AI Medical Compendium

Assessing Healthcare Professionals' Attitudes Toward Artificial Intelligence in Turkey: A Cross-Sectional Study.

Public health nursing (Boston, Mass.) Feb 5, 2026

OBJECTIVES: To assess healthcare professionals' attitudes toward artificial intelligence (AI) in healthcare and to identify personal and professional factors shaping these attitudes. DESIGN: A cross-sectional, descriptive study conducted in accordanc... read more

Governance Framework for Safe and Ethical Implementation of Artificial Intelligence in Surgery: A Modified-Delphi Consensus.

Journal of the American College of Surgeons Feb 5, 2026

BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSS) demonstrate performance comparable or superior to human experts in certain tasks. However, their integration into surgical practice faces a significant implemen... read more

Personal reflection on future of psychiatry.

International review of psychiatry (Abingdon, England) Feb 5, 2026

History of Psychiatry can be of help, not only not to repeat the mistakes of the past, but also to find good heuristic sources in old books. A constant feature of medicine that goes back to the foundation of its scientific roots, thousands of years a... read more

Prediction of Charged Small Molecule Conformations in Solution Using a Balanced ML/MM Potential.

Journal of chemical information and modeling Feb 5, 2026

Reliably evaluating the most stable conformations of charged small organic molecules in solution poses a major challenge to computational chemistry, due to limitations in the accuracy or efficiency of conventional methodologies. In this paper, we pre... read more

Sculpting Superior Subnanometer Catalysts Directly from Inert Gold.

Journal of the American Chemical Society Feb 5, 2026

Bulk gold, renowned for its catalytic inertness, can be transformed into an exceptionally active catalyst by engineering undercoordinated sites on its surface. However, directly sculpting such active sites from extended terraces remains a fundamental... read more

Open-Source Machine Learning Computed Tomography Scan Segmentation for Spine Osteoporosis Diagnostics.

Neurosurgery Feb 5, 2026

BACKGROUND AND OBJECTIVES: Dual-energy x-ray absorptiometry (DXA) is the standard for assessing bone mineral density (BMD); however, its accuracy is limited by bone architecture, acquisition quality, and clinical context. Hounsfield units (HUs) offer... read more

Artificial Intelligence-Driven Adaptation of Pediatric Traumatic Brain Injury Case Descriptions for Family Communication.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists Feb 5, 2026

OBJECTIVE: We examined whether GPT-4o, a widely used large language model (LLM), could produce age- and education-appropriate versions of complex pediatric traumatic brain injury case descriptions, while preserving clinical accuracy and emotional ton... read more

Learning the Principles of T Cell Antigen Discernment.

Annual review of biophysics Feb 5, 2026

T cells are central to the adaptive immune response, capable of detecting pathogenic antigens while ignoring healthy tissues with remarkable specificity and sensitivity. Quantitatively understanding how T cell receptors discern among antigens require... read more

Synergistic impact of Gram-negative bacterial co-infection on invasive pulmonary aspergillosis in non-neutropenic patients: a machine learning-based risk stratification approach.

Minerva anestesiologica Feb 5, 2026

BACKGROUND: Invasive pulmonary aspergillosis (IPA) is increasingly recognized in non-neutropenic patients, where coexisting bacterial infections, particularly with Gram-negative pathogens, may impair susceptibility. However, validated tools for early... read more

Auto-LSN: fully automated liver surface nodularity quantification in CT based on deep learning for the evaluation of advanced chronic liver disease.

European radiology Feb 5, 2026

OBJECTIVES: Liver surface nodularity (LSN) is a recognized non-invasive biomarker of cirrhosis. This study introduces auto-LSN, an artificial intelligence (AI)-based algorithm for fully automated LSN quantification, assesses its association with fibr... read more

Artificial Intelligence Medical Compendium