Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 31,321 to 31,330 of 220,544 articles

Risk-Guided Atrial Fibrillation Screening With Artificial Intelligence-Enabled Electrocardiogram Models: A VITAL-AF Trial Analysis.

Journal of the American College of Cardiology
BACKGROUND: Screening for atrial fibrillation (AF) may lead to earlier detection and initiation of preventive measures. Current AF screening approaches using a guideline age-based threshold of ≥65 years have shown limited yield. OBJECTIVES: In an AF ... read more 

Bias in Student Evaluations of Surgical Attendings: Role of Gender, Race, Age and Experience.

The Journal of surgical research
INTRODUCTION: Student evaluations influence faculty promotion but may reflect implicit bias. We assessed whether surgeon gender, race, age, and experience were associated with differences in student evaluations at a large academic medical center. MAT... read more 

Artificial Intelligence-Driven Mapping of Global Microsurgery Research: Dual Automation for Data and Classification.

The Journal of surgical research
INTRODUCTION: Microsurgery is one of the most technically demanding and rapidly advancing domains in modern surgery. Despite its transformative role across reconstructive and restorative disciplines, global patterns of microsurgical research producti... read more 

A natural defense against particulate matter 10 (PM10): Network pharmacology-based insights into the protective effects of Chrysanthemum zawadskii var. latilobum against PM10-induced lung inflammation.

Ecotoxicology and environmental safety
Airborne particulate matter 10 (PM10) induces lung inflammation. However, interventions remain limited. We evaluated the protective effects of Chrysanthemum zawadskii var. latilobum (CZL) against PM10-induced lung injury using an integrated strategy ... read more 

STC2-mediated calcium homeostasis dysregulation in the osteosarcoma microenvironment: Insights from single-cell sequencing and machine learning.

Translational oncology
BACKGROUND: Osteosarcoma (OS) is an aggressive bone malignancy with a poor prognosis. Dysregulated calcium homeostasis may contribute to OS progression. METHODS: Various machine learning algorithms were integrated into multiple model combinations to ... read more 

Interpretable machine learning reveals regional heterogeneity and key environmental drivers of BOD5 in complex river networks.

Journal of environmental management
Accurate prediction of Biochemical oxygen demand (BOD5) can substantially reduce the labor-intensive monitoring required to assess organic pollution in surface water, yet it remains challenging in regions subject to strong anthropogenic disruptions. ... read more 

Revised estimates of forest carbon sequestration reveal the true sink capacity of Japanese forests.

The Science of the total environment
An accurate estimate of total forest carbon sequestration is crucial to develop effective strategies for wood production and reduce CO2 emissions. Japan's National Forest Inventory (NFI) collects data on stand stem volumes in forests across Japan. Th... read more 

Building a tactical medical chatbot for conflict and low-resource settings: A low-code platform approach.

Healthcare (Amsterdam, Netherlands)
BACKGROUND: Conflict zones severely disrupt healthcare access, with millions affected by armed conflicts. The lack of standardized medical guidance exacerbates these challenges. Digital health solutions like chatbots and telemedicine offer potential ... read more 

Cross-task interpretability through unified modeling reveals a universal shortcut bias in neoantigen prediction.

Cell genomics
Accurate neoantigen prediction is central to the design of personalized cancer immunotherapy. The immune recognition of neoantigens is a multi-step process involving peptide-major histocompatibility complex (MHC) binding, antigen presentation, and T ... read more