By P. Suetens, R. Verbeeck, D. Delaere, J. Nuyts, B. Bijnens (auth.), Mario Stefanelli, Arie Hasman, Marius Fieschi, Jan Talmon (eds.)
This ebook comprises 26 papers describing learn within the do- major of synthetic Intelligence in medication. The papers are grouped round the following topics: method, wisdom illustration, scientific purposes, modelling, doubtful- ty administration, wisdom acquisition, and the person perspec- tive. The booklet provides an outline of the present nation of AI in drugs study in Europe. It offers a number of techni- ques and techniques which are prone to play a massive function in destiny purposes. within the part on medical applica- tions not just latest structures are defined, yet result of overview reviews are provided as well.
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Extra info for AIME 91: Proceedings of the Third Conference on Artificial Intelligence in Medicine, Maastricht, June 24–27, 1991
1990). Medical expertise as a function of task difficulty. Memory & Cognition, 18(4), 394-406. Patil, R. , & Schwartz, W. (1984). Causal understanding of patient illness in medical diagnosis. In W. J. Clancey & H. E. ), Readings in medical artificial intelligence (pp. 339-360). Reading, MA: Addison-Wesley Publishing Company. Pearl, J. (1988). Probabilistic reasoning in intelligent systems: Networks of plausible inference. San Mateo: Morgan Kaufmann Publishers, Inc. , & Barosi, G. (1990). An epistemological framework for medical knowledge based systems.
On the contrary, a steady growth of biomedical knowledge can be discerned. These two results seem contradictory. If medical experts do not anymore apply biomedical knowledge in clinical reasoning, why should they also know more about these subjects? Two possible explanations can be discerned. , clinical knowledge in diagnosis and biomedical knowledge in explanation), or biomedical knowledge is fully integrated in clinical knowledge. In the fIrst case biomedical knowledge does not playa role in diagnosis anymore.
C :;; >. n en ~ c. ~ Figure 1. Number of biomedical and clinical projX>sitions extracted from the think-aloud protocols. 014). Figure 2 shows an almost monotonic increase with level of expertise. Increasing levels of expertise appear to be associated with a growth in the biomedical knowledge of pancreatitis and not with a decrease of the availability of this kind of knowledge as was hyjX>thesized. 4092). This finding is in sharp contrast with the finding that the on-line application of biomedical knowledge decreased after the fourth year level.