Artificial intelligence in medicine: The challenges ahead

Research output: Contribution to journalArticleResearchpeer-review

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.

LanguageEnglish
Pages363-366
Number of pages4
JournalJournal of the American Medical Informatics Association
Volume3
Issue number6
DOIs
Publication statusPublished - 1 Nov 1996

Fingerprint

Artificial Intelligence
Medicine
Evidence-Based Practice

Cite this

@article{be2ddf744b5b4d8880afba486430e91d,
title = "Artificial intelligence in medicine: The challenges ahead",
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.",
author = "Coiera, {Enrico W.}",
year = "1996",
month = "11",
day = "1",
doi = "10.1136/jamia.1996.97084510",
language = "English",
volume = "3",
pages = "363--366",
journal = "Journal of the American Medical Informatics Association : JAMIA",
issn = "1067-5027",
publisher = "Oxford University Press",
number = "6",

}

Artificial intelligence in medicine : The challenges ahead. / Coiera, Enrico W.

In: Journal of the American Medical Informatics Association, Vol. 3, No. 6, 01.11.1996, p. 363-366.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Artificial intelligence in medicine

T2 - Journal of the American Medical Informatics Association : JAMIA

AU - Coiera, Enrico W.

PY - 1996/11/1

Y1 - 1996/11/1

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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0030280870&partnerID=8YFLogxK

U2 - 10.1136/jamia.1996.97084510

DO - 10.1136/jamia.1996.97084510

M3 - Article

VL - 3

SP - 363

EP - 366

JO - Journal of the American Medical Informatics Association : JAMIA

JF - Journal of the American Medical Informatics Association : JAMIA

SN - 1067-5027

IS - 6

ER -