Artificial Intelligence Medical Compendium

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

Showing 1,781 to 1,790 of 165,003 articles

GeoOutageKG: A Multimodal Geospatiotemporal Knowledge Graph for Multiresolution Power Outage Analysis

arXiv Jul 30, 2025
Detecting, analyzing, and predicting power outages is crucial for grid risk assessment and disaster mitigation. Numerous outages occur each year, exacerbated by extreme weather events such as hurricanes. Existing outage data are typically reported ... read more 
Information Retrieval Computation and Language Computers and Society

Eyepiece-free pupil-optimized holographic near-eye displays

arXiv Jul 30, 2025
Computer-generated holography (CGH) represents a transformative visualization approach for next-generation immersive virtual and augmented reality (VR/AR) displays, enabling precise wavefront modulation and naturally providing comprehensive physiol... read more 
Optics Computer Vision and Pattern Recognition

FedCVD++: Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization

arXiv Jul 30, 2025
Cardiovascular diseases (CVD) cause over 17 million deaths annually worldwide, highlighting the urgent need for privacy-preserving predictive systems. We introduce FedCVD++, an enhanced federated learning (FL) framework that integrates both paramet... read more 
Machine Learning Other Quantitative Biology

Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems

arXiv Jul 30, 2025
The development of safety validation methods is essential for the safe deployment and operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to prospectively evaluate the risk of an ADS dealing with real-world traff... read more 
Robotics Machine Learning

DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion

arXiv Jul 30, 2025
We propose DepR, a depth-guided single-view scene reconstruction framework that integrates instance-level diffusion within a compositional paradigm. Instead of reconstructing the entire scene holistically, DepR generates individual objects and subs... read more 
Computer Vision and Pattern Recognition

Neural Energy Landscapes Predict Working Memory Decline After Brain Tumor Resection

arXiv Jul 30, 2025
Surgical resection is the primary treatment option for brain tumor patients, but it carries the risk of postoperative cognitive dysfunction. This study investigates how tumor-induced alterations in presurgical neural dynamics relate to postoperativ... read more 
Signal Processing Neurons and Cognition

A fully annotated pathology slide dataset for early gastric cancer and precancerous lesions.

Scientific data Jul 30, 2025
Gastric cancer, a significant global health concern, exhibits high morbidity and mortality, especially in advanced stages. Timely diagnosis and intervention are crucial for improving patient outcomes, with Endoscopic Submucosal Dissection (ESD) playi... read more 
Stomach Neoplasms Humans Endoscopic Mucosal Resection Precancerous Conditions Artificial Intelligence

Role of Artificial Intelligence in Surgical Training by Assessing GPT-4 and GPT-4o on the Japan Surgical Board Examination With Text-Only and Image-Accompanied Questions: Performance Evaluation Study.

JMIR medical education Jul 30, 2025
BACKGROUND: Artificial intelligence and large language models (LLMs)-particularly GPT-4 and GPT-4o-have demonstrated high correct-answer rates in medical examinations. GPT-4o has enhanced diagnostic capabilities, advanced image processing, and update... read more 
Educational Measurement Japan Humans Artificial Intelligence Clinical Competence General Surgery

Feature representation in analysing childhood vaccination defaulter risk predictors: A scoping review of studies in low-resource settings.

PLOS digital health Jul 30, 2025
Childhood vaccination saves millions of lives yearly, yet over a million children in low-and middle-income countries die from vaccine-preventable diseases each year. Predicting childhood vaccination defaulter risk with analytical models requires unde... read more 

Machine learning approaches for predicting the link of the global trade network of liquefied natural gas.

PloS one Jul 30, 2025
With the rising geopolitical tensions, predicting future trade partners has become a critical topic for the global community. Liquefied natural gas (LNG), recognized as the cleanest burning hydrocarbon, plays a significant role in the transition to a... read more 
Algorithms Machine Learning Commerce Natural Gas
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