Artificial Intelligence Medical Compendium

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

Showing 61,821 to 61,830 of 230,319 articles

Diagnostic Accuracy of Deep Learning Models in Detecting Peri-Implant Marginal Bone Loss: A Systematic Review and Meta-Analysis.

Clinical oral implants research
BACKGROUND: Peri-implantitis is a common implant complication requiring early detection to prevent bone loss and implant failure. Deep learning models show promise for enhancing radiographic diagnosis. OBJECTIVES: This review systematically evaluated... read more 

CompBind: Complex Guided Pretraining-Based Structure-Free Protein-Ligand Affinity Prediction.

Journal of chemical information and modeling
Accurate prediction of protein-ligand binding affinity is essential in drug discovery. However, the limited availability and high cost of experimentally resolved protein-ligand complex structures significantly hinder the generalizability and broad ap... read more 

PTET-DDI: Dual-Channel Drug-Drug Interaction Prediction with a Pre-Trained Language Model and Equivariant Graph Transformer.

ACS synthetic biology
Combination therapy is widely used in clinical practice, rendering accurate prediction of drug-drug interactions (DDIs) essential for treatment safety and efficacy. This paper proposes PTET-DDI, a novel dual-channel framework that synergizes chemical... read more 

Development of a Deep Learning Algorithm for Posterior Fossa Abnormality Recognition on First-Trimester US Screening Scans: AIRFRAME Study Part 1.

Radiology. Artificial intelligence
Purpose To develop a deep learning algorithm to automatically assess the posterior fossa on first-trimester US screening scans and identify open spina bifida (OSB) and cystic posterior fossa (CPF) anomalies. Materials and Methods This is the retrospe... read more 

Next-generation cancer therapies: translating experimental advances into clinical practice.

Postgraduate medical journal
Recent advancements in cancer therapy have led to the emergence of innovative approaches that offer new hope to patients. This review provides a comprehensive overview of the latest cutting-edge technologies and strategies in cancer treatment, includ... read more 

A Smartphone-Read, Machine Learning-Enhanced Lanthanide Hydrogel Sensor for Multimodal and On-Site Detection of Kanamycin in Food Safety.

Analytical chemistry
Residual kanamycin from veterinary use poses a persistent threat to environmental safety and public health, as its accumulation in water systems and animal-derived foods can foster antibiotic resistance and induce toxic effects. To address the urgent... read more 

Is ChatGPT a reliable informant? Dermatologists review AI-generated answers to frequently asked questions about melanoma.

Dermatology reports
Dear Editor, In recent years, many individuals have turned to the Internet for health-related information, a phenomenon commonly referred to as "Dr. Google". While accessible, this practice often exposes users to unverified content, potentially leadi... read more 

Real-Time Characterization of Colonic Polyps: A Multicenter Prospective Study Evaluating the CAD-EYE System in Screening Colonoscopies.

Clinical and translational gastroenterology
BACKGROUND AND STUDY AIMS: Polypectomy-related costs could potentially be reduced through optical diagnosis strategies, such as 'diagnose-and-leave' and 'resect-and-discard.' Artificial intelligence, using computer-aided diagnosis (CAD), may provide ... read more 

Strategic Screening of Dopants for Na0.67Ni0.33Mn0.67O2 Cathodes: A Computational Roadmap for Sodium-Ion Battery Innovation.

Small (Weinheim an der Bergstrasse, Germany)
P2-type cobalt-free Na0.67Ni0.33Mn0.67O2 (NNMO) compound has attracted significant attention as a cathode material for sodium-ion batteries, due to its relatively high energy density. Recent experimental investigations on doped NNMO cathodes have dem... read more