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1. GENERAL The term "diagnostics" refers to the general theory of diagnosis, not to the study of specific diagnoses but to their general framework. It borrows from different sciences and from different philosophies. Traditionally, the general framework of diagnostics was not distinguished from the framework of medicine. It was not taught in special courses in any systematic way; it was not accorded special attention: students absorbed it intuitively. There is almost no comprehensive study of diagnostics. The instruction in diagnosis provided in medical schools is exclusively specific. Clinical instruction includes (in addition to vital background information, such as anatomy and physiology) specific instruction in nosology, the theory and classification of diseases, and this includes information on diagnoses and prognoses of diverse diseases. What is the cause of the neglect of diagnostics, and of its integrated teaching? The main cause may be the prevalence of the view of diagnostics as part-and parcel of nosology. In this book nosology is taken as a given, autonomous field of study, which invites almost no comments; we shall freely borrow from it a few important general theses and a few examples. We attempt to integrate here three studies: ll of the way nosology is used in the diagnostic process; of the diagnostic process as a branch of applied ethics; ~ of the diagnostic process as a branch of social science and social technology.

Computer-Assisted Diagnosis: Diabetes and Cardiovascular Disease brings together multifaceted information on research and clinical applications from an academic, clinical, bioengineering and bioinformatics perspective. The editors provide a stellar, diverse list of authors to explore this interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and heart disease need an authoritative reference to reduce the amount of time spent on source-searching so they can spend more time on actual research and clinical application. This reference accomplishes this with contributions by authors from around the world. Provides valuable information for academic clinicians, researchers, bioengineers and industry on diabetes and cardiovascular disease Discusses the impact of diabetes on cardiovascular disease Covers statistical classification techniques and risk stratification

A computer based dental program has been developed by the Gre at Lakes Dental Research Institute, Great Lakes, Illinois, and the Naval Submarine Medical Research Laboratory, NAVSUBASE NLON, Groton, CT. It is a rule-based diagnostic system for use with trauma and non-trauma related dental emergencies and for the differential diagnosis of soft tissue lesions. The purpose of this report is to provide documentation for the program. Included in the documentation is a copy of the dental questionnaires, a list of the symptoms and diagnoses considered by the program, identification of responses used in branching to subsequent questions, identification of responses used by the diagnostic rules, and the rules to arrive at a diagnosis. (fr).

CAR is a symposium and exhibition covering the impact of computer and communication systems applied to radiology and other medical disciplines, which use digital imaging for diagnosis and therapy planning. CAR '93 also provides tutorials, but more emphasis is given to a broad variety of specific problems related to medical/technical issues in digital imaging. This is achieved through in-depth presentations of results of current medical imaging projects on a worldwide basis.

A major focus of the philosophy of medicine and, in general, of the philosophy of science has been the interplay of facts and values. Nowhere is an evaluation of this interplay more important than in the ethics of diagnosis. Traditionally, diagnosis has been understood as an epistemological activity which is concerned with facts and excludes the intrusion of values. The essays in this volume challenge this assumption. Questions of knowledge in diagnosis are intimately related to the concerns with intervention that characterize the applied science of medicine. Broad social and individual goals, as well as diverse ethical frameworks, are shown to condition both the processes and results of diagnosis. This has significant implications for bioethics, implications that have not previously been developed. With this volume, `the ethics of diagnosis' is established as an important branch of bioethics.

"This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images"--Provided by publisher.

Improve the Accurate Detection and Diagnosis of Cancer and Other Diseases Despite the expansion of the CAD field in recent decades, there is currently no single book dedicated to the development and use of CAD systems. Filling this need, Computer-Aided Detection and Diagnosis in Medical Imaging covers the major technical advances and methodologies shaping the development and clinical utility of CAD systems in breast imaging, chest imaging, abdominal imaging, and other emerging applications. After a historical overview of CAD, the book is divided into four sections. The first section presents CAD technologies in breast imaging, which is the most advanced area of CAD application. The second section discusses CAD technologies in chest and abdominal imaging. The third section explores emerging CAD technologies in a wide range of imaging modalities designed to address a variety of diseases. The final section describes the current use of CAD systems in clinical practice as well as how CAD will play an important role in quantitative image biomarkers and imaging genomics research. This book brings together existing and emerging CAD approaches at a level understandable to students, CAD system developers, basic scientists, and physician scientists. Newcomers to CAD research will learn about fundamental aspects in the process of CAD system development. Developers of CAD systems will gain insight on designing new or improved CAD systems. Experienced researchers will get up-to-date information on the latest CAD technologies.

