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01 · ABSTRACT

Abstract

Artificial Intelligent (AI)-powered technology is expected to significantly alter the way healthcare is delivered. Artificial Intelligence tools, such as machine learning and deep learning, have shown promise in supporting diagnostic assessments, recommending treatments, guiding surgical care, monitoring patients, supporting population health management, and enhancing drug development research. These tools at varying stages of maturity can also reduce provider burden and increase efficiency by recording digital notes, optimizing operational processes, and automating laborious tasks. Challenges surrounding AI tools include high-quality data access, potentially biased data, inadequate transparency, and uncertainty over liability. Fundamental changes in governmental oversight of health care, industry-hospital communication, the patient-provider relationship, and human-AI cooperation will be necessary to take advantage of the opportunities and overcome the challenges. We need to be critical and at the same time receptive as we embrace AI tools to deliver healthcare. It would be important to maintain human oversight and control to avoid unintended consequences of runaway machines making life and death decisions.

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02 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 12 No 3 (2024): March issue, Vol.12, Issue 3
SectionResearch Articles
Published26 March 2024
DOI10.18103/mra.v12i3.5141
ISSN2375-1924
03 · RIGHTS & REUSE

Rights & reuse

This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.

Authors & affiliations

MA

M. Sawkat Anwer, PhD, DMVH

Distinguished Professor Emeritus Department of Comparative Pathophysiology Cummings School of Veterinary Medicine at Tufts University 200 Westboro Road North Grafton, MA 01536

Medical Research Archives

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