Artificial Intelligence Medical Compendium

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

Showing 13,341 to 13,350 of 211,153 articles

Smartphone movement data can reliably predict smoking lapses and cravings to enable timely smoking cessation support.

Scientific reports May 21, 2026
Decades of research aiming to develop effective smoking interventions have identified triggers that contribute to failed quitting attempts including environmental (e.g. location), social (presence of other smokers), or internal (e.g. stress). Here, i... read more 

PRISM: a clinically interpretable stepwise framework for multimodal skin cancer diagnosis.

Scientific reports May 21, 2026
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Machine learning modeling of vegetation and limited two dimensional urban morphology effects on land surface temperature in Osaka using open data.

Scientific reports May 21, 2026
Urban heat islands (UHI) significantly elevate land surface temperatures (LST) in high-density subtropical cities like Osaka, Japan, exacerbating energy demand, health risks, and climate vulnerability. This study investigates LST drivers using freely... read more 

Author Correction: Biophysical prediction of protein-peptide interactions and signaling networks using machine learning.

Nature methods May 21, 2026
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Hybrid deep learning-based multimodal framework for plant leaf disease classification using RGB, Excess Green (ExG), and pseudo-thermal representations with MobileNetV2.

Scientific reports May 21, 2026
Plant diseases are a serious danger to the world's food security, because they lower agricultural output and increase economic losses. Due to subjectivity, fluctuating lighting, and environmental unpredictability, traditional visual examination techn... read more 

Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation.

Scientific reports May 21, 2026
Dysphagia presents a serious risk of aspiration that requires continuous monitoring. This study introduces standardized 2 s voice segments for aspiration detection, derived from physiological constraints observed during clinical video-fluoroscopic sw... read more 

Mitigating errors in satellite solar irradiation using a sequential empirical-ANN model for four cities across Central and Northern Pakistan.

Scientific reports May 21, 2026
Accurate prediction of global horizontal irradiance (GHI) is essential for optimizing solar energy utilization. Satellite-based datasets often overestimate GHI, leading to errors that hinder reliable solar resource assessment. This study presents a s... read more 

Optimization of connectome weights for a neural network model generating both forward and backward locomotion in C. elegans.

Scientific reports May 21, 2026
Previous studies tracking the relationship between manipulations of C. elegans neurons and the resulting behavioral changes have called for the development of a connectome-constrained neural network model that describes the cascade from neurons to be... read more 

Assessing and mitigating traffic crash risks using interpretable machine learning techniques.

Scientific reports May 21, 2026
This study aims to examine factors associated with self-reported crash involvement among drivers in Pakistan using interpretable machine learning (ML) techniques and established driver-behavior instruments. The data used in this study were collected ... read more 

Energy-efficient, real-time detection of railway fastening systems from drone-based imagery using spiking neural networks.

Scientific reports May 21, 2026
Rail fastener defects threaten track integrity and operational safety, making reliable automated inspection essential. This study develops an energy-efficient real-time railway fastener detection framework for UAV-based monitoring by integrating Spik... read more 
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