AI Medical Compendium

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis.

Machine learning. Health Mar 18, 2026

In principle, deep learning models trained on medical time-series, including wearable photoplethysmography sensor data, can provide a means to continuously monitor physiological parameters outside of clinical settings. However, there is considerable ... read more

Artificial intelligence-based prediction of boar reproductive fitness and health: Current status in research and practice.

Animal reproduction science Mar 18, 2026

The development of artificial intelligence (AI) and machine learning (ML) is transforming reproductive management in boar studs by providing objective, data-driven methods of assessing and predicting sperm quality. Conventional sperm quality analysis... read more

A Pilot Study to Evaluate Artificial Intelligence-Driven Early Retrieval of Medical Histories in the Emergency Department.

Annals of emergency medicine Mar 18, 2026

STUDY OBJECTIVE: To assess the feasibility and acceptability of using ChatGPT to obtain histories of present illnesses directly from patients or caregivers in a pediatric emergency department waiting room in a pilot study. METHODS: In a prospective m... read more

Geospatial insights and artificial intelligence in West Nile virus disease Epidemiology: The Italy case study.

Public health Mar 18, 2026

OBJECTIVES: Although artificial intelligence, including machine learning offers transformative potential, its use in infectious disease epidemiology has been understudied. Emerging infectious diseases including WNV infection remains a leading cause o... read more

Veteran oropharyngeal cancer outcomes in the modern era: a multi-institutional retrospective analysis.

Oral oncology Mar 18, 2026

OBJECTIVE: To define oncologic outcomes in Veterans in the modern era using a multi-institutional cohort designed to support development and validation of prognostic and predictive biomarkers for oropharyngeal squamous cell carcinoma (OPSCC). METHODS... read more

Identification of hypoxia-related gene signatures and molecular subtypes in chronic rhinosinusitis with nasal polyps.

Brazilian journal of otorhinolaryngology Mar 18, 2026

OBJECTIVES: Chronic Rhinosinusitis with Nasal Polyps (CRSwNP) is a common and severe subtype of Chronic Rhinosinusitis (CRS), characterized by persistent inflammation and tissue remodeling in the nasal cavity. Hypoxia, resulting from chronic inflamma... read more

Elucidating the mechanism of plasticizers associated with atherosclerosis through network toxicology, bulk RNA sequencing, and single-cell RNA sequencing analysis.

Ecotoxicology and environmental safety Mar 18, 2026

PURPOSE: This study aims to screen and identify potential atherosclerosis (AS) biomarkers associated with common plasticizer exposure, providing a basis for future investigation into targeted therapeutic strategies. METHODS: AS-related datasets (from... read more

Corrigendum to 'Multi-Task Deep Learning for Sex and Age Estimation from Panoramic Radiographs in a Brazilian Young Population': [International Dental Journal Volume 76, Issue 2, April 2026, 109381].

International dental journal Mar 18, 2026

Deep Learning Echocardiographic Trajectories of Heart Failure With Preserved Ejection Fraction: A Retrospective Cohort Study.

JACC. Advances Mar 18, 2026

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a dynamic chronic disease. Specific disease trajectories remain unclear. OBJECTIVES: This study aims to investigate cardiac structure and function trajectories measured by echocard... read more

Past, present and future perspectives of traumatic brain injury.

Journal of critical care Mar 18, 2026

Despite extensive research, traumatic brain injury (TBI) imposes significant mortality and morbidity burden globally. This narrative review provides a comprehensive overview of how TBI classification, surgical and critical care management, and physio... read more

Artificial Intelligence Medical Compendium