Artificial intelligence in healthcare: applications, challenges, and future directions. A narrative review informed by international, multidisciplinary expertise.

This narrative review evaluates the role of artificial intelligence (AI) in healthcare, summarizing its historical evolution, current applications across medical and surgical specialties, and implications for allied health professions and biomedical research. With careful regulation, clinician-led design, and global equity considerations, AI can augment healthcare delivery and research.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 We conducted a structured literature search in Ovid MEDLINE (2018-2025) using terms related to AI, machine learning, deep learning, large language models, generative AI, and healthcare applications.
• 2 Priority was given to peer-reviewed articles providing novel insights, multidisciplinary perspectives, and coverage of underrepresented domains.
• 3 AI is increasingly applied to diagnostics, surgical navigation, risk prediction, and personalized medicine.

Understanding this could lead to better treatments, improved diagnostics, or a deeper grasp of how the human body works — benefiting patient care globally.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: