Artificial Intelligence Medical Compendium

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

Showing 5,131 to 5,140 of 174,202 articles

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 

Knowledge-GPT Guided Generalizable Reinforcement Learning for Intelligent Emergency Generator Tripping in Power System.

IEEE transactions on neural networks and learning systems Aug 19, 2025
Emergency control is essential for ensuring transient stability in power systems after faults. This study addresses the limitations in existing methods by proposing a knowledge-generative pretrained transformer (GPT)-guided generalizable reinforcemen... read more 

Estimation of state of health for lithium-ion batteries using advanced data-driven techniques.

Scientific reports Aug 19, 2025
Accurate estimation of the State of Health (SOH) is crucial for ensuring the performance, safety, and longevity of lithium-ion batteries in electric vehicles. Traditional methods, such as Coulomb Counting and the Extended Kalman Filter, often lack th... read more 

AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides.

Interdisciplinary sciences, computational life sciences Aug 19, 2025
Anti-inflammatory peptides (AIPs) have emerged as potential therapeutic candidates for managing various inflammatory disorders, but their computational identification remains challenging. We propose AIP-TranLAC, a novel deep learning framework that i... read more 

A deep learning model to predict glioma recurrence using integrated genomic and clinical data.

Communications medicine Aug 19, 2025
BACKGROUND: Gliomas account for approximately 25.5% of all primary brain and central nervous system (CNS) tumors and 80.8% of malignant brain and CNS tumors. The prognosis varies considerably; patients with low-grade gliomas (LGGs) have 5-year surviv... read more 

Emerging modalities for neuroprognostication in neonatal encephalopathy: harnessing the potential of artificial intelligence.

Pediatric research Aug 19, 2025
Neonatal Encephalopathy (NE) from presumed hypoxic-ischemic encephalopathy (pHIE) is a leading cause of morbidity and mortality in infants worldwide. Recent advancements in HIE research have introduced promising tools for improved screening of high-r... read more 

University english teaching evaluation using artificial intelligence and data mining technology.

Scientific reports Aug 19, 2025
This work intends to drive reform and innovation in English teaching evaluation and support personalized English instruction. It utilizes deep learning (DL) and artificial intelligence (AI)-driven data mining technology to explore a reliable and effi... read more 
Humans Artificial Intelligence Language Female Male Students Deep Learning Universities Bayes Theorem Data Mining Teaching

Machine Learning-Driven Dual-Recognition Magnetic Imprinted Polymers: Host-Guest/Aptamer Synergy Enabling Ultrasensitive Chloramphenicol Detection.

Analytical chemistry Aug 19, 2025
To address the challenges in detecting chloramphenicol (CAP) in complex food matrices, this study developed a magnetic solid-phase microextraction coupled with a high-performance liquid chromatography (MSPME-HPLC) system that integrates machine learn... read more 

A machine learning approach to predict self-efficacy in breast cancer survivors.

BMC medical informatics and decision making Aug 19, 2025
PURPOSE: To determine predictors of self-efficacy in breast cancer survivors and identify vulnerable groups. read more 
Humans Machine Learning Female Aged Adult Breast Neoplasms Middle Aged Self Efficacy Turkey Cancer Survivors

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs

arXiv Aug 19, 2025
Interactive medical questioning is essential in real-world clinical consultations, where physicians must actively gather information from patients. While medical Large Language Models (LLMs) have shown impressive capabilities in static medical ques... read more 
Computation and Language Artificial Intelligence
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