Beyond the Black Box: Is Artificial Intelligence Ready to Reshape Neurosurgical Decision‐Making? A Narrative Review

Decision-centered artificial intelligence for perioperative care outside the operating room: a practical review for surgeons

Artificial intelligence (AI) is increasingly being applied across the spectrum of surgical care; however, most existing review articles have organized prior studies primarily by algorithmic type or predicted outcomes. Consequently, a structured understanding of “when” and “why” AI is integrated into real-world clinical...

Artificial intelligence in pituitary medicine: what should an endocrinologist know?

Artificial intelligence in surgical decision-making across the perioperative continuum: a scoping review

Background The role of artificial intelligence (AI) in supporting clinical decision-making across the perioperative continuum remains incompletely defined. Although the presence of many AI models that perform well in terms of their predictive performance has been established, their role in the actual surgical decision-...

Part 2: Toward responsible AI adoption in neurointerventional surgery

Closing the gap between artificial intelligence’s (AI’s) demonstrated promise in neurointerventional surgery and its routine clinical use requires coordinated change across research, deployment and reimbursement. On the research side, progress requires interdisciplinary collaboration between clinicians and machine lear...

Artificial Intelligence in Neuroradiology: Transforming Diagnosis, Prognostication, and Workflow

Abstract Artificial intelligence (AI) is reshaping neuroimaging across the entirety of the clinical workflow, encompassing patient scheduling, scan quality assurance, image acquisition and reconstruction, automated lesion detection, pathological characterization, treatment planning, and outcome prognostication. This re...

Artificial Intelligence and the Ethical Foundations of Cardiothoracic Surgery: Evidence, Accountability, and the Limits of Delegated Judgment

Artificial intelligence (AI) is moving rapidly from retrospective prediction and image analysis into treatment selection, operative planning, intraoperative guidance, and postoperative prognostication in cardiothoracic surgery. This transition raises an ethical problem that cannot be resolved by model accuracy alone: w...