Prevention of medical errors

Quantum-resistant hybrid encryption framework for secure and intelligent Vehicle-to-Vehicle communication using deep representation learning models.

Vehicular communications are applied in different security and business applications in the digital world for the user's advantage. During this, vehicle-to-vehicle (V2V) communication allows clients to exchange necessary information with neighbouring vehicles directly. Generally, vehicles move quickly on the highway instead of the crossing road environment, and therefore, a strong method is needed...

Prevalence and determinants of sacroiliac joint bone marrow oedema in the general population in Germany: a population-based cross-sectional study.

BACKGROUND: MRI-detected bone marrow oedema in sacroiliac joints is central to diagnosing axial spondyloarthritis, influencing treatment decisions including anti-inflammatory therapy initiation. However, the prevalence of bone marrow oedema in the general population remains unknown, restricting interpretation of MRI findings and potentially leading to overdiagnosis when imaging findings are consid...

Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study.

BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) presentation but can be challenging to diagnose; both overdiagnosis an...

Global Trends in Postoperative Sepsis After Pancreatoduodenectomy: A Bibliometric Analysis.

INTRODUCTION: Postoperative sepsis after pancreatoduodenectomy (PSPD) remains a major determinant of morbidity and mortality. Although extensive clini...

Which AI doctor would you like to see? Emulating healthcare provider-patient communication models with GPT-4: proof-of-concept and ethical exploration.

Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider-patient communication. ...

Predicting Protracted Recovery and Long-Term Loss of Independence after Major Surgery in Veterans.

IMPORTANCE: Surgery often has lasting impacts on quality of life, which requires outcome measurement beyond 30 days. Even when long-term outcomes are ...

An epidemiological study of Parkinson's disease in Chinese older adults using the Global Burden of Disease and China Health and Retirement Longitudinal Study databases.

INTRODUCTION: The prevalence of Parkinson's disease (PD) has increased globally, especially in China, and emerged as a critical public health challeng...

A Costly Misdiagnosis: Reframing AI as Augmented Intelligence in Medicine and Medical Publishing.

Feasibility and Acceptability of a Prevention-Focused Screener for Perinatal Depression Risk: Mixed Methods Cohort Study.

BACKGROUND: More than 20% of perinatal women experience depression, with suicide being a leading cause of maternal death in the United States. Profess...

Cybersecurity in Healthcare: A Systematic Review and Narrative Analysis.

BACKGROUND: Cybersecurity attacks in healthcare have increased in number and severity over the last decade. Healthcare targets are ten times more valu...

Evaluating the clinical safety of large language models in oral cancer-related patient communication: a repeated-prompt observational study.

BACKGROUND: As patients increasingly consult large language models (LLMs) for health-related information, evaluating the clinical safety of AI-generat...

EPPCMinerBen: A novel benchmark for evaluating large language models on electronic patient-provider communication via the patient portal.

Effective communication in health care is critical for treatment outcomes and adherence. With patient-provider exchanges shifting to secure messaging,...

Getting ahead of sudden cardiac arrest in pediatric hypertrophic cardiomyopathy patients.

INTRODUCTION: Sudden cardiac arrest (SCA) remains one of the most devastating complications of pediatric hypertrophic cardiomyopathy (HCM). Despite ma...

The role of AI in prostate cancer care: Assessing the role of chatbots versus urologists in patient communication and empathy.

OBJECTIVE: To date, the integration of artificial intelligence (AI) in healthcare has expanded rapidly, offering new tools for patient education and c...

Investigating the Implementation and Impact of AI-Assisted Fall Prevention in Hospitals: Protocol for a Multicenter, Multimethod Observational Study in Sweden (SAFE).

BACKGROUND: Artificial intelligence (AI) has the potential to enhance patient safety, particularly in the prevention of in-hospital falls. Recent adva...

Understanding how language barriers in the paediatric emergency care setting influences safety of care delivery: a scoping review.

BACKGROUND: Communication in a family's primary language can support safe care. Vital steps within the care delivery process are contingent on success...

Adaptive homomorphic federated learning framework for multi-institutional medical imaging with optimized diagnostic accuracy.

The growing use of artificial intelligence (AI) in medicine has highlighted the imperative for privacy-preserving and high-accuracy diagnostic systems...

AI-driven integration of genomic and exposome data for cancer risk: the combined risk score (CRS).

Polygenic risk scores (PRS) have emerged as important tools for quantifying inherited susceptibility to cancer, and are increasingly combined with env...

Integrating human and nonhuman intelligence to reduce tobacco's public-health burden.

PURPOSE OF REVIEW: Tobacco use remains the leading preventable cause of death worldwide, while the rise of electronic nicotine products has sparked a ...

Developing and Integrating Virtual Reality Courses in Medical Education: Tutorial and Implementation Guideline Informed by Best Practices From the National Project "medical tr.AI.ning".

The increasing adoption of virtual reality (VR) in medical education offers substantial opportunities for immersive, practice-oriented training that c...