Artificial Intelligence Medical Compendium

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

Showing 30,971 to 30,980 of 220,293 articles

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 

Personalizing In-Vehicle warnings: A causal machine learning approach to optimizing workload and risk perception.

Accident; analysis and prevention Apr 15, 2026
The effectiveness of in-vehicle Connected Information (CI) is often limited by uniform warning strategies that overlook the interaction among warning design, traffic context, and driver state. This study establishes a causal machine learning framewor... read more 

Cone-Beam Computed Tomography-Based Three-Dimensional Phenotypes of Skeletal Class II Malocclusion in Yemeni Adults: A Principal Component and Cluster Analysis.

International dental journal Apr 15, 2026
INTRODUCTION AND AIMS: Skeletal Class II malocclusion is heterogeneous, and conventional two-dimensional cephalometry may not fully capture relevant three-dimensional (3D) craniofacial variation. This study aimed to identify 3D skeletal phenotypes of... read more 

Evaluating Large-Language Models Against Providers on Surgical Diagnostic Reasoning Tasks.

The Journal of surgical research Apr 15, 2026
INTRODUCTION: Large language models (LLMs) have shown efficacy in surgery-related tasks such as literature screening and performing well on-board examination; however, their utility in diagnostic reasoning remains unclear. We assessed the accuracy an... read more 
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