Artificial intelligence in medicine: the challenges ahead. Export

@article{citeulike:2431195, abstract = {The modern study of artificial intelligence in medicine (AIM) is 25 years old. Throughout this period, the field has attracted many of the best computer scientists, and their work represents a remarkable achievement. However, AIM has not been successful-if success is judged as making an impact on the practice of medicine. Much recent work in AIM has been focused inward, addressing problems that are at the crossroads of the parent disciplines of medicine and artificial intelligence. Now, AIM must move forward with the insights that it has gained and focus on finding solutions for problems at the heart of medical practice. The growing emphasis within medicine on evidence-based practice should provide the right environment for that change.}, address = {Hewlett-Packard Research Laboratories, Stoke-Gifford, Bristol, UK. ewc@hplb.hpl.hp.com}, author = {Coiera, E. W.}, citeulike-article-id = {2431195}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/8930853}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=8930853}, issn = {1067-5027}, journal = {J Am Med Inform Assoc}, keywords = {ai, medical-decision-support}, number = {6}, pages = {363--366}, posted-at = {2008-02-26 19:55:42}, priority = {2}, title = {Artificial intelligence in medicine: the challenges ahead.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/8930853}, volume = {3}, year = {1996} }

TY - JOUR ID - citeulike:2431195 L3 - citeulike-article-id:2431195 N2 - The modern study of artificial intelligence in medicine (AIM) is 25 years old. Throughout this period, the field has attracted many of the best computer scientists, and their work represents a remarkable achievement. However, AIM has not been successful-if success is judged as making an impact on the practice of medicine. Much recent work in AIM has been focused inward, addressing problems that are at the crossroads of the parent disciplines of medicine and artificial intelligence. Now, AIM must move forward with the insights that it has gained and focus on finding solutions for problems at the heart of medical practice. The growing emphasis within medicine on evidence-based practice should provide the right environment for that change. IS - 6 JF - J Am Med Inform Assoc SN - 1067-5027 AD - Hewlett-Packard Research Laboratories, Stoke-Gifford, Bristol, UK. ewc@hplb.hpl.hp.com EP - 366 TI - Artificial intelligence in medicine: the challenges ahead. VL - 3 SP - 363 KW - ai KW - medical-decision-support AU - Coiera, EW PY - 1996///c UR - http://view.ncbi.nlm.nih.gov/pubmed/8930853 ER -