Artificial Intelligence Medical Compendium

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

Showing 1,941 to 1,950 of 165,462 articles

A scoping review of artificial intelligence applications in clinical trial risk assessment.

NPJ digital medicine
Artificial intelligence (AI) is increasingly applied to clinical trial risk assessment, aiming to improve safety and efficiency. This scoping review analyzed 142 studies published between 2013 and 2024, focusing on safety (n = 55), efficacy (n = 46),... read more 

Classification of Brain Tumors in MRI Images with Brain-CNXSAMNet: Integrating Hybrid ConvNeXt and Spatial Attention Module Networks.

Interdisciplinary sciences, computational life sciences
Brain tumors (BT) can cause fatal outcomes by affecting body functions, making precise early detection via magnetic resonance imaging (MRI) examinations critical. The complex variations found in cells of BT may pose challenges in identifying the type... read more 

Economic evaluation of a robotic chemotherapy compounding system and its service expansion to network hospital in Thailand.

BMC health services research
BACKGROUND: Robotic systems for chemotherapy preparation offer improved accuracy and staff safety but require substantial capital investment. This study assessed the economic performance of a domestically developed robotic chemotherapy compounding sy... read more 

HLAIIPred: cross-attention mechanism for modeling the interaction of HLA class II molecules with peptides.

Communications biology
We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukocyte antigens (HLAII) on the surface of antigen presenting cells. HLAIIPred is trained using a Transformer-based neural network and a dataset comprisin... read more 

Deep learning molecular interaction motifs from receptor structures alone.

Journal of cheminformatics
Interactions of proteins with other molecules are often mediated by a set of critical binding motifs on their surfaces. Most traditional binder designs relied on motifs borrowed from known binder molecules, which highly restricted their applicability... read more 

ProWaste for proactive urban waste management using IoT and machine learning.

Scientific reports
Urban waste-collection centres (WCCs) routinely overflow because maintenance routes are scheduled reactively rather than on data-driven forecasts. Overspill, odour, and leachate therefore threaten public health and sustainability targets in rapidly g... read more 

Re: Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
read more 

Role of Artificial Intelligence in Surgical Training by Assessing GPT-4 and GPT-4o on the Japan Surgical Board Examination With Text-Only and Image-Accompanied Questions: Performance Evaluation Study.

JMIR medical education
BACKGROUND: Artificial intelligence and large language models (LLMs)-particularly GPT-4 and GPT-4o-have demonstrated high correct-answer rates in medical examinations. GPT-4o has enhanced diagnostic capabilities, advanced image processing, and update... read more 

Gut microbiome in gastrointestinal neoplasms: from mechanisms to precision therapeutic strategies.

Gut pathogens
BACKGROUND: The incidence of Gastrointestinal Neoplasms (GI neoplasms) continues to increase globally. Colorectal cancer (CRC), in particular, has emerged as the second leading cause of cancer-related mortality worldwide. Now, Specific pathogenic bac... read more 

A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Scientific reports
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi... read more