Artificial Intelligence Medical Compendium

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

Showing 15,301 to 15,310 of 213,137 articles

An explainable multi-stage framework for brain tumor classification using hybrid feature fusion and EfficientNetB5 model.

Scientific reports May 21, 2026
Accurate recognition and classification of severity level of brain tumor (BT) is essential for clinical decision making. Manual assessment of brain tumor is a laborious and time consuming task for Experts. Existing deep learning (DL) models have been... read more 

Microscopic image enhancement for accurate sickle cell disease identification using intuitionistic fuzzy driven retinex.

Scientific reports May 21, 2026
Sickle cell disease (SCD) is a debilitating genetic blood disorder that must be identified and diagnosed early for effective treatment planning. Several factors hinder early identification in microscopic images, including uneven blood smears, lack of... read more 

Machine learning evaluation of TyG-based metrics for arteriosclerosis progression.

Scientific reports May 21, 2026
Insulin resistance (IR) is a significant risk factor for arteriosclerosis. The triglyceride-glucose (TyG) index and its obesity-related derivatives (TyG-BMI, TyG-WC, and TyG-WHtR) have emerged as reliable markers of IR. While diabetes, a consequence ... read more 

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

Communications biology May 21, 2026
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 May 21, 2026
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 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 
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