Welcome to this episode of the AI Report, where we explore the latest developments in artificial intelligence in healthcare. This week's articles address important issues in the field of healthcare AI, from fairness to accuracy and the role of clinicians in decision-making. Join us as we delve into these topics and discuss the potential of AI to improve patient outcomes and transform healthcare as we know it.

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Links to articles:

Frontiers | Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning (frontiersin.org)

Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care (arxiv.org)

Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study - The Lancet Digital Health

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment (spiedigitallibrary.org)

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