Artificial Intelligence Medical Compendium

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

Showing 30,841 to 30,850 of 220,177 articles

Towards eco-friendly apple farming: Real-time codling moth monitoring using improved YOLOv10 and IoT integration.

PloS one Apr 15, 2026
Pest-related crop losses pose a critical threat to food security and sustainable agriculture, especially in apple orchards where the codling moth (Cydia pomonella) is a major concern. This study introduces an advanced pest monitoring system that inte... read more 

Bioinformatics analysis and qRT-PCR validation of iron metabolism-related genes in pediatric asthma.

PloS one Apr 15, 2026
Pediatric asthma (PA) is a chronic airway disease with a complex etiology, and iron metabolism disorder is believed to be involved in its pathogenesis. In this study, we integrated three peripheral blood transcriptome datasets from the GEO database (... read more 

Auto-assessment of assessment: A human-in-the-loop AI framework addressing policy gaps in academic assessment.

PloS one Apr 15, 2026
Education is being transformed by rapid advances in Artificial Intelligence (AI), including emerging Generative Artificial Intelligence (GAI). Such technology can significantly support academics and students by automating monotonous tasks and making ... read more 

DIPLI: deep image prior lucky imaging for blind astronomical image restoration.

Scientific reports Apr 15, 2026
Modern image restoration and super-resolution methods utilize deep learning due to its superior performance compared to traditional algorithms. However, deep learning typically requires large labeled training datasets, which are rarely available in a... read more 

Journal of Global Health's GUidelines for Authors on Requesting and DIsclosing changes in Authorship Nominations (GUARDIAN).

Journal of global health Apr 15, 2026
We address the growing concern of requests for post-submission and post-acceptance changes in authorship which our editorial team has observed in recent years. We emphasise that authorship order should be agreed upon by all contributors before submis... read more 

Single-molecule microscopy of biomolecular condensates: From liquid droplets to heterogeneous networks.

Current opinion in structural biology Apr 15, 2026
Single-molecule microscopy has transformed our view of biomolecular condensates-membraneless organelles that organize cellular biochemistry and are frequently dysregulated in disease-revealing them not as simple liquid droplets, but as spatially hete... read more 

Lung cancer diagnosis from CT scans using artificial intelligence techniques: A global perspective.

Clinics (Sao Paulo, Brazil) Apr 15, 2026
OBJECTIVE: In this research, we conducted a systematic review of artificial intelligence techniques used for the diagnosis of lung cancer. METHODS: A systematic search of Web of Science, PubMed, Scopus, Epistemonikos, Cochrane, Medline, and Embase da... read more 

The nonlinear impact of road safety policy implementation on the severity of road traffic crashes: A fusion of deep learning and Bayesian random parameter methods.

Accident; analysis and prevention Apr 15, 2026
Road crashes remain a primary focus in the field of traffic safety research due to their potentially severe societal and individual consequences. While many studies have focused on environmental and collision-related factors that influence traffic ac... read more 

Empirical modeling of vehicle-bicycle interactions on high-speed rural roads: passing lateral distance and speed.

Accident; analysis and prevention Apr 15, 2026
Driving behavior and interactions with bicyclists on rural roads have not been quantified and modeled extensively. Naturalistic bicycling data for 1,991 passing events were collected on a rural two-lane roadway (55 mph, 88 kph speed limit) to quantif... read more 

AI Conflict Observer: Conflict severity and scenario identification for intersection based on Ensemble Transformer.

Accident; analysis and prevention Apr 15, 2026
The application of perception and edge computing technologies provides extensive data support for intersection conflict analysis. However, traditional threshold-based and semantic rule-based conflict analysis methods struggle to address the challenge... read more 
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