Independent duty hospital corpsmen assigned to submarines are normally the sole provider of medical care for the crew. Corpsmen with varying levels of experience and training must make diagnoses with limited diagnostic tools and without expert consultation. A medical evacuation (MEDEVAC) can potentially expose a submarine's position, is hazardous to both the patient and the rescuers, especially in high sea states, and is expensive because it entails the movement of large numbers of ships, aircraft and men. For these reasons, the Naval Submarine Medical Research Laboratory (NSMRL) was tasked in the 1970's with developing computerized diagnostic aids for these corpsmen with the goals of reducing the number of unnecessary medical evacuations and improving the quality of health care at sea. This report details the history and development of the computer assisted medical diagnostic aids at this laboratory and would be of benefit to individuals or Commands interested in continuing this type of work. Several of these programs have been approved for distribution by the Commanding Officer, NSMRL, and may be obtained by request. Computer-assisted diagnosis, Expert systems, Artificial intelligence, Diagnostic systems, Medical diagnosis.

Amblyopia (lazy eye) affects about 2-5% of general population. It is a leading cause of single-eye blindness in adults. Video-based photoscreenirig, pioneered by Dr. Gerhard W. Cibis, is a technique effective for screening very young children for amblyopia-causing factors, which is essential to the prevention. This dissertation presents the first ever work to automate this screening technique. The main challenge in algorithm development in this study arises from many dynamic factors that can not be controlled, including the patient's direction of sight, focusing, and physical motion. These factors make the observed imagery highly variable even for the same patient. This dissertation provides detailed descriptions of the various algorithms that combine to reach screening decisions from the video data. The algorithms are divided into two main groups, image processing and computer-assisted diagnosis. Combining new image features and sequence processing, we have developed robust algorithms for locating irises, pupils, and Hirschberg points, which are useful for diagnosing misalignment between eyes. The new technical contributions include the use of sclera in iris boundary location and the use of possibilistic shell clustering with additional constraints to simultaneously locating a pair of pupils. We also investigated computer-assisted diagnosis of various amblyogenic vision disorders, including high refractive errors (hyperopia and myopia), refractive error difference between the two eyes (anisometropia), astigmatism, and misalignment between the two eyes, (strabismus). Diagnoses of these factors are then combined to yield the final screening decision. We evaluate the performance of our algorithm by comparing our screening decisions to those given by Dr. Cibis (the ground truth) over the same data set, which include video data of 182 different children. Our results indicate that the screening decisions made by the algorithms are 89% correct when compared with those made by Dr. Cibis. Further investigation points to several areas for future improvement, including better analysis of cases with misalignment and myopia.

Prostatic adenocarcinoma (CAP) is the second most common malignancy with an estimated 190,000 new cases in the USA in 2010 (Source: American Cancer Society), and is the most frequently diagnosed cancer among men. If CAP is caught early, men have a high, five-year survival rate. Unfortunately there is no standardized ima- based screening protocol for early detection of CAP (unlike for breast cancers). In the USA high levels of prostate-specific antigen (PSA) warrant a trans-rectal ultrasound (TRUS) biopsy to enable histologic confirmation of presence or absence of CAP. With recent rapid developments in multi-parametric radiological imaging te- niques (spectroscopy, dynamic contrast enhanced MR imaging, PET, RF ultrasound), some of these functional and metabolic imaging modalities are allowing for definition of high resolution, multi-modal signatures for prostate cancer in vivo. Distinct com- tational and technological challenges for multi-modal data registration and classifi- tion still remain in leveraging this multi-parametric data for directing therapy and optimizing biopsy. Additionally, with the recent advent of whole slide digital sc- ners, digitized histopathology has become amenable to computerized image analysis. While it is known that outcome of prostate cancer (prognosis) is highly correlated with Gleason grade, pathologists often have difficulty in distinguishing between interme- ate Gleason grades from histopathology. Development of computerized image analysis methods for automated Gleason grading and predicting outcome on histopathology have to confront the significant computational challenges associated with working these very large digitized images.

