Author: Nils Aoun, Chloé Currie, Itai Epstein, and Chaaron Nahar
Publisher: Maiei
Publication Year: 2022
Summary: The following article covers how research in medicine by people is at a plateau, many of the recent advancements are coming through artificial intelligence (AI). AI has primarily increased the efficiency of the diagnosis process. Showing great accuracy in classifying imaging from scans of specific diseases, helping save many lives. However, the full benefits of using AI to predict and act cannot be realized without considering the potential ethical issues. The 4 primary concerns are: 1). Data used to create algorithms can be biased for various reasons; this bias is then reflected in the algorithm, predictions, and recommendations resulting from the analysis; 2). Physicians should understand how algorithms are created as well as the statistical models that predict outcomes. This would allow the physician to have some agency and not simply accept results while becoming dependent on these algorithms; 3). The human aspect of patient care, as well as clinical experience, cannot be disregarded; and 4). Machine learning-based clinical guidance can introduce a third-party actor, which comes between the physician and the patient. This new middleman challenges the dynamics of responsibility and expectations regarding confidentiality.