AI Medical Compendium

Automated Detection and Classification of Radiology Report Discrepancies Using NLP: A Tool for Resident Education and Quality Assurance.

Journal of the American College of Radiology : JACR Apr 1, 2026

PURPOSE: The aim of this study was to develop and evaluate a natural language processing (NLP) system that automatically detects and classifies discrepancies between preliminary and final radiology reports, with the goal of enhancing resident educati... read more

Deterioration of immunization resilience: A Bayesian machine learning assessment of the 2025-2026 measles outbreak in Mexico.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases Apr 1, 2026

OBJECTIVE: The 2025 measles outbreak in Mexico (5741 cases) marked a severe decline in immunization resilience. We aimed to measure this systemic vulnerability and project 2026 coverage. DESIGN OR METHODS: A Bayesian Ridge Regression model was built ... read more

Adaptive digital workflow for virtual patient modeling: Integrating static registration and six-degree-of-freedom jaw tracking.

Journal of dentistry Apr 1, 2026

OBJECTIVES: Conventional prosthodontic workflows often separate static articulators from functional mandibular analyses, thereby limiting individualized treatment planning. This paper proposes an adaptive digital workflow for virtual patient modeling... read more

A minimalist and robust diagnostic model for neonatal biliary atresia: Harnessing MMP-7 and machine learning in a time-critical setting.

Journal of pediatric surgery Apr 1, 2026

BACKGROUND: Early diagnosis is the most critical determinant of native liver survival in infants with biliary atresia (BA). Accurate differentiation of BA from other neonatal cholestatic disorders remains particularly challenging within the first 28 ... read more

Clinical applications of EEG connectivity in acute brain injuries: A systematic review.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Apr 1, 2026

OBJECTIVE: While connectivity methods have been widely studied as predictors of recovery in chronic disorders of consciousness (DoC), evidence for EEG-based connectivity measures in the acute phase of acute brain injuries (ABI) is limited. This study... read more

Profiling spatiotemporal contexts associated with compound exposure disadvantages in noise and greenery: A study using mobile sensors and explainable machine learning.

Social science & medicine (1982) Apr 1, 2026

Although exposures to noise or greenery in isolation have been widely studied, limited research has explored the nonlinear associations between spatiotemporal contexts and compound disadvantages from a daily mobility perspective. Drawing on data from... read more

Derivation of safety threshold for soil organic chemicals based on source-transport-fate dynamics in the soil-groundwater system: A case study of soil 1,2,3-trichloropropane in the Yangtze River Delta region, China.

Journal of hazardous materials Apr 1, 2026

1,2,3-Trichloropropane (TCP) is a persistent and highly toxic contaminant that poses substantial risks to groundwater systems. However, deriving groundwater-protective soil safety thresholds remains challenging because conventional empirical methods ... read more

Respiration-Induced Weakening of Land Sink Contributed to the Largest CO2 Increase in 2024.

Global change biology Apr 1, 2026

In 2024, the global annual growth rate of atmospheric CO2 (CGR) surged to a record of 3.73 ppm year-1-the highest since 1959-exceeding the 1.5°C climate threshold for the first time. However, the drivers behind this unprecedented rise remain poorly u... read more

A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.

Bioinformatics (Oxford, England) Apr 1, 2026

MOTIVATION: Long non-coding RNAs (lncRNAs) have emerged as crucial players in diverse physiological and pathological processes, yet the biological mechanisms of the vast majority of lncRNAs remain elusive. To fill this gap, it is necessary to improve... read more

Artificial intelligence, personalized education, Dunning-Kruger effect.

Academic medicine : journal of the Association of American Medical Colleges Apr 1, 2026

Artificial Intelligence Medical Compendium