Work Force

A proof-of-concept study for patient use of open notes with large language models.

OBJECTIVES: The use of large language models (LLMs) is growing for both clinicians and patients. Whi...

The potential of artificial intelligence reading label system on the training of ophthalmologists in retinal diseases, a multicenter bimodal multi-disease study.

OBJECTIVE: To assess the potential of artificial intelligence reading label system on the training o...

Automatic identification of hard and soft tissue landmarks in cone-beam computed tomography via deep learning with diversity datasets: a methodological study.

BACKGROUND: Manual landmark detection in cone beam computed tomography (CBCT) for evaluating craniof...

NA_mCNN: Classification of Sodium Transporters in Membrane Proteins by Integrating Multi-Window Deep Learning and ProtTrans for Their Therapeutic Potential.

Sodium transporters maintain cellular homeostasis by transporting ions, minerals, and nutrients acro...

Breaking point or turning point? Harnessing artificial intelligence to combat burnout.

Longitudinal study on the impact of short-term radiological interpretation training on resting-state brain network hubs.

Radiological expertise develops through extensive experience in specific imaging modalities. While p...

Explainable machine learning for the assessment of donor grafts in liver transplantation.

BACKGROUND AND AIM: The shortage of liver grafts compared to recipients necessitates precise organ a...

Localize-diffusion based dual-branch anomaly detection.

Due to the scarcity of real anomaly samples for use in anomaly detection studies, data augmentation ...

[Artificial intelligence in advanced surgical training : An overview].

The integration of artificial intelligence (AI) into medical education and advanced training is gain...

Artificial intelligence-enhanced video-based assessment of surgical quality for training in laparoscopic right hemicolectomy: The "Marginal Gains" pilot study.

INTRODUCTION: The study aims to propose a standardised workflow with critical views for surgical qua...

The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications.

Personalized nutrition programs enhanced with artificial intelligence (AI)-based tools hold promisi...

Exploring Contrastive Pre-Training for Domain Connections in Medical Image Segmentation.

Unsupervised domain adaptation (UDA) in medical image segmentation aims to improve the generalizatio...

A Quantitative Study of Factors Influencing Myasthenia Gravis Telehealth Examination Score.

INTRODUCTION/AIMS: The adoption of telemedicine is generally considered as advantageous for patients...

Stakeholder acceptance of a robot-assisted social training scenario for autistic children compared to a tablet-computer-based approach.

Recent studies indicate the potential benefits of robot-assisted therapy (RAT) for children on the a...

An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients.

Rehabilitation after a stroke is vital for regaining functional abilities. However, a shortage of re...

Triage of Patient Messages Sent to the Eye Clinic via the Electronic Medical Record: A Comparative Study on AI and Human Triage Performance.

: Assess the ability of ChatGPT-4 (GPT-4) to effectively triage patient messages sent to the general...

Improving realism in abdominal ultrasound simulation combining a segmentation-guided loss and polar coordinates training.

BACKGROUND: Ultrasound (US) simulation helps train physicians and medical students in image acquisit...

Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms.

Microorganisms are one of the most promising biomarkers for cancer, and the relationship between mic...

Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform.

The Hawkeye system was regarded as a successful and effective referee assistant in commercial applic...

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...

Primary Care Providers Acceptance of Generative AI Responses to Patient Portal Messages.

BACKGROUND: Patient portals bridge patient and provider communications but exacerbate physician and ...