中文ai工具

Artificial intelligence (AI)-based technologies hold promise for faster and more accurate devices in health care; however, little is known about their availability to pediatric patients. A comprehensive analysis of US Food and Drug Administration (FDA) regulatory submissions is necessary to identify technologies with pediatric labeling.

Academic publishing underpins surgical decision-making, but the rapid adoption of generative artificial intelligence (AI) raises concerns about research credibility and patient safety. To the best of our knowledge, no prior pilot study has examined its presence in plastic and reconstructive surgery. Detection tools remain imperfect, and journals lack consensus on disclosure policies, leaving a gap between rapid adoption and effective oversight.

Fibrosis after glaucoma drainage surgery (GDS) is the main factor behind glaucoma surgery failures. Previous studies showed that cereblon (CRBN) protein is involved in tissue differentiation, although its role in glaucoma remains unknown. Herein we explored the role of CRBN and its ligand thalidomide (THD) in fibrosis after GDS.

Retrospective longitudinal cohort study.

Psychedelics show great promise for treating Central Nervous System (CNS) disorders but are limited by side effects like hallucinations. Molecular dynamics (MD) simulations offer atomic-level insights into receptor interactions, helping to overcome these challenges and guide the development of safer, more effective psychedelic-based therapies.

Stressor-associated atrial fibrillation (AF) refers to new-onset AF that occurs with a reversible, acute stressor. Identifying individuals at highest risk for AF recurrence is essential to guide management. Although clinical factors have shown limited value, the utility of contemporary artificial intelligence (AI)-enabled models using the 12-lead ECG to estimate recurrence risk remains unknown.