Computer technology has impacted the practice of medicine in dramatic ways. Imaging techniques provide noninvasive tools which alter the diag nostic process. Sophisticated monitoring equipment presents new levels of detail for both patient management and research. In most of these high technology applications, the computer is embedded in the device; its presence is transparent to the user. There is also a growing number of applications in which the health care provider directly interacts with a computer. In many cases, these appli cations are limited to administrative functions, e.g., office practice man agement, location of hospital patients, appointments, and scheduling. Nevertheless, there also are instances of patient care functions such as results reporting, decision support, surveillance, and reminders. This series, Computers and Medicine, will focus upon the direct use of information systems as it relates to the medical community. After twenty-five years of experimentation and experience, there are many tested applications which can be implemented economically using the current generation of computers. Moreover, the falling cost of computers suggests that there will be even more extensive use in the near future. Yet there is a gap between current practice and the state-of-the-art.

This book constitutes the refereed proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'98, held in Cambridge, MA, USA, in October 1998. The 134 revised papers presented were carefully selected from a total of 243 submissions. The book is divided into topical sections on surgical planning, surgical navigation and measurements, cardiac image analysis, medical robotic systems, surgical systems and simulators, segmentation, computational neuroanatomy, biomechanics, detection in medical images, data acquisition and processing, neurosurgery and neuroscience, shape analysis, feature extraction, registration, and ultrasound.

The two-volume set LNCS 5761 and LNCS 5762 constitute the refereed proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, held in London, UK, in September 2009. Based on rigorous peer reviews, the program committee carefully selected 259 revised papers from 804 submissions for presentation in two volumes. The first volume includes 125 papers divided in topical sections on cardiovascular image guided intervention and robotics; surgical navigation and tissue interaction; intra-operative imaging and endoscopic navigation; motion modeling and image formation; image registration; modeling and segmentation; image segmentation and classification; segmentation and atlas based techniques; neuroimage analysis; surgical navigation and robotics; image registration; and neuroimage analysis: structure and function.

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods. Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.

New imaging technology and more sophisticated image processing systems will have a profound effect on those areas of medicine which are concerned with imaging for diagnosis and therapy planning. Digitally formated data will form the basis of an increasing number of medical imaging modalities. Before the diagnostic imaging department of the future will largely be digital, many problems have still to be solved as regards image quality, costs, and ease of use. The computer and other information science derived methods will contribute towards solving many of the problems in these areas. It is widely expected that there will be an information science derived evolution in imaging for radiology and related departments. Computer assistance may be applied to image generation, e.g. CT, MRI, DR and DSR, storing and transferring of images, and viewing, analysing and interpreting of images. The application of computers to these activities (which characterise radiological departments), may be defined as Computer Assisted Radiology (CAR) . In the main, CAR will promote the transition from analog imaging systems to digital systems, integration of digital imaging modalities through Picture Archiving and Communication Systems (PACS') and the graduated employment of Medica~ Work Stations (MWS) for diagnosis and therapy planning. It will transfer geographically, organisationally and/or mentally isolate imaging activities towards fully integrated multi-imaging modality diagnostic departments. This development will have a considerable impact on patient management, on the medical profession and on the health care system.

This book constitutes the refereed joint proceedings of the 6th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017, and the Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 6 full papers presented at CVII-STENT 2017 and the 11 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.

Intended for nurses who would like to know more about the development of the computerized information systems on which they have become so dependent, Nursing and Computers: An Anthology is a wide-range introduction to the literature of this field. The editors have selected historical and contemporary papers to show both the systems at their inception and examples of how they have evolved. Of interest to both the generalist and the specialist, these articles examine the partnership between nurses and computers in the areas of administration, practice, research, and education.

This book constitutes the refereed proceedings of the First International Workshop on Computer Assisted and Robotic Endoscopy, CARE 2014, held in conjunction with MICCAI 2014, in Boston, MA, USA, in September 2014. The 12 papers presented focus on recent technical advances associated with computer vision; graphics; robotics and medical imaging; external tracking systems; medical device control systems; information processing techniques; endoscopy; planning and simulation.