Risk Management

Health Insurance Portability and Accountability Act Liability in the Age of Generative Artificial Intelligence.

As artificial intelligence tools become increasingly integrated into emergency department workflows, healthcare providers face a growing risk of legal liability stemming from improper use, particularly with respect to data privacy and Health Insurance Portability and Accountability Act (HIPAA) compliance. This article explores a realistic clinical scenario in which an emergency physician inadverte...

The application of artificial intelligence in blind ultrasound sweep diagnostics for prenatal medicine: A systematic literature review.

INTRODUCTION: Obstetric ultrasound is fundamental in prenatal care for gestational age (GA) estimation, fetal monitoring, and complication screening. However, access to quality ultrasound is limited in many low- and middle-income countries (LMICs), where nearly half of pregnant women receive no scans during pregnancy. Even in high-income countries, disparities in care persist. Recently, artificial...

Deep Learning-Based Classification of Slit-Lamp Photograph Quality in Microbial Keratitis.

OBJECTIVE: Microbial keratitis (MK) is one of the leading causes of blindness in low- and middle-income countries that often requires timely diagnosis...

Machine learning using entropy-based texture features from MRI to differentiate histological subtypes of non-small cell lung cancer identified as metabolically active on PET/MRI.

Texture analysis is a foundational approach in imaging studies and demonstrates excellent diagnostic performance, with radiomic analysis being the mos...

Artificial intelligence in emergency medicine: a narrative review.

INTRODUCTION: Artificial intelligence (AI) is increasingly embedded in healthcare, with expanding applications in emergency medicine (EM). OBJECTIVE: ...

An Artificial Intelligence-Guided Strategy to Reduce Poor Bowel Preparation: A Multicenter Randomized Controlled Study.

OBJECTIVES: Proper bowel preparation is crucial for increasing the adenoma detection rate. A novel application based on the use of a convolutional neu...

Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review.

BACKGROUND: Artificial intelligence (AI)-powered analysis of electrocardiograms (ECGs) is reshaping cardiac diagnostics, offering faster and often mor...

Improved visualization of pancreas and tumor boundaries using high-frequency kernels with deep-learning image reconstruction at high-strength level.

PURPOSE: This study aimed to investigate the feasibility of combining high-frequency reconstruction kernels and deep-learning image reconstruction at ...

Attenuation-based ultra-low-dose lung computed tomography at 0.1 mSv to 0.3 mSv effective dose in children.

BACKGROUND: Radiation dose reduction is essential in paediatric lung computed tomography (CT). Advances in energy-integrating detector CT and deep-lea...

A comprehensive biomechanical phenotyping framework for diabetic foot ulcer risk stratification using multi-modal gait analysis and machine learning.

BACKGROUND: Current diabetic foot ulcer risk assessment methods lack precision in identifying high-risk biomechanical phenotypes. This study aimed to ...

Navigating the artificial intelligence (AI) revolution in radiology: a practical guide to medical-legal and ethical imperatives for the practising radiologist.

Artificial intelligence (AI) is now routinely integrated into radiology workflows, including worklist prioritisation, image interpretation, quantifica...

How to Evaluate the Accuracy of Symptom Checkers and Diagnostic Decision Support Systems: Symptom Checker Accuracy Reporting Framework (SCARF).

Symptom checkers are apps and websites that assist medical laypeople in diagnosing their symptoms and determining which course of action to take. When...

Artificial intelligence performance in maxillary canine impaction: a systematic review.

OBJECTIVES: This systematic review evaluates the literature to determine the usefulness and rules of artificial intelligence (AI) in the diagnosis and...

DrowsyDG-Phys: Generalizable driver drowsiness estimation in conditional automated vehicles using physiological signals.

Driver drowsiness is one of the leading causes of crashes, injuries, and fatalities on the road. Traditional drowsiness detection models relied on man...

Integrating Artificial Intelligence Into Exposure Therapy: A One Year Follow-Up Case Report of Emetophobia With Comorbid Panic Disorder.

Emetophobia is a specific phobia characterized by an intense fear of vomiting, often accompanied by panic attacks, hypervigilance to bodily sensations...

Benchmarking Isomerization Energies for C 5 $$ {\mathrm{C}}_5 $$ - C 7 $$ {\mathrm{C}}_7 $$ Hydrocarbons: The ISOC7 Database.

Highly accurate benchmark databases are critical for the development of robust and computationally efficient electronic structure methods. We introduc...

Increasing engagement with cognitive-behavioral therapy (CBT) using generative AI: a randomized controlled trial (RCT).

BACKGROUND: Shortages in mental healthcare lead to long periods of inadequate support for many patients. While digital interventions offer a scalable ...

Prospective study assessing the validity of accelerated 2D Fast Spin Echo (2D FSE) based high-resolution knee MRI and T2 mapping using deep learning reconstruction.

BACKGROUND: A routine fast spin-echo (FSE) MRI protocol is widely used to evaluate structural injuries of the knee. While adding a T2 mapping sequence...

The balance between artificial and human intelligence in clinical practice.

INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in hand surgery. Its applications extend across diag...

Image Quality Assessment of Artificial Intelligence Iterative Reconstruction for Low-dose Bronchial Artery CTA in Preoperative Hemoptysis Patients.

OBJECTIVES: To investigate the feasibility and image quality of artificial intelligence iterative reconstruction (AIIR) for computed tomography angiog...