Why a medical AI with 97 percent accuracy can still fail in the clinic: overfitting, test-set illusions and how to read AI performance claims…

Do AI scribes and documentation tools reduce clinicians’ documentation time and burden? Findings from a systematic review and meta-analysis.

How artificial intelligence is used to prevent falls in hospitals: current applications, challenges and future directions.

A comparison of large language models and human experts in assessing the credibility of children’s statements.

How artificial intelligence supports early detection and management of non-communicable diseases.

Artificial intelligence in medicine: definitions, history, main applications and its impact on clinical practice.

Explainable AI for diagnosing mental disorders in children: methods, accuracy and transparency.

The convergence of AI, machine learning and deep learning in oncology: applications and challenges.

Development of a novel AI clinical decision support system for hand surgery and its potential.

What evidence shows about artificial intelligence’s impact on clinical outcomes in dentistry.

How AI supports patient safety through risk management in healthcare: applications and limits.

Early effectiveness of AI-driven insulin delivery: what the study found about glucose control and safety.