Artificial Intelligence Medical Compendium

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

Showing 30,961 to 30,970 of 220,293 articles

Deep learning-enhanced transparent transducer-based photoacoustic microscopy with improved SNR and resolution.

Optics letters Apr 15, 2026
Transparent ultrasonic transducer enables compact coaxial photoacoustic microscopy, but the trade-off between optical transparency and sensitivity and electrode nonuniformity results in reduced SNR and resolution. Here, we propose a deep learning-bas... read more 

CrackNet: A novel multi-scale architecture for crack segmentation.

PloS one Apr 15, 2026
Crack detection is essential for structural safety inspection but remains challenging due to noise, illumination variations, and complex backgrounds. In this paper, we propose CrackNet, a segmentation network specifically designed for concrete crack ... read more 

Unveiling gene perturbation effects through gene regulatory networks inference from single-cell transcriptomic data.

PLoS computational biology Apr 15, 2026
Physiological and pathological processes are governed by networks of genes called gene regulatory networks (GRNs). By reconstructing GRNs, we can accurately model how cells behave in their natural state and predict how genetic changes will affect the... read more 

Deep learning-based gait phase detection using shank-mounted IMU data: Classification approach.

PloS one Apr 15, 2026
Gait is a key indicator for assessing an individual's mobility and overall health, and accurate detection of gait cycle phases is essential for precise gait analysis. Most existing gait phase detection approaches rely on multiple wearable sensors, in... read more 

Bidirectional Mamba-2 Boosts EEG Super-Resolution via Regression and Diffusion.

Bioinformatics (Oxford, England) Apr 15, 2026
MOTIVATIONS: Electroencephalography (EEG) is a non-invasive method that records brain electrical activity from scalp electrodes, offering millisecond temporal resolution but limited spatial detail due to sparse sensor layouts. RESULTS: We present DiB... read more 

MAISNet: A Multi-Species Integrated Graph Neural Network for Acetylcholinesterase Inhibitor Screening.

Bioinformatics (Oxford, England) Apr 15, 2026
MOTIVATION: Global population aging has led to a rapid increase in neurodegenerative disorders such as alzheimer's disease (AD). Although existing drugs can temporarily alleviate symptoms, none have been proven to delay or prevent disease progression... read more 

Implementation and User Evaluation of an On-Premise Large Language Model in a German University Hospital Setting: Cross-Sectional Survey.

JMIR AI Apr 15, 2026
BACKGROUND: Large language models (LLMs) are increasingly used by employees at university hospitals for information retrieval or decision support. Self-hosted on-premise systems provide a secure environment and conform to data privacy and security re... read more 

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 
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