Artificial Intelligence Medical Compendium

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

Showing 2,411 to 2,420 of 166,891 articles

Microfluidics for geosciences: metrological developments and future challenges.

Lab on a chip Aug 4, 2025
This review addresses the main metrological developments over the past decade for microfluidics applied to geosciences. Microfluidic experiments for geosciences seek to decipher the complex interplay between coupled, multiphase, and reactive processe... read more 

Ensemble of Handcrafted and Learned Features for Colorectal Cancer Classification.

Journal of imaging informatics in medicine Aug 4, 2025
Colorectal cancer (CRC) remains one of the most common and lethal malignancies worldwide. The current gold standard for CRC diagnosis relies on histopathological analysis, a time-consuming process subject to inter-observer variability and dependent o... read more 

Facilitators and barriers for using artificial intelligence in cancer pain assessment: a qualitative study.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Aug 4, 2025
OBJECTIVES: This study qualitatively explored healthcare providers' perception regarding the use of modern technology, specifically artificial intelligence (AI), in the assessment and management of cancer pain. It also aimed to identify barriers to a... read more 
Humans Artificial Intelligence Health Personnel Female Adult Male Middle Aged Qualitative Research Attitude of Health Personnel Interviews as Topic Pain Measurement Pain Management Cancer Pain

Do experimental projection methods outcompete retention time prediction models in non-target screening? A case study on LC/HRMS interlaboratory comparison data.

The Analyst Aug 4, 2025
Retention time (RT) is essential in evaluating the likelihood of candidate structures in nontarget screening (NTS) with liquid chromatography high resolution mass spectrometry (LC/HRMS). Approaches for estimating the RTs of candidate structures can b... read more 

EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare

arXiv Aug 4, 2025
Arabic-language patient feedback remains under-analysed because dialect diversity and scarce aspect-level sentiment labels hinder automated assessment. To address this gap, we introduce EHSAN, a data-centric hybrid pipeline that merges ChatGPT pseu... read more 
Computation and Language Artificial Intelligence Machine Learning Social and Information Networks

Prevalence, associated risk factors and satellite imagery analysis in predicting soil-transmitted helminth infection in Nakhon Si Thammarat Province, Thailand.

Scientific reports Aug 4, 2025
Soil-transmitted helminth (STH) infections remain a significant public health concern in rural areas, often leading to nutritional and physical impairment, particularly in children. This study aimed to assess the prevalence and associated factors of ... read more 
Humans Female Soil Risk Factors Cross-Sectional Studies Animals Male Prevalence Thailand Child Feces Helminthiasis Helminths Satellite Imagery

Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion

arXiv Aug 4, 2025
Recommender systems (RSs) are now fundamental to various online platforms, but their dependence on user-contributed data leaves them vulnerable to shilling attacks that can manipulate item rankings by injecting fake users. Although widely studied, ... read more 
Machine Learning Artificial Intelligence Information Retrieval

Mapping EEG-based hypnosis research: a bibliometric study.

The American journal of clinical hypnosis Aug 4, 2025
Hypnosis, traditionally studied as a psychological phenomenon, is increasingly explored through electroencephalography (EEG) to monitor alterations in brain activity associated with the hypnotic state. This study provides a bibliometric analysis of E... read more 

"Computational Prediction of Mutagenicity Through Comprehensive Cell Painting Analysis".

Mutagenesis Aug 4, 2025
The mutagenicity of chemical compounds is a key consideration in toxicology, drug development, and environmental safety. Traditional methods such as the Ames test, while reliable, are time-intensive and costly. With advances in imaging and machine le... read more 

Glioblastoma Overall Survival Prediction With Vision Transformers

arXiv Aug 4, 2025
Glioblastoma is one of the most aggressive and common brain tumors, with a median survival of 10-15 months. Predicting Overall Survival (OS) is critical for personalizing treatment strategies and aligning clinical decisions with patient outcomes. I... read more 
Computer Vision and Pattern Recognition
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