Shadi Aminololama-Shakeri1, Javier E López2. 1. 1 Department of Radiology, University of California Davis Medical Center, 4860 Y St, Ste 3100, Sacramento, CA 95817. 2. 2 Department of Internal Medicine, Cardiovascular Division, University of California Davis, Davis, CA.
Abstract
OBJECTIVE: The doctor-patient relationship has been evolving from benevolent paternalism to a more patient-centered relationship in the modern era. Although artificial intelligence (AI) has the potential to improve nearly every aspect of health care, many physicians are skeptical about integrating AI into their current medical practice. The purpose of this article is to explore what AI means for the doctor-patient relationship and for breast imaging radiologists. CONCLUSION: The promise of AI is its potential to release physicians from tasks that are better performed by automation. AI may enhance our diagnostic accuracy to the point that we are able to refocus on the art of the doctor-patient relationship.
OBJECTIVE: The doctor-patient relationship has been evolving from benevolent paternalism to a more patient-centered relationship in the modern era. Although artificial intelligence (AI) has the potential to improve nearly every aspect of health care, many physicians are skeptical about integrating AI into their current medical practice. The purpose of this article is to explore what AI means for the doctor-patient relationship and for breast imaging radiologists. CONCLUSION: The promise of AI is its potential to release physicians from tasks that are better performed by automation. AI may enhance our diagnostic accuracy to the point that we are able to refocus on the art of the doctor-patient relationship.
Entities:
Keywords:
artificial intelligence; breast imaging; breast imaging radiologist; deep learning; patient-doctor relationship
Authors: Muhammad Irfan; Muhammad Aksam Iftikhar; Sana Yasin; Umar Draz; Tariq Ali; Shafiq Hussain; Sarah Bukhari; Abdullah Saeed Alwadie; Saifur Rahman; Adam Glowacz; Faisal Althobiani Journal: Int J Environ Res Public Health Date: 2021-03-16 Impact factor: 3.390