Fast computer graphics for use in electrophysiology.
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Computer programs to assist with medical decision making have long been anticipated by physicians with both curiosity and concern. This article summarizes the current status of computer-based medical decision support, the goals of system developers, the reasons for slow progress since the field began almost 30 years ago, and the logistical and scientific challenges that lie ahead. It emphasizes in particular that decision-support programs are intended to serve as tools for trained practitioners who retain ultimate responsibility for determining diagnostic and therapeutic strategies.
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Many laboratories have centralized critical care services to conserve resources, but centralization has often been at the expense of providing optimized patient care. We have created a remotely controlled clinical laboratory that provides whole blood analysis of blood gases (PCO2, PO2), pH, electrolytes (Na+, K+, Cl-), glucose, and hemoglobin near the patient's beside, while maintaining the distinct advantage of central laboratory control. The automated remote laboratory provides extremely rapid turnaround times, eliminates the cost of labor for specimen processing, reduces the risk from contaminated specimens, reduces staff training, and results in improved patient care.
Digital audiovisual media and computer-based documents will be the dominant forms of professional communication in both clinical medicine and the biomedical sciences. The design of highly interactive multimedia systems will shortly become a major activity for biocommunications professionals. The problems of human-computer interface design are intimately linked with graphic design for multimedia presentations and on-line document systems. This article outlines the history of graphic interface design and the theories that have influenced the development of today's major graphic user interfaces.
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PURPOSE: This study was undertaken to teach laser retinal photocoagulation in different disorders using a "virtual eye". Most ophthalmologists routinely use laser photocoagulator. Both indications and laser effects are well-known. However, in various diseases (diabetic retinopathy, age-related-macular degeneration, myopia...) complications rate increase or at least does not decrease. The main reasons are: - ignorance of risk factors, - misuse of the instrument. METHODS: We developed a new automated device stimulating a real laser photocoagulator. Only slit-lamp exists. The three-mirror lens, the fundus and the retinal photocoagulation impacts are "virtual". CONCLUSION: The aim of the simulator is to help practitioners to recognize various pathologies almost as in real conditions and to be familiar with different technics of photocoagulation. By using computer assisted learning, a constant evaluation determines the level and the progress of practitioners.
Commercial and private use of the Internet has grown exponentially over the last few years. Its estimated size increases by more than 10% per month. Medical information and resources are now available to aid physicians in practice and in research. Users can utilize email to communicate with other medical professionals around the world. The newest and possibly most significant development on the Internet is the World Wide Web. Through it, physicians may access multimedia resources such as databases of medical information, recent news and research, atlases, and electronic journals using an intuitive graphics interface. Medically related software can be obtained from the vast archives on the Internet via the FTP function. As the Internet expands and becomes more ubiquitious, its uses will multiply and become an important mode of medical information dissemination and acquisition.
Stroke is unique among neurological diseases since it has a high incidence rate, severe burden of illness, high economic cost, and it may be preventable [1]. Described here is a system for screening the cerebral and vascular status of individuals to detect the initial stages of vascular disorders. The computer based polygraphic system (CERBERUS) questions subjects about risk factors, stresses, neurologic symptoms and monitors impedance pulse waves of the head and extremities, EEG, and ECG. The system has been tested in 691 cases. Doppler control studies were carried out on approximately 300 of these cases. Additional somatic measures and psychological tests related to stroke risk factors were carried out for wide biological basis of possible correlation of CERBERUS data base. The high incidence of cerebrovascular disturbance was established by CERBERUS data, further confirmed by additional data gathered, and moreover was compared by traditional medical records. The polygraphic system is more sensitive at detecting physiological asymmetries of blood flow than even a Doppler measurements. This suggests that it may be a significantly improved means for the differential diagnosis of neurological disease and the screening of subjects for arteriosclerosis, transient ischemic attack and stroke prevention to be offered at the lowest level of medical service.
One hundred sixty-one MEDLINE searches conducted by third-year medical students were analyzed and evaluated to determine which search moves were used, whether those individual moves were effective, and whether there was a relationship between specific search behaviors and the effectiveness of the search strategy as a whole. The typical search included fourteen search statements, used seven terms or "limit" commands, and resulted in the display of eleven citations. The most common moves were selection of a database, entering single-word terms and free-text term phrases, and combining sets of terms. Syntactic errors were also common. Overall, librarians judged the searches to be adequate, and students were quite satisfied with their own searches. However, librarians also identified many missed opportunities in the search strategies, including underutilization of the controlled vocabulary, subheadings, and synonyms for search concepts. No strong relationships were found between specific search behaviors and search effectiveness (as measured by the librarians' or students' evaluations). Implications of these findings for system design and user education are discussed.
We propose a cooperative conceptual modelling environment in which two agents interact: the machine and the human expert. The former is able to extract knowledge from data using a symbolic-numeric machine learning system, and the latter is able to control the learning process by accepting and validating the machine results, or by criticizing those results or the explanation that the system produces on them. The improvement of the conceptual modelling relies on the cooperation between the two agents. Results obtained with our method on prediction of primate splice junctions sites in genetic sequences are far better than those reported in the literature with other symbolic machine learning systems, and are as better as those obtained with some artificial neural networks methods reported at present. But in opposite to neural networks which lack of argumentation, our system provides the user a plausible explanation of its prediction.