Artificial Intelligence Medical Compendium

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

Showing 4,921 to 4,930 of 174,202 articles

Digital twins as self-models for intelligent structures.

Scientific reports Aug 19, 2025
A self-model is an artificial intelligence that is able to create a continuously updated internal representation of itself. In this paper we use an agent-based architecture to create a 'digital twin self-model', using the example of a small-scale thr... read more 

A plasma proteomics-based candidate biomarker panel predictive of amyotrophic lateral sclerosis.

Nature medicine Aug 19, 2025
Identifying a reliable biomarker for amyotrophic lateral sclerosis (ALS) is crucial for clinical practice. Here, in this cross-sectional study, we used the Olink Explore 3072 platform to investigate plasma proteomics as a biomarker tool for this neur... read more 

Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification.

Scientific reports Aug 19, 2025
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us... read more 
Neural Networks, Computer Glaucoma Humans Diabetic Retinopathy Deep Learning Principal Component Analysis Eye Diseases Image Processing, Computer-Assisted Machine Learning Ensemble Learning Algorithms

Effectiveness of spiritual health-based interventions in improving health indicators of patients in Iran: a systematic review and meta-analysis.

BMC psychology Aug 19, 2025
Spiritual health interventions have increasingly been recognized for their potential to improve general health outcomes. This study undertakes a systematic review and meta-analysis to evaluate their effectiveness on patient health in Iran. Data were ... read more 
Spirituality Health Status Indicators Quality of Life Iran Humans

Chat-IRB? How application-specific language models can enhance research ethics review.

Journal of medical ethics Aug 19, 2025
Institutional review boards (IRBs) play a crucial role in ensuring the ethical conduct of human subjects research, but face challenges including inconsistency, delays, and inefficiencies. We propose the development and implementation of application-s... read more 

Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion.

Scientific reports Aug 19, 2025
Unintended islanding presents substantial operational and safety risks in modern electrical distribution networks, particularly as distributed generation (DG) sources increasingly match or nearly match local load requirements. Conventional islanding ... read more 

Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis.

Journal of translational medicine Aug 19, 2025
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic nonspecific inflammatory disorder triggered by immune responses and genetic factors. Currently, there is no cure for IBD, and its etiology remains unclear. As a result, early detection and dia... read more 
Support Vector Machine Gene Ontology Inflammatory Bowel Diseases Gene Expression Profiling Humans Neural Networks, Computer Machine Learning Algorithms

Factors that influence technophobia in Chinese older patients with ischemic stroke: a cross-sectional survey.

BMC geriatrics Aug 19, 2025
BACKGROUND: Older patients with ischemic stroke often have a large number of medical needs, technophobia refers to the irrational anxiety and fear of digital technologies such as mobile communication equipment, artificial intelligence and robots, res... read more 
Aged, 80 and over Surveys and Questionnaires Cross-Sectional Studies Self Efficacy Phobic Disorders Male East Asian People China Health Literacy Middle Aged Fear Ischemic Stroke Female Social Support Humans Aged

Multimodal imaging deep learning model for predicting extraprostatic extension in prostate cancer using MpMRI and 18 F-PSMA-PET/CT.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 19, 2025
OBJECTIVE: This study aimed to construct a multimodal imaging deep learning (DL) model integrating mpMRI and F-PSMA-PET/CT for the prediction of extraprostatic extension (EPE) in prostate cancer, and to assess its effectiveness in enhancing the diagn... read more 
Multiparametric Magnetic Resonance Imaging Extranodal Extension Fluorine Radioisotopes Prostatectomy Humans Retrospective Studies Multimodal Imaging Positron Emission Tomography Computed Tomography Prostatic Neoplasms Radiopharmaceuticals Middle Aged Aged Deep Learning Male

What social stratifications in bias blind spot can tell us about implicit social bias in both LLMs and humans.

Scientific reports Aug 19, 2025
Large language models (LLMs) are the engines behind generative Artificial Intelligence (AI) applications, the most well-known being chatbots. As conversational agents, they-much like the humans on whose data they are trained-exhibit social bias. The ... read more 
Female Adult Artificial Intelligence Humans Language Social Perception Prejudice Male Bias
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