Artificial Intelligence Medical Compendium

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

Showing 29,471 to 29,480 of 219,931 articles

Deep Learning-Aided SERS Detection of Microplastics in Water Samples with a Hierarchically Porous Gold Sponge Substrate.

Analytical chemistry
The pervasive occurrence of microplastics (MPs) in aquatic environments presents growing challenges for environmental monitoring. Conventional MP detection methods often require extensive pretreatment and struggle to differentiate mixed polymer compo... read more 

Developing and Benchmarking Sage 2.3.0 with the AshGC Neural Network Charge Model.

Journal of chemical theory and computation
Partial atomic charges are a fundamental component underlying classical molecular simulations, but assigning charges remains a computational bottleneck; many common methods rely on quantum mechanical calculations that scale poorly with molecular size... read more 

Integrating multi-encoding sequence features via stacking ensemble learning for RNA m5C site prediction.

Nucleosides, nucleotides & nucleic acids
RNA 5-methylcytosine (m5C) is an important epitranscriptomic modification involved in RNA stability, translation, and post-transcriptional regulation. Accurate identification of m5C sites remains challenging due to limited sequence representation and... read more 

Visit-to-visit systolic blood pressure variability and risk of severe hypertensive episodes in a multicenter cohort.

American journal of hypertension
BACKGROUND: Visit-to-visit blood pressure variability has been associated with cardiovascular outcomes; however, its role in predicting severe blood pressure (BP) elevation requiring emergency department care remains uncertain. We investigated whethe... read more 

Development and Validation of a Machine Learning Model for Predicting Postoperative Delirium in Elderly Patients with Hip Fracture: A Retrospective Cohort Study.

Acta orthopaedica Belgica
Postoperative delirium (POD) is a common and serious complication in elderly hip fracture patients, including those undergoing surgery for femoral neck fractures and intertrochanteric fractures, and is associated with poor clinical outcomes. Early id... read more 

Agreement Between AI Language Models and BOOM Chondrosarcoma Consensus Statements: A Comparative Study.

Acta orthopaedica Belgica
Artificial intelligence (AI) is an exciting development makes life easier and solves many problems in daily life. The Birmingham Orthopaedic Oncology Meeting (BOOM) met in January 2024 with 309 participants from 53 countries to discuss the optimal co... read more 

Prediction of Sustentaculum Tali Sustentacular Screw Length based on Linear Regression Model.

Acta orthopaedica Belgica
Calcaneal fractures present challenges due to the complex anatomy and difficulty in achieving precise screw placement. Traditional methods often rely on empirical screw insertion, leading to complications like joint penetration or nerve damage. We se... read more 

Proceedings From the Minnesota Learning Health Systems Symposium: The Role of Academic Partnership and (De)Implementation Science.

Mayo Clinic proceedings
Nearly 25 years ago, the Institute of Medicine (now the National Academy of Medicine), envisioned the concepts of a learning health system (LHS) as a path to reduce the discordance between scientifically demonstrable effectiveness of medicine and act... read more 

Artificial Intelligence for Public Health Surveillance: Promise, Inequities, and the Need for Transparent Global Adoption.

Annals of African medicine
Artificial intelligence (AI) has demonstrated a strong technical potential to enhance public health surveillance, but routine implementation remains limited. Most AI surveillance systems are developed in high-income settings, reducing generalizabilit... read more 

AI Chatbots vs. Traditional Sources: Dental Health Literacy and Confidence Among Dental Patients-A Cross-Sectional Study.

International dental journal
BACKGROUND AND OBJECTIVES: Given the increasing use of artificial intelligence (AI) tools for dental health information, this study compared patients' perceived health information literacy for AI chatbots, measured using the Artificial Intelligence-e... read more