country.

  • 2012 1st International Conference on Recent Advances in Information Technology (RAIT)

    Over the past few decades, we are witnessing remarkable advances and explosive growth of new technologies that are changing the world very fast. Information Technology (IT) sector is indeed playing a significant role in facing the technological challenges of the 21st century. The impact of IT on every sphere of human activities is stupendous these days. This field has been playing vital role in our economical, social and rural growth. The change in Information Technology is racing by the hour.


2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)

The RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob 2018 - is a joint effort of the two IEEE Societies of Robotics and Automation - RAS - and Engineering in Medicine and Biology - EMBS.BioRob covers both theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. The primary focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation.


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Periodicals related to Medical diagnosis

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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Most published Xplore authors for Medical diagnosis

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Xplore Articles related to Medical diagnosis

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A new approach to medical diagnosis

C. N. Schizas; C. S. Pattichis; L. T. Middleton Proceedings of the 1992 International Biomedical Engineering Days, 1992

The diagnostic usefulness of artificial neural networks (ANNs) is explored by means of an integrated system for medical diagnosis. The models were developed by using the unsupervized self organizing feature maps algorithm. Clinical and laboratory data for training and testing the ANNs was collected from 71 subjects by applying examination protocols that were developed by experts in the appropriate fields. ...


Hardware realization of a medical diagnostic system based on Probabilistic CMOS (PCMOS) technology

Zhi-Hui Kong; Jun-Jie Tan; Bilge E. S. Akgul; Kiat-Seng Yeo; K. V. Palem; Wang-Ling Goh 2008 IEEE International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 2008

The continuous miniaturization of CMOS feature sizes into the nanometer regime has increasingly caused problems due to noise vulnerability, process variations, and energy consumption. Noise vulnerability and process variations have been recognized to cause statistical or probabilistic device behaviors. In this paper, by capitalizing on what most people termed as nuisance, we demonstrate how noise can be put to good ...


Combination of radiologists' diagnosis by a fuzzy number approach

X. Zhang; L. Duckstein [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems, 1993

The authors present a fuzzy set approach to combine experts' imprecise opinions. The case study deals with medical radiologists' diagnoses expressed as fuzzy numbers that reflect the confidence and uncertainty of their decision. Specifically, the independent, fuzzy diagnoses of four radiologists are combined by a fuzzy number approach, called a mixed linear extension. The combined result is a fuzzy number. ...


Linear partial derivative matrix for iterative algorithm to reconstruct refractive index from refraction angle data

Zhentian Wang; Li Zhang; Zhifeng Huang; Zhiqiang Chen; Kejun Kang 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC), 2009

X-ray phase contrast imaging (PCI) has great potential in the medical diagnosis, material science et al and has made great progress in the last ten years. Diffraction enhanced imaging and grating-based imaging are the two significant methods for PCI, currently. Two methods are named differential phase contrast imaging because the projection data is partial derivatives of refractive index. Analytical algorithms ...


An Improved Decision Tree Method Base on RELIEFF for Medical Diagnosis

Quanjun Liu; Xiaowei Xu; Ye Tao; Xiaodong Wang 2016 6th International Conference on Digital Home (ICDH), 2016

There emerges an increasing need to mine and analyze the health data from smart home medical systems and community medical organizations. Regarding to the influence of irrelevant attributes, in this study, an improved C4.5 decision tree method based on RELIEFF attribute weighting techniques is proposed for medical diagnosis. This method includes two steps: the first step is to delete the ...


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Educational Resources on Medical diagnosis

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eLearning

A new approach to medical diagnosis

C. N. Schizas; C. S. Pattichis; L. T. Middleton Proceedings of the 1992 International Biomedical Engineering Days, 1992

The diagnostic usefulness of artificial neural networks (ANNs) is explored by means of an integrated system for medical diagnosis. The models were developed by using the unsupervized self organizing feature maps algorithm. Clinical and laboratory data for training and testing the ANNs was collected from 71 subjects by applying examination protocols that were developed by experts in the appropriate fields. ...


Hardware realization of a medical diagnostic system based on Probabilistic CMOS (PCMOS) technology

Zhi-Hui Kong; Jun-Jie Tan; Bilge E. S. Akgul; Kiat-Seng Yeo; K. V. Palem; Wang-Ling Goh 2008 IEEE International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 2008

The continuous miniaturization of CMOS feature sizes into the nanometer regime has increasingly caused problems due to noise vulnerability, process variations, and energy consumption. Noise vulnerability and process variations have been recognized to cause statistical or probabilistic device behaviors. In this paper, by capitalizing on what most people termed as nuisance, we demonstrate how noise can be put to good ...


Combination of radiologists' diagnosis by a fuzzy number approach

X. Zhang; L. Duckstein [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems, 1993

The authors present a fuzzy set approach to combine experts' imprecise opinions. The case study deals with medical radiologists' diagnoses expressed as fuzzy numbers that reflect the confidence and uncertainty of their decision. Specifically, the independent, fuzzy diagnoses of four radiologists are combined by a fuzzy number approach, called a mixed linear extension. The combined result is a fuzzy number. ...


