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Cost-effectiveness of community-based artificial intelligence screening for retinopathy of prematurity.

BACKGROUND: Retinopathy of prematurity (ROP) is one of the leading causes of childhood blindness glo...

Fundamentals of Hyperpigmentation Disorders: Causes, Concerns, and Treatment Strategies, Particularly in Skin of Color Patients.

BACKGROUND: Pigmentary disorders, including hyperpigmentation, are among the most common dermatologi...

Evolution of surgical robotics innovation in China: a patent landscape analysis, 2003-2025.

Surgical robots are high-end medical equipment that deeply integrates surgery with mechanical engine...

Artificial Intelligence applied to surgical pathology in the management of cutaneous melanoma.

Surgical pathology remains the cornerstone for the diagnosis, staging and prognostic stratification ...

Ocular Factors Affecting AI Diagnosis in Diabetic Retinopathy Screening for Resource-Limited Regions: Cross-Sectional Study.

BACKGROUND: Diabetic retinopathy (DR) is the leading cause of vision loss among working-age adults w...

Development and validation of an AI-enhanced prediction model for 3-year visual decline in patients with diabetes using ophthalmic imaging: protocol for a real-world longitudinal cohort study.

BACKGROUND: Diabetic retinopathy (DR) is one of the leading causes of visual impairment among workin...

CTCF-FXN regulatory axis plays critical roles in clinical assessments and disease progression of primary open-angle glaucoma.

Primary open-angle glaucoma (POAG) is an irreversible ophthalmic disease that is the leading cause o...

Current Trends in AI and Eye Disease Diagnostics.

PURPOSE: Artificial intelligence (AI) has rapidly advanced as an approach for ophthalmic disease det...

In vitro contact force evaluation of robotic magnetic navigation catheters; Head to head comparison of different catheters and different settings.

BACKGROUND: The Stereotaxis Robotic Magnetic Navigation (RMN) system uses an external magnetic field...

A real-time machine learning framework for improved intraoperative risk predictions in cardiac surgery patients.

BACKGROUND AND OBJECTIVE: Cardiac surgeries are associated with a range of serious postoperative com...

Attention-Guided 3D Residual Learning for Pulmonary Embolism Segmentation on CT Pulmonary Angiography.

Pulmonary embolism is a potentially life-threatening condition that requires timely and accurate dia...

Foundation Models in Ophthalmic Artificial Intelligence: Current Status and Future Directions.

Recent advances in ophthalmic foundation models have accelerated the application of artificial intel...

Conditional spatial classification of expert-confirmed interictal epileptiform discharge epochs: An EEG-ECG ablation and SHAP analysis.

Interictal epileptiform discharges (IEDs) are diagnostically important EEG abnormalities, but after ...

Recent Advances in Alternate Corneal Models for Ophthalmic Safety Testing and Efficacy Studies: A Special Focus on Organ-on-a-Chip, Organoid, and 3D Models.

Accurate assessment of ocular toxicity, drug safety, and therapeutic efficacy remains a significant ...

Preoperative predictive factors for opaque bubble layer formation and area during small-incision lenticule extraction: predictive models based on machine learning.

BACKGROUND: We aimed to develop exploratory machine learning (ML)-based predictive models for the oc...

STAR Apollo™ Map-Guided Redo Ablation for Recurrent Persistent Atrial Fibrillation after Prior Pulmonary Vein Isolation: Procedural Feasibility, Safety, and Twelve-Month Rhythm Outcomes from a Prospective Multicenter Study (NCT05826665).

BACKGROUND: Redo ablation for persistent atrial fibrillation (AF) that recurs after pulmonary vein i...

How appropriate are ChatGPT-5's answers to acne questions?: A category-based evaluation by dermatologists.

Online conversational tools have become increasingly common sources of health information, with many...

[Requirements for artificial intelligence scribe systems for medical documentation in ophthalmology].

BACKGROUND: Clinical documentation accounts for a substantial proportion of ophthalmologists' workin...

When Artificial Intelligence Says Maybe: Navigating Patient Trust in Dermatologic Surgical Decision-Making.

Real-time continuous assessment of fatigue from surface electromyography with deep learning for training load regulation in elite cyclists.

BACKGROUND: Accurate assessment of exercise-induced muscle fatigue is essential for optimizing train...

[Multicenter study of deep learning multitask model for predicting neoadjuvant chemotherapy response and event-free survival of pediatric head and neck rhabdomyosarcoma].

Objective: To investigate the value of a pretreatment magnetic resonance imaging (MRI)-based deep le...