AI Medical Compendium

Evaluating acute image ordering for real-world patient cases via language model alignment with radiological guidelines.

Communications medicine Aug 4, 2025

BACKGROUND: Diagnostic imaging studies are increasingly important in the management of acutely presenting patients. However, ordering appropriate imaging studies in the emergency department is a challenging task with a high degree of variability amon... read more

A multimodal dataset for precision oncology in head and neck cancer.

Nature communications Aug 4, 2025

Head and neck cancer is a common disease and is associated with a poor prognosis. A promising approach to improving patient outcomes is personalized treatment, which uses information from a variety of modalities. However, only little progress has bee... read more

Humans Machine Learning Databases, Factual Precision Medicine Prognosis Female Aged Adult Male Middle Aged Head and Neck Neoplasms

Quantifying the Predictability of Lesion Growth and Its Contribution to Quantitative Resistance Using Field Phenomics.

Phytopathology Aug 4, 2025

Measuring individual components of pathogen reproduction is key to understanding mechanisms underlying rate-reducing quantitative resistance (QR). Simulation models predict that lesion expansion plays a key role in seasonal epidemics of foliar diseas... read more

Internet of things enabled deep learning monitoring system for realtime performance metrics and athlete feedback in college sports.

Scientific reports Aug 4, 2025

This study presents an Internet of Things (IoT)-enabled Deep Learning Monitoring (IoT-E-DLM) model for real-time Athletic Performance (AP) tracking and feedback in collegiate sports. The proposed work integrates advanced wearable sensor technologies ... read more

Humans Neural Networks, Computer Young Adult Feedback Male Deep Learning Wearable Electronic Devices Universities Athletic Performance Athletes Internet of Things Sports

Accurate and Rapid Ranking of Protein-Ligand Binding Affinities Using Density Matrix Fragmentation and Physics-Informed Machine Learning Dispersion Potentials.

Chemphyschem : a European journal of chemical physics and physical chemistry Aug 4, 2025

The generalized many-body expansion for building density matrices (GMBE-DM), truncated at the one-body level and combined with a purification scheme, is applied to rank protein-ligand binding affinities across two cyclin-dependent kinase 2 (CDK2) dat... read more

Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization.

Scientific reports Aug 4, 2025

Falling poses a significant health risk to the elderly, often resulting in severe injuries if not promptly addressed. As the global population increases, the frequency of falls increases along with the associated financial burden. Hence, early detect... read more

Humans Neural Networks, Computer Algorithms Aged Deep Learning Accidental Falls

Machine learning prediction of early reoperation following lower extremity tumor resection and endoprosthetic reconstruction: A PARITY trial secondary analysis.

Journal of orthopaedic surgery and research Aug 4, 2025

A technological convergence in hepatobiliary oncology: Evolving roles of smart surgical systems.

Bioscience trends Aug 4, 2025

Cancer remains a major threat to human health, with the incidence of hepatobiliary tumors consistently high. Treatment methods for hepatobiliary tumors include surgical intervention, ablation, embolization, and pharmacological treatments, with surger... read more

Diagnostic Performance of Imaging-Based Artificial Intelligence Models for Preoperative Detection of Cervical Lymph Node Metastasis in Clinically Node-Negative Papillary Thyroid Carcinoma: A Systematic Review and Meta-Analysis.

Head & neck Aug 4, 2025

PURPOSE: This systematic review and meta-analysis evaluated the performance of imaging-based artificial intelligence (AI) models in diagnosing preoperative cervical lymph node metastasis (LNM) in clinically node-negative (cN0) papillary thyroid carci... read more

Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

The Analyst Aug 4, 2025

Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for preventing the progression of diabetes to complications. In this study, gas chromatography-mass spectrometry (GC-MS) analysis and statistical methods wer... read more

Humans Machine Learning Biomarkers Female Aged Male Middle Aged Diabetes Mellitus, Type 2 Support Vector Machine Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Gases Breath Tests Exhalation Diabetes Complications Butadienes Hemiterpenes

Artificial Intelligence Medical Compendium