Artificial Intelligence Medical Compendium

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

Showing 23,071 to 23,080 of 216,842 articles

Use of Large Language Models by U.S. Adults to Support Exercise: A Survey Study

medRxiv May 3, 2026
Background: Large Language Model (LLM) chatbots are increasingly used for exercise and fitness topics, yet users' experience with these tools remains understudied. Methods: This study is a national survey of U.S. adults who have used an LLM chatbot f... read more 
public and global health

Knowledge Inclusive Machine Learning for Disease Gene Prioritisation

bioRxiv May 2, 2026
The predictive performance of machine learning models depends on the context available to them. In disease gene prioritisation, this context comprises two forms: specific context from sample-level experimental data, such as gene expression and protei... read more 
genetics

NeuroCDS: Integrating Local and Global Neural Network Representations via Structural Constrained Viterbi Decoding for Robust CDS Annotation

bioRxiv May 2, 2026
Motivation: Robust annotation of Coding Sequences (CDS) is critical for downstream transcriptomics, yet heavily fragmented de novo RNA-Seq assemblies pose a severe challenge. Traditional computational tools rely on fixed, hand-crafted features that a... read more 
bioinformatics

A Tissue Microenvironment Analogous to Certain Tumor Microenvironments Facilitates HIV Persistence

bioRxiv May 2, 2026
The HIV reservoir that establishes early upon infection and persists in tissues remains the primary barrier to a functional cure. While progress has been made to study the reservoir in blood compartments and specific cell types, knowledge gaps remain... read more 
microbiology

Secured framework for IoT based healthcare application.

Scientific reports May 2, 2026
The Internet of Things (IoT) allows continuous health monitoring through the interconnection of wearable and medical devices with computing and storage infrastructures. As cyber threats grow and the sensitivity of healthcare information increases, da... read more 

Hybrid reverse knowledge distillation for adversarial example detection.

Scientific reports May 2, 2026
Deep neural networks have achieved remarkable success in various computer vision tasks, yet they remain vulnerable to adversarial examples-carefully crafted perturbations that are imperceptible to humans but cause misclassification. Detecting such ad... read more 

AI detection in italian essays through different text representations and adversarial robustness evaluation.

Scientific reports May 2, 2026
This study investigates the effectiveness of various text representation methods in distinguishing between AI-generated and human-written content, using a corpus of 1000 Italian essays. Four techniques were employed for text representation: Text Feat... read more 

Metaheuristic-enhanced deep learning for monthly pan evaporation prediction under limited climatic data.

Scientific reports May 2, 2026
This study introduces two recently developed bio-inspired metaheuristic algorithms, Artificial Protozoa Optimizer (APO, 2024) and Dung Beetle Optimizer (DBO, 2023), into long short-term memory (LSTM) networks for monthly pan evaporation prediction un... read more 

A synthetic dataset for time series super-resolution with deep learning.

Scientific data May 2, 2026
The increasing application of time-series analysis in fields like biomedical engineering or telecommunications emphasizes the need for high-quality data to train and evaluate advanced machine learning models. Acquiring temporal data at suitable resol... read more 

Breast ultrasound images for segmentation and classification using multi-task U-Net.

Scientific reports May 2, 2026
Breast ultrasound imaging is widely used for the early detection of breast cancer due to its accessibility and effectiveness, particularly in dense breast tissues. However, its diagnostic performance is often affected by operator dependency, speckle ... read more 
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