Work

Computer-aided Diagnosis of Acute Abdominal Pain

Year: 1972

Type: article

Abstract: This paper reports a controlled prospective unselected real-time comparison of human and computer-aided diagnosis in a series of 304 patients suffering from abdominal pain of acute onset.The computing system's overall diagnostic accuracy (91.8%) was significantly higher than that of the most senior member of the clinical team to see each case (79.6%). It is suggested as a result of these studies that the provision of such a system to aid the clinician is both feasible in a real-time clinical setting, and likely to be of practical value, albeit in a small percentage of cases.

Source: BMJ

DOI: 10.1136/bmj.2.5804.9

Authors: F. T. de Dombal, D. J. Leaper, J. R. Staniland, A. P. McCann, Jane C. Horrocks

Institutions: Leeds General Infirmary, University of Leeds, University of Cambridge, Stanford University

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W2046727047