Artificial Intelligence Medical Compendium

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

Showing 62,321 to 62,330 of 230,507 articles

Mapping Antibiotic Photocatalytic Transformation and Resistance Risks with a DFT-Informed Machine Learning Workflow.

Angewandte Chemie (International ed. in English)
The photocatalytic degradation of antibiotics is effective but may yield transformation products (TPs) that sustain or amplify ecological risks, including antibiotic resistance gene (ARG) induction. This study developed a predictive framework that co... read more 

Artificial Intelligence-Powered Prediction of Microplastic-Pollutant Adsorption Coefficients Enables Scalable Risk Prioritization in Aquatic Environments.

Environmental science & technology
Microplastics (MPs), prevalent in water bodies, soil, and the atmosphere, pose significant risks to environmental and ecological health. By adsorbing hazardous compounds, such as organic pollutants, MPs can alter the transport and fate of these pollu... read more 

A scoping literature review of artificial intelligence integration in higher education for enhanced teaching, learning, and assessment.

Panminerva medica
INTRODUCTION: This review explores the global integration of Artificial Intelligence (AI) in higher education, examining its impact on teaching, learning, and assessment, while addressing implementation challenges, ethical concerns, and opportunities... read more 

Iron Oxide-Based Surface-Enhanced Raman Spectroscopy Bioprobes for Detecting Tumor Cells in Serous Effusion.

Analytical chemistry
Serous effusions, including pleural effusion and ascites, commonly occur in advanced cancers like lung and ovarian carcinomas. Detecting tumor cells in these effusions is crucial for assessing cancer metastasis. However, clinical methods mainly inclu... read more 

A machine learning model to predict the severity of road traffic injury based on aberrant driving behaviors and driver characteristics.

Traffic injury prevention
OBJECTIVES: Road traffic injuries remain a leading cause of mortality and disability worldwide, especially in low- and middle-income countries. This study aimed to develop and validate a machine-learning model to predict road traffic injury severity,... read more 

Electrical Conductivity Differences between Experiments and Classical Simulations Reveal Self-Diffusion Coefficients and Ion Lifetimes of Hydroxide and Hydronium in Aqueous Solutions.

The journal of physical chemistry. B
Grotthuss transfer is responsible for a large increase in the self-diffusion of hydroxide and hydronium ions in aqueous solutions compared to similarly sized ions. Recent advances in machine-learning molecular dynamics have shown some success in capt... read more 

Interpretable Artificial Intelligence in Assisting Treatment Response Prediction for Locally Advanced Rectal Cancer After Neoadjuvant Chemoradiotherapy: A Prospective, Multicenter, Human-Model Interaction Study.

International journal of radiation oncology, biology, physics
PURPOSE: Preoperative assessment of pathologic complete response (pCR) to neoadjuvant therapy is an urgent need for anorectal preservation in patients with locally advanced rectal cancer (LARC). Artificial intelligence assistance remains challenging ... read more 

Noise in the diagnosis of epilepsy by experts.

Epileptic disorders : international epilepsy journal with videotape
OBJECTIVE: To measure the relative levels of signal and noise in expert diagnosis of epilepsy. METHODS: Twenty multinational epileptologists independently reviewed 50 vignettes of adult and pediatric patients presenting with suspected seizure(s) on t... read more 

Digital Ecosystems, Children, and Adolescents: Technical Report.

Pediatrics
The digital ecosystem now comprises immersive technologies, including but not limited to the internet, algorithms, artificial intelligence, social media, apps, video games, TV, interactive agents, tablets, wearable technology, and mobile devices. In ... read more