Results 231 to 240 of about 302,330 (265)
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Computer-Assisted Diagnosis of Strabismus
Journal of Pediatric Ophthalmology & Strabismus, 1987ABSTRACT A program for use on a microcomputer was developed to assist in the diagnosis of strabismus. The matrix consists of 41 separate disorders and 59 facts (history and examination findings). The facts are answered in a yes/no format. The relationship between the fact and the disorder is weighted as to whether the fact is always present ...
K, Albicka +3 more
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COMPUTER-ASSISTED ECHOCARDIOGRAPHIC DIAGNOSIS
IFAC Proceedings Volumes, 2002Abstract In this paper we present a method to quantify the cardiac blood irrigation through echographic images for heart disease diagnosis. This method relies on the registration of acquired images with a heart model in order to provide a robust segmentation of the cardiac walls, giving the doctor precise and non subjective anatomical information, as
Enric X. Martin +3 more
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Computer-assisted diagnosis of acute azotemia
Computers and Biomedical Research, 1986We designed a computer program to make diagnostic suggestions in cases of acute azotemia. The performance of the program was tested in a retrospective manner on 63 patients with acute azotemia. The program correctly identified 90 of 94 diagnoses and made 20 false positive diagnostic suggestions.
S, Fugleberg +2 more
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Computer-assisted melanoma diagnosis
Melanoma Research, 2015In dermatology, attempts at synergy between man and machine have mainly been made to improve melanoma diagnosis. The aim of the present study was to test an 'integrated digital dermoscopy analysis' (i-DDA) system with a series of melanocytic lesions that were benign and malignant in nature, and to evaluate its discriminating power with respect to ...
RUBEGNI, PIETRO +8 more
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1988
If the basic assumption is that every computer assisted diagnosis system takes signs and symptoms as a basis for reaching tentative diagnoses, the next consideration is how many different diagnoses there are in total. It immediately becomes apparent that first a definition of what is understood by diagnoses must be established.
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If the basic assumption is that every computer assisted diagnosis system takes signs and symptoms as a basis for reaching tentative diagnoses, the next consideration is how many different diagnoses there are in total. It immediately becomes apparent that first a definition of what is understood by diagnoses must be established.
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Computer assisted medical diagnosis using the Web
International Journal of Medical Informatics, 1997The ADM (Aide au diagnostic Medical) project was started 15 years ago and was the first telematic project for physicians in France using the MINITEL terminal. The knowledge base contains information on more than 10000 diseases from all pathological fields, using more than 100000 signs or symptoms.
L P, Seka +7 more
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COMPUTER-ASSISTED INTERPRETATION IN RADIOGRAPHIC DIAGNOSIS
Dental Clinics of North America, 1993The application of computer-aided procedures to analyze digital radiographs will help to increase the quality of radiographic diagnosis. Image processing is applied to improve image quality and to extract features from digital radiographs. Computer programs can be used to integrate image data and patient data originating from different sources. The aim
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Computer-assisted diagnosis system in digestive endoscopy
IEEE Transactions on Information Technology in Biomedicine, 2003The purpose of this paper is to present an intelligent atlas of indexed endoscopic lesions that could be used in computer-assisted diagnosis as reference data. The development of such a system requires a mix of medical and engineering skills for analyzing and reproducing the cognitive processes that underlie the medical decision-making process.
Cauvin, Jean Michel +5 more
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Computer-assisted Diagnosis of Pediatric Rheumatic Diseases
Pediatrics, 1998Objective. AI/RHEUM is a multimedia expert system developed originally to assist in the diagnosis of rheumatic diseases in adults. In the present study we evaluated the usefulness of a modified version of this diagnostic decision support system in diagnosing childhood rheumatic diseases.
B H, Athreya, M L, Cheh, L C, Kingsland
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