Jul 2026· Journal of the National Medical Association· Vol 118, pp. 849-859· 0 citations· 11 references
Medicine
TL;DR
It is concluded that responsible physician engagement is essential to realizing AI's benefits while preserving patient safety, professional accountability, and equitable care.
Abstract
Artificial intelligence is rapidly entering clinical practice, yet many physicians-especially those in solo or small-group settings-lack the guidance and evaluation resources needed to use these tools safely. Because state medical boards regulate physicians rather than AI developers, clinicians remain fully accountable when AI‑assisted care contributes to patient harm. This article outlines the risks posed by opaque algorithms, hallucinated outputs, omissions, and inequitable model performance, while emphasizing that AI should augment-not replace-clinical judgment. Drawing on recent research and the Federation of State Medical Boards' 2024 guidance, the article clarifies professional responsibilities related to competence, documentation, informed consent, privacy, and bias mitigation. A practical toolkit offers actionable steps for evaluating AI tools, establishing verification protocols, monitoring performance, and ensuring transparency with patients. The article concludes that responsible physician engagement is essential to realizing AI's benefits while preserving patient safety, professional accountability, and equitable care.
The RACP advocates for physicians to engage in AI development and implementation using an agile human-in-the-loop approach that prioritises patient safety, clinical governance, professional training and collaboration with stakeholders.
Ian A. Scott, Christian White, Tim Shaw et al.· Internal medicine journal (P...· 0 citations
This article proposes seven questions that clinicians can run through to evaluate any clinical AI tool in the time it takes to read an abstract, alongside a traffic-light schema for matching oversight to risk and a short list of demands clinicians should make of vendors and institutions.
Alaa Abdelqader, M. Alkhateeb, Abdullah Al-Marrawi et al.· Avicenna Journal of Medicine· 0 citations
Trust remains a fundamental pillar of the physician–patient relationship, ensuring care that is safe, evidence-based, and grounded in shared decision-making; however, the increasing use of artificial intelligence tools such as ChatGPT has introduced a new dynamic in how patients interpret symptoms and seek medical advi...
Saria Gouher· Patient Experience Journal· 0 citations
To promote the safe and effective adoption of AI, stronger clinical evidence, structured training programs, and organizational models capable of supporting its implementation are required.
Eugenio Santoro· Recenti progressi in medicin...· 0 citations
This review addresses the primary ethical principles relevant to AI in medicine - including respect for patient autonomy, beneficence, non-maleficence, and justice - alongside key legal frameworks with respect to liability, data protection, regulatory compliance, and algorithmic transparency.
Sebastian Schleidgen, O. Friedrich· European journal of internal...· 0 citations
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