Hospital-Based Medicine

Risk Management

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

13,622 articles
Stay Ahead - Weekly Risk Management research updates
Subscribe
Browse Specialties
Showing 169-189 of 13,622 articles
Protocol for human evaluation of generative artificial intelligence chatbots in clinical consultations.

BACKGROUND: Generative artificial intelligence (GenAI) has the potential to revolutionise healthcare...

Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol.

INTRODUCTION: Methods to adopt artificial intelligence (AI) in healthcare clinical practice remain u...

Effectiveness of Chatbot interventions for reducing caregiver burden: Protocol for a systematic review and meta-analysis.

This protocol outlines a systematic review and meta-analysis examining the effectiveness of fully au...

Fast and Accurate Prediction of Tautomer Ratios in Aqueous Solution via a Siamese Neural Network.

Tautomerization plays a critical role in chemical and biological processes, influencing molecular st...

Comprehensive overview of artificial intelligence in surgery: a systematic review and perspectives.

The rapid integration of artificial intelligence (AI) into surgical practice necessitates a comprehe...

Toward a conceptual model to improve the user experience of a sustainable and secure intelligent transport system.

The rapid advancement of automotive technologies has spurred the development of innovative applicati...

Unveiling the power of R: a comprehensive perspective for laboratory medicine data analysis.

R language has gained traction in laboratory medicine for its statistical power and dynamic tools li...

Using statistical modelling and machine learning in detecting bone properties: A systematic review protocol.

INTRODUCTION: Osteoporosis, a common condition characterised by decreased bone mass and microarchite...

Online OCHEM multi-task model for solubility and lipophilicity prediction of platinum complexes.

Predicting the solubility and lipophilicity of platinum(II, IV) complexes is essential for prioritiz...

Quantitative analysis of ureteral jets with dynamic magnetic resonance imaging and a deep-learning approach.

OBJECTIVE: To develop dynamic MRU protocol that focuses on the bladder to capture ureteral jets and ...

Exploring Curriculum Considerations to Prepare Future Radiographers for an AI-Assisted Health Care Environment: Protocol for Scoping Review.

BACKGROUND: The use of artificial intelligence (AI) technologies in radiography practice is increasi...

Impact of [F]FDG PET/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role.

Lung cancer remains one of the most prevalent cancers globally and the leading cause of cancer-relat...

Real-time monitoring to predict depressive symptoms: study protocol.

INTRODUCTION: According to the World Health Organization, Depression is the fourth leading cause of ...

Assessment of PTSD in military personnel via machine learning based on physiological habituation in a virtual immersive environment.

Posttraumatic stress disorder (PTSD) is a complex mental health condition triggered by exposure to t...

Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol.

BACKGROUND: Mild acute biliary pancreatitis (MABP) presents significant clinical and economic challe...

Rehabilitation of a Terminal Dentition Patient Using an Immediate Loading Protocol With a Virtual Patient-Assisted Workflow: A Case Report.

OBJECTIVES: To demonstrate the implementation of a digital workflow for the rehabilitation of a term...

The need for balancing 'black box' systems and explainable artificial intelligence: A necessary implementation in radiology.

Radiology is one of the medical specialties most significantly impacted by Artificial Intelligence (...

Compact Assessment of Molecular Surface Complementarities Enhances Neural Network-Aided Prediction of Key Binding Residues.

Predicting interactions between proteins is fundamental for understanding the mechanisms underlying ...

Browse Specialties