Linear partial derivative matrix for iterative algorithm to reconstruct refractive index from refraction angle data

Zhentian Wang; Li Zhang; Zhifeng Huang; Zhiqiang Chen; Kejun Kang 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC), 2009

X-ray phase contrast imaging (PCI) has great potential in the medical diagnosis, material science et al and has made great progress in the last ten years. Diffraction enhanced imaging and grating-based imaging are the two significant methods for PCI, currently. Two methods are named differential phase contrast imaging because the projection data is partial derivatives of refractive index. Analytical algorithms ...


An Improved Decision Tree Method Base on RELIEFF for Medical Diagnosis

Quanjun Liu; Xiaowei Xu; Ye Tao; Xiaodong Wang 2016 6th International Conference on Digital Home (ICDH), 2016

There emerges an increasing need to mine and analyze the health data from smart home medical systems and community medical organizations. Regarding to the influence of irrelevant attributes, in this study, an improved C4.5 decision tree method based on RELIEFF attribute weighting techniques is proposed for medical diagnosis. This method includes two steps: the first step is to delete the ...


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IEEE-USA E-Books

  • Robotics: A Discussion

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • Today and Tomorrow

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • TODAY AND TOMORROW: A DISCUSSION

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • How to Learn More

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • CADUCEUS: An Experimental Expert System for Medical Diagnosis

    This chapter contains sections titled: Critical Partnership, Deciding What to Decide, A Paradox, INTERNIST I, A Very Sick Woman, Iterating toward Answers, For More Information

  • Work and Play

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • Robotics

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • Bibliography

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • The Animat and the Physician

    Animat research has already produced interesting concepts and algorithms. In this paper, we analyze how this research can be applied to human intelligence understanding and to reproducing of some expert behaviors. To support these ideas, we experiment with an improvement of Boole, a Genetic Based Learning algorithm from animat research, in a medical domain of expertise. We experimentally demonstrate that our system obtains good results on a well known realistic medical diagnosis task, and we analyze its potential ability to solve more complicated problems.

  • Elastic Shape Analysis of Three-Dimensional Objects

    <p>Statistical analysis of shapes of 3D objects is an important problem with a wide range of applications. This analysis is difficult for many reasons, including the fact that objects differ in both geometry and topology. In this manuscript, we narrow the problem by focusing on objects with fixed topology, say objects that are diffeomorphic to unit spheres, and develop tools for analyzing their geometries. The main challenges in this problem are to register points across objects and to perform analysis while being invariant to certain shape-preserving transformations.</p> <p>We develop a comprehensive framework for analyzing shapes of spherical objects, i.e., objects that are embeddings of a unit sphere in ℝ, including tools for: quantifying shape differences, optimally deforming shapes into each other, summarizing shape samples, extracting principal modes of shape variability, and modeling shape variability associated with populations. An important str ngth of this framework is that it is elastic: it performs alignment, registration, and comparison in a single unified framework, while being invariant to shape- preserving transformations.</p> <p>The approach is essentially Riemannian in the following sense. We specify natural mathematical representations of surfaces of interest, and impose Riemannian metrics that are invariant to the actions of the shape-preserving transformations. In particular, they are invariant to reparameterizations of surfaces. While these metrics are too complicated to allow broad usage in practical applications, we introduce a novel representation, termed square-root normal fields (SRNFs), that transform a particular invariant elastic metric into the standard L² metric. As a result, one can use standard techniques from functional data analysis for registering, comparing, and summarizing shapes. Specifically, this results in: pairwise registration of surfaces; computation of geodesic paths encoding optimal deformations; computation of Karcher means and covariances under the shape metric; tangent Principal Component Analysis (PCA) and extraction of dominant modes of variability; and finally, modeling of shape variability using wrapped normal densities.</p> <p>These ideas are demonstrated using two case studies: the analysis of surfaces denoting human bodies in terms of shape and pose variability; and the clustering and classification of the shapes of subcortical brain structures for use in medical diagnosis.</p> <p>This book develops these ideas without assuming advanced knowledge in differential geometry and statistics. We summarize some basic tools from differential geometry in the appendices, and introduce additional concepts and terminology as needed in the individual chapters.</p>



Standards related to Medical diagnosis

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IEEE Standard for Testability and Diagnosability Characteristics and Metrics

This standard defines technology independent testability and diagnosability characteristics and metrics, particularly those based on relevant standard information models including standard AI-ESTATE (IEEE 1232.1 and P1232.3) information models.


Standard for Software Interface for Maintenance Information Collection and Analysis

The scope of the Standard Software Interface for Maintenance Information Collection and Analysis (SIMICA) is an implementation independent specification for a software interface to information systems containing data pertinent to the diagnosis and maintenance of complex systems consisting of hardware, software, or any combination thereof. These interfaces will support service definitions for creating application programming interfaces (API) for the access, ...



Jobs related to Medical diagnosis

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