AI Medical Compendium

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

AI software as a third reader in breast cancer screening-a prospective diagnostic observational study.

European radiology Feb 5, 2026

OBJECTIVE: Despite advances in mammography screening, some cancers remain undetected, prompting the evaluation of artificial intelligence (AI) as an independent third reader to reduce missed cancers. MATERIALS AND METHODS: In this prospective study, ... read more

Dynamic Eyelid Evaluation Using a Deep Neural Network in Upper Blepharoplasty: A Prospective Multicenter Pilot Study.

Aesthetic plastic surgery Feb 5, 2026

BACKGROUND: Upper blepharoplasty is the most common cosmetic procedure in East Asia. A natural Asian double eyelid features specific crease characteristics. AI advancements, such as UNet and PointRend, enhance medical image segmentation, aiding in po... read more

Optical Tweezers in Emulsion Research: Principles, Advances, and Prospects.

Langmuir : the ACS journal of surfaces and colloids Feb 5, 2026

Optical tweezers (OTs) have emerged as a powerful tool for probing emulsion dynamics with single-droplet precision, enabling quantitative analysis of interfacial interactions. Recent OT studies have systematically elucidated the critical factors gove... read more

Integrative bioinformatics and machine learning approaches identify novel diagnostic signatures for oxaliplatin-resistant colorectal cancer.

International journal of colorectal disease Feb 5, 2026

BACKGROUND: Oxaliplatin resistance significantly impairs therapeutic outcomes in colorectal cancer. However, reliable diagnostic markers for early detection of resistance remain limited. This study aimed to identify novel diagnostic signatures throug... read more

Artificial Intelligence Medical Compendium