Artificial Intelligence Medical Compendium

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

Showing 51,241 to 51,250 of 225,182 articles

How threshold customisation affects the performance of a multiclass X-ray AI model for primary care triage: a retrospective study.

BMJ open
OBJECTIVES: To describe the structured process of threshold optimisation for a commercially available multiclass chest X-ray (CXR) deep learning model, to evaluate its diagnostic performance across different operating thresholds, and to estimate its ... read more 

Towards real time AI-augmented fluorescence-guided surgery: Evidence and translational readiness across neurosurgical, gynaecological, and thoracic oncology.

Surgical oncology
Fluorescence-guided surgery (FgS) is increasingly used across oncologic specialties to enhance intraoperative visualisation of tumour tissue and lymphatic drainage; however, its clinical impact remains limited by heterogeneous tracer uptake, variable... read more 

Multimodal brain-gut-sleep phenotypes predict delirium, long-term cognitive decline, and survival after colorectal cancer surgery.

Psychoneuroendocrinology
BACKGROUND: Neuroimmune, circadian, autonomic, and gut-brain processes jointly shape vulnerability to postoperative delirium and long-term cognitive decline, yet their integrated contribution remains unclear. METHODS: In this prospective cohort (n = ... read more 

Design and screening of single transition-metal atom anchored on G/BP heterostructure as NORR electrocatalysts: A DFT and machine learning study.

Journal of hazardous materials
Electrocatalytic NO reduction reaction (NORR) enables the conversion of hazardous NO gases into valuable NH₃ under ambient conditions. However, due to the slow reaction kinetics and low Faraday efficiency of NORR, it is essential to explore active an... read more 

A unified survey on drug-target interaction and binding affinity prediction: Models, representations, and challenges.

Biotechnology advances
Drug discovery is a complex and systematic process aimed at finding new treatment methods that can prevent or treat specific diseases. Accurately predicting the interaction and binding affinity between drugs and targets is one of the key steps in mod... read more 

Computational discovery and prioritization of ribose-5-phosphate isomerase A as a mitochondrial target for reversing senescence in mesenchymal stem cells.

International journal of biological macromolecules
Age-related osteoporosis is increasingly recognized as a disease of stem cell dysfunction, hallmarked by the skewed lineage commitment of mesenchymal stem cells (MSCs) away from osteogenesis towards adipogenesis. This functional decline is closely li... read more 

Research on the Application Value of Blood Plasma Autofluorescence Spectroscopy Model Constructed by Machine Learning Algorithms in Identifying the Types of Post-operative Kidney Transplantation Injury.

Photodiagnosis and photodynamic therapy
BACKGROUND: This study aimed to assess the value of blood plasma autofluorescence spectroscopy in classifying renal injury after renal transplantation. METHODS: The researchers included 86 patients after kidney transplantation and established five cl... read more 

Artificial intelligence-enhanced ECG score for perioperative risk assessment in non-cardiac surgery.

European heart journal. Digital health
AIMS: The role of electrocardiography (ECG) has been limited in the preoperative risk evaluation in noncardiac surgery due to its low prognostic value. We aimed to evaluate the utility of an AI-enabled ECG (QCG-Critical score) in predicting 30-day po... read more 

A linguistic comparison between human- and AI-generated content.

iScience
This study explores the linguistic differences between AI-generated content and human-written texts, particularly in Portuguese. We created two datasets: one with factual and false human-written texts, and another with texts generated by advanced, la... read more 

Toward practical screening of mortality risk: Insights from interpretable machine learning in NHANES.

International journal of cardiology. Cardiovascular risk and prevention
BACKGROUND: Efficient community-based screening for individuals at high risk of mortality is a major public health challenge. While many predictors have been proposed, there is limited consensus on which factors are both robust and practical for popu... read more