ARTIFICIAL INTELLIGENCE IN MEDICINE: CLINICIAN EMPOWERMENT, TRUST, AND THE CLINICIAN-PATIENT RELATIONSHIP

Abstract

Artificial intelligence (AI) has quickly become a disruptive force in healthcare, improving operational efficiency, personalizing treatment, and improving diagnostic accuracy. AI applications are already helping doctors identify illnesses early, optimize processes, and customize care for each patient, which holds promise for empowering medical professionals and enhancing patient outcomes. However, trust issues are also brought up by the integration of AI, both in the relationship between the patient and the clinician and the technology itself. Although AI has the potential to empower physicians, how it is developed, applied, and incorporated into clinical workflows will determine its impact on trust. A systematic review found that five out of ten studies indicated improved trust with Explainable AI (XAI) as compared to standard AI, demonstrating that XAI can boost clinicians trust when it provides clear and pertinent explanations. The need for careful design in XAI systems is highlighted by the fact that complicated or contradictory explanations can erode trust. It is crucial to form interdisciplinary teams with clinicians, engineers, and ethicists to guarantee that AI systems are not only technically sound but also morally upright and easy to use.4 AI powered imaging analysis for instance, has greatly increased the detection rates of cancer and predictive analytics allows for the proactive treatment of complicated illnesses like COVID-19.