Healthcare decisions at the beginning and end of life pose enduring moral challenges that are increasingly intensified by the integration of artificial intelligence (AI) into clinical practice. This article examines these challenges through a moral-t... read more
JAMA otolaryngology-- head & neck surgery
Feb 5, 2026
IMPORTANCE: Large language models (LLMs), a rapidly advancing domain of artificial intelligence (AI), are poised to transform administrative, clinical, and research paradigms. Although adoption across medicine has accelerated, otolaryngology represen... read more
Data-driven techniques have a large potential to transform and accelerate the chemical sciences. However, chemical sciences also pose the unique challenge of very diverse, small, fuzzy data sets that are difficult to leverage in conventional machine ... read more
Computer methods in biomechanics and biomedical engineering
Feb 5, 2026
With the advancement of modern medicine and engineering, breast deformation analysis has become increasingly important in the fields such as cosmetic surgery, reconstructive surgery, sports biomechanics, and health-related research. The morphological... read more
This study aimed to evaluate the clinical validity of a dose-mimicking automated planning for volumetric-modulated arc therapy (VMAT) in patients with stage III non-small cell lung cancer (NSCLC), through direct comparison with a commercial dose volu... read more
BACKGROUND: Artificial intelligence (AI) applications in endoscopy, particularly computer-aided detection (CADe), have shown consistent benefit in randomized controlled trials (RCTs), with improvements in adenoma detection rate (ADR) and reductions i... read more
In this inaugural editorial for the journal Psychological Methods, the author states that he and his team of associate editors aim to advance both quantitative and qualitative methods, as well as the intersection of the two via mixed methods and mode... read more
Lung cancer remains a leading cause of cancer-related mortality worldwide, with early and accurate diagnosis posing a critical challenge for improving patient outcomes. Gene expression data provide crucial insights for lung cancer classification by r... read more
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