Artificial Intelligence Medical Compendium

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

Showing 15,591 to 15,600 of 213,401 articles

Pan-cancer analysis of single-cell profiles with polygenic signals reveals genetic influences on tumor immunity across cancers.

Communications biology
Inherited genetic variation can weaken the ability of the immune system to detect and eliminate malignant cells, limiting the effectiveness of cancer immunotherapy. However, how germline polymorphisms shape the tumor immune microenvironment across ca... read more 

Machine learning and artificial intelligence in liquid biopsy-based early detection of pancreatic cancer: a scoping review.

BJC reports
Pancreatic ductal adenocarcinoma (PDAC) presents as a cancer with an especially poor prognosis, largely due to the challenges surrounding its early diagnosis. Liquid biopsy has emerged as a promising, noninvasive method for screening across a variety... read more 

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

Scientific reports
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 

Machine learning modeling of vegetation and limited two dimensional urban morphology effects on land surface temperature in Osaka using open data.

Scientific reports
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 

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

Scientific reports
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
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
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
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