Artificial Intelligence Medical Compendium

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

Showing 65,291 to 65,300 of 231,904 articles

Application and validation of AI-driven methods to explore patient experiences of pre-cervical cancer.

European journal of obstetrics, gynecology, and reproductive biology Jan 10, 2026
OBJECTIVE: We sought to apply novel natural language processing (NLP) tools to explore patient experiences of pre-cervical cancer on social media and validate the performance of these tools. METHODS: All posts and comments were extracted from the for... read more 

Multi-scale heart simulation augments the explainability of artificial intelligence-enabled electrocardiogram through provision of an electrocardiogram database labelled with cellular pathologies.

Computer methods and programs in biomedicine Jan 10, 2026
BACKGROUND AND OBJECTIVES: Although artificial-intelligence-enhanced electrocardiograms (AI-ECGs) offer prediction and diagnosis capabilities superior to those of humans, they exhibit poor explainability and interpretability because of their complex-... read more 

An old disease, a new linguistic challenge for large language models: patient education on psoriasis and psoriatic arthritis in an underrepresented medical language.

International journal of medical informatics Jan 10, 2026
OBJECTIVE: Large Language Models (LLMs) are increasingly applied to patient education, yet their performance in languages that are relatively underrepresented in medical-domain corpora and large language model training datasets remains underexplored.... read more 

Automated extraction of fluoropyrimidine treatment and treatment-related toxicities from clinical notes using natural language processing.

International journal of medical informatics Jan 10, 2026
OBJECTIVE: Fluoropyrimidines are widely prescribed for colorectal and breast cancers, but are associated with toxicities such as hand-foot syndrome and cardiotoxicity. Since toxicity documentation is often embedded in clinical notes, we aimed to deve... read more 

The answer lies within: Detecting Trojans from DNNs' inherent characteristics.

Neural networks : the official journal of the International Neural Network Society Jan 10, 2026
Deep neural networks (DNNs) are vulnerable to Trojan attacks, where adversaries implant Trojans that cause DNNs to misbehave when encountering specific triggers. Detecting Trojans in DNNs is crucial to mitigate potential safety risks. Traditional met... read more 

Unlocking 2D/3D+T myocardial mechanics from cine MRI: a mechanically regularized space-time finite element correlation framework.

Medical image analysis Jan 10, 2026
Accurate and biomechanically consistent quantification of cardiac motion remains a major challenge in cine MRI analysis. While classical feature-tracking and recent deep learning methods have improved frame-wise strain estimation, they often lack bio... read more 

A causal bidirectional selective state space model for imaging genetics in neurodegenerative diseases.

Neural networks : the official journal of the International Neural Network Society Jan 10, 2026
Brain imaging genetics aims to uncover the pathological mechanisms and improve the diagnosis of brain diseases, particularly neurodegenerative disorders. While deep learning has advanced feature extraction and association modeling in this field, ther... read more 

DH-MSVM: A hybrid algorithm for seeking quality support vectors in distributed learning.

Neural networks : the official journal of the International Neural Network Society Jan 10, 2026
Data heterogeneity is a common yet complex challenge in distributed machine learning scenarios. However, current Distributed Support Vector Machines (DSVMs) lack effective mechanisms to identify suitable support vectors across diverse data structures... read more 

Implicit neural network-based coal SEM super-resolution for enhancing micro-pores measurement tasks.

Neural networks : the official journal of the International Neural Network Society Jan 10, 2026
Prolonged radiation exposure in coal Scanning Electron Microscopy (SEM) poses structural damage risks to specimens during high-resolution observation. To mitigate this situation, we propose an interactive-interpretable super-resolution (SR) framework... read more 

Design of an AI-assisted autonomous orchard sprayer with dual spraying mechanisms.

Pest management science Jan 10, 2026
BACKGROUND: This study presents the design, development, and field evaluation of Vabot, an artificial intelligence (AI)-powered, fully electric autonomous agricultural ground vehicle intended for accurate pesticide application in orchard settings. Th... read more 
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