Surveys

Further Considerations for Objective Facial Paralysis Assessment.

This paper discusses the clinical potential of an artificial intelligence-based facial paralysis assessment system. The proposed approach may provide important contributions to the objective evaluation of facial movements and facial symmetry. Several suggestions are presented, including the incorporation of premorbid facial photographs, comparison with established clinical grading systems, and val...

Dental age assessment: orthopantomogram-based comparison of traditional methods and artificial intelligence in the adult population.

Dental age estimation in adults represents an important component of forensic odontology and medicolegal practice. Recent artificial intelligence (AI) approaches have demonstrated improved performance compared to traditional morphometric techniques. This study aimed to compare the reliability and accuracy of three conventional dental age estimation methods with an AI-based approach. A total of 100...

Computer modeling to improve measurement of stroke volume with echocardiography.

BACKGROUND: The stroke volume (SV) can be measured by a human expert (HE) using the left ventricular outflow tract diameter (LVOTd) and its velocity t...

The reliability-clarity paradox in vascular digital health: A nurse-led evaluation of ChatGPT-4's accuracy in diabetic foot ulcer management.

BACKGROUND: Diabetic foot ulcers remain a leading cause of non-traumatic amputations worldwide, necessitating precise patient education and clinical m...

Comparative Evaluation of Three Artificial Intelligence-Based Tools for Question Generation in Endodontics.

This study aimed to compare the ability of three artificial intelligence-based large language models, ChatGPT-4, Copilot, and Gemini, to generate mult...

Anatomical Fidelity in Text-to-Image Generative AI: A Comparative Qualitative and Quantitative Evaluation.

Traditional anatomical resources like cadaveric dissection and professional atlases are the gold standard, but face constraints in cost and accessibil...

Perceptions on artificial intelligence among anaesthesia and intensive care professionals: An international survey on attitudes, expectations and needs.

Background Artificial intelligence (AI) can enhance diagnostics, treatment, and workflow efficiency. However, successful integration into clinical pra...

Achieving Equity in Generative Artificial Intelligence in Cardiovascular Medicine.

Artificial intelligence (AI), specifically generative AI, presents opportunities to advance equity through transformative practices in cardiovascular ...

Curated endoscopic retrograde cholangiopancreatography images dataset.

Endoscopic Retrograde Cholangiopancreatography (ERCP) is a key procedure in the diagnosis and treatment of biliary and pancreatic diseases. Artificial...

A wearable device dataset for mental health assessment using laser Doppler flowmetry and fluorescence spectroscopy sensors.

BACKGROUND: Mental health conditions such as depression, anxiety, and stress are commonly assessed using self-reported questionnaires and limited wear...

AI integration in pediatric radiology: perspectives from international academic leaders.

OBJECTIVE: Artificial intelligence (AI) is increasingly integrated into radiology, but pediatric imaging remains underrepresented in implementation st...

Deep learning-based super-resolution ultrashort echo time MRI for pulmonary nodule detection and longitudinal assessment in emphysema.

PURPOSE: This study aimed to evaluate the performance of deep learning-based super-resolution ultrashort echo time magnetic resonance imaging (SR-UTE ...

Diagnostic accuracy of artificial intelligence for spinopelvic parameters in standing total spine X-ray and limitations after fusion surgery.

OBJECTIVE: To evaluate the accuracy of a commercial deep learning algorithm in measuring spinopelvic parameters on full spine radiographs. MATERIALS A...

A comparative evaluation of large language models in diagnosis and treatment planning in restorative dentistry.

OBJECTIVE: With the advancement of artificial intelligence (AI), large language models (LLMs) have become an alternative source of information in dent...

An edge-AI enabled wearable platform for real-time epileptic seizure detection with geolocated alerting.

Epilepsy remains a major global health concern, particularly in regions where continuous medical monitoring is difficult to implement. This study intr...

Pediatric precision sleep network: a study protocol for identifying sleep signatures of mental health risk in peri-adolescents.

BACKGROUND: Peri-adolescence (ages 10-13) is a sensitive-and clinically critical-developmental window for the emergence of psychiatric symptoms, yet s...

Life's essential 8 and its role in cardiovascular health: evolution, evidence, and future directions.

INTRODUCTION: Cardiovascular disease (CVD) remains the leading global cause of mortality. To advance prevention, the American Heart Association introd...

Adoption of Artificial Intelligence-Based Precision Mental Health Technologies Among Psychology Trainees: Mixed Methods Cross-Sectional Survey Study.

BACKGROUND: Despite the significant benefits of artificial intelligence (AI) in mental health, real-world implementation remains limited, making it es...

Alleviating Nurse Burnout With an Artificial Intelligence-Selected Mobile Cognitive Behavioral Therapy-Based Intervention: Mixed Methods Randomized Controlled Trial.

BACKGROUND: Nurse burnout is a pervasive global problem. Cognitive behavioral therapy (CBT) has been shown to reduce burnout; however, most digital CB...

Exploring Informal Caregivers' Perception of the Olera Digital Caregiving Assistance Platform for Dementia Care: Mixed Methods Evaluation Study.

BACKGROUND: Informal caregivers of people living with dementia often experience high rates of caregiver burnout while providing care. Although there a...