Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

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Evaluating medical AI systems in dermatology under uncertain ground truth.

For safety, medical AI systems undergo thorough evaluations before deployment, validating their pred...

Artificial Intelligence in Dentistry: A Narrative Review of Diagnostic and Therapeutic Applications.

Advancements in digital and precision medicine have fostered the rapid development of artificial int...

Chinese generative AI models (DeepSeek and Qwen) rival ChatGPT-4 in ophthalmology queries with excellent performance in Arabic and English.

The rapid evolution of generative artificial intelligence (genAI) has ushered in a new era of digita...

Evaluation of correctness and reliability of GPT, Bard, and Bing chatbots' responses in basic life support scenarios.

Timely recognition and initiation of basic life support (BLS) before emergency medical services arri...

High-Precision Determination of Os/Os and Os/Os Isotope Ratios via an Antimony Fire Assay and Multi-collector ICP-MS.

The Pt-Os and Re-Os isotopic systems are powerful tools for researching the evolution of the Earth a...

The AI-enhanced surgeon - integrating black-box artificial intelligence in the operating room.

New artificial intelligence (AI)/machine learning (ML) technology offers great potential to assist s...

DICTrank Is a Reliable Dataset for Cardiotoxicity Prediction Using Machine Learning Methods.

Drug-induced cardiotoxicity (DICT) is a significant challenge in drug development and public health....

Remote monitoring of Tai Chi balance training interventions in older adults using wearable sensors and machine learning.

Tai Chi, an Asian martial art, is renowned for its health benefits, particularly in promoting health...

Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms.

INTRODUCTION: Accurate and timely discharge from the Post-Anesthesia Care Unit (PACU) is essential t...

Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol for a Predictive Modeling Study.

BACKGROUND: While cognitive behavioral therapy has shown efficacy in treating stress-related disorde...

Machine Learning-Based VO Estimation Using a Wearable Multiwavelength Photoplethysmography Device.

The rate of oxygen consumption, which is measured as the volume of oxygen consumed per mass per minu...

Role of artificial intelligence-powered conversational agents (chatbots) in musculoskeletal disorders: a scoping review protocol.

INTRODUCTION: Musculoskeletal disorders (MSDs) represent a significant global health burden that lea...

AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines.

BACKGROUND: Soft-tissue and bone tumours (STBT) are rare, diagnostically challenging lesions with va...

Novel protocol for metabolomics data normalization and biomarker discovery in human tears.

OBJECTIVES: Human tear analysis holds promise for biomarker discovery, but its clinical utility is h...

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