Artificial Intelligence Medical Compendium

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

Showing 65,761 to 65,770 of 232,257 articles

Latest research

Protein Solubility Prediction Using Fused Graph Convolutional Networks and Improved Attention Networks with AlphaFold3-Derived Features.

Journal of chemical information and modeling
Research on protein solubility holds critical significance in industrial production, biopharmaceuticals, and the food industry. While numerous studies have focused on predicting protein solubility in recent years, existing models often rely solely on... read more 

Rapid Point-of-Care Inflammatory Cytokine Monitoring during Normothermic Liver Perfusion via a Multiplexed Paper-Based Vertical Flow Assay.

ACS sensors
The advent of normothermic machine perfusion (NMP) has substantially enhanced liver transplantation outcomes by enabling physiologic preservation and functional assessment of donor grafts. However, despite the well-established role of donor-derived i... read more 

Multicenter Evaluation of an Artificial Intelligence System for Automatic Recognition of Fetal Ultrasound Findings Suggestive of Congenital Malformations.

Obstetrics and gynecology
OBJECTIVE: To evaluate the diagnostic performance of an artificial intelligence (AI) system for detecting eight abnormal fetal ultrasound findings across cephalic, thoracic, and abdominal regions in routine, unfiltered, multicenter images. METHODS: W... read more 

Supervised Machine Learning and Graph Neural Networks to Predict Collision Cross-Section Values of Aquatic Dissolved Organic Compounds.

Journal of the American Society for Mass Spectrometry
Accurate prediction of Collision Cross-Section (CCS) values is essential for identifying molecular structures in complex environmental mixtures. This study integrates supervised machine learning and deep learning to predict CCS values for a diverse a... read more 

UltraMN: Advancing Real-Time Median Nerve Ultrasound Monitoring With a Multitask Deep Learning Framework.

Ultrasound in medicine & biology
OBJECTIVE: This study aims to develop an advanced deep learning framework to overcome the challenges associated with real-time ultrasound monitoring of the median nerve. METHOD: We propose UltraMN, a novel multitask learning model integrating standar... read more 

Guidelines needed for the use of AI in the preparation or review of IRB, IBC, and IACUC applications.

Accountability in research
Three oversight bodies review research proposals to help ensure the safe and responsible conduct of biomedical research, each focusing on unique aspects of research ethics: institutional review boards (IRBs), institutional biosafety committees (IBCs)... read more 

Automatic measurement and evaluation of anterior segment anatomical structures via UBM images using a deep learning-based approach.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
PURPOSE: To develop a deep-learning model capable of measuring essential anterior segment (AS) parameters derived from preoperative ultrasound biomicroscopy (UBM) images of candidates for implantable collamer lens (ICL) surgery. SETTING: Tianjin Medi... read more 

Uncovering the potential of pathomics: prognostic prediction and mechanistic investigation of pancreatic cancer.

The Journal of pathology
A machine learning-based pathomics model was investigated for its value and biological significance in predicting overall survival (OS) after surgery in pancreatic cancer patients. Data from 173 patients with pancreatic ductal adenocarcinoma (PDAC) w... read more 

Programmable Triboelectric Origami Sensors for Multidimensional Pressure Monitoring.

Nano letters
Sensors with multidimensional pressure sensing capabilities have attracted extensive interest for applications in wearable electronics and human-computer interaction. However, conventional film-based materials struggle to achieve directional stress p... read more 

Haplotype-resolved genome reveals allele-aware epigenetic and 3D chromatin regulation of heterosis in the tea hybrid.

The New phytologist
Heterosis, widely used in plant breeding to enhance yield and quality, is not yet fully understood at the allelic level, particularly in woody plants such as Camellia sinensis, the tea plant. In this study, the first haplotype (HA)-resolved genome of... read more