Latest AI and machine learning research in laser surgery for healthcare professionals.
Ocular pathologies are a leading cause of visual impairment in cats and require accurate, timely diagnosis for effective treatment. This study aimed to comparatively evaluate the performance of different deep learning (DL) architectures for the automated identification and classification of feline ophthalmic disease. A dataset of 456 clinically validated ocular images, spanning 13 classes (12 ocul...
Generative AI, particularly large language models (LLMs), is reshaping clinical workflows in dermatology. However, cloud-based commercial models pose persistent challenges to Health Insurance Portability and Accountability Act (HIPAA) compliance, especially in dermatology, where protected health information (PHI) extends beyond text to clinical photographs, dermoscopic images, and total-body photo...
OBJECTIVES: To determine whether preceding-crash characteristics add information for classifying injury involvement in a later expressway crash after ...
OBJECTIVE: Artificial intelligence (AI) is increasingly utilized for screening within ophthalmology, yet its application in rural communities remains ...
BACKGROUND: Electrographic flow (EGF) mapping is an FDA 510(k)-cleared method for visualizing atrial activation wavefronts in atrial fibrillation (AF)...
BACKGROUND: To examine global research activity in the application of artificial intelligence, large language models, machine learning, and deep learn...
PURPOSE: Ablation therapies are a treatment option for cancer patients, particularly for conditions such as spinal metastases and liver tumors. Precis...
BACKGROUND AND AIM: Artificial intelligence (AI) is increasingly being integrated into robotic urologic surgery. However, existing literature remains ...
Thermal ablation (TA), including microwave ablation, radiofrequency ablation, and cryoablation, is increasingly used as a surgical alternative for T1a...
Generative artificial intelligence (AI) is beginning to reshape medical research, with ophthalmology at the forefront of this transformation. This nar...
BACKGROUND: Pulsed Field Ablation (PFA) is a rapidly adopted catheter ablation method employing high-voltage pulses to treat cardiac arrhythmias by ca...
To map the development of robot-generated surgical data in urology and to assess how far the literature has progressed from engineering measurement to...
INTRODUCTION: Dermatology is rapidly transitioning from broad-spectrum therapies toward biologics, nanotechnology-based drug delivery, and precision t...
Robot-assisted ophthalmic surgery has undergone rapid development in recent decades. Robot-assisted ophthalmic surgery, as examined through bibliometr...
PURPOSE: Clinical decision-making in glaucoma is complex and requires integration of heterogeneous information, including patient history, examination...
Multimodal ophthalmic diagnosis requires integrating fundus photography, B-scan ultrasonography, and medical evidence, yet most artificial intelligenc...
Corneal drug permeability is a key determinant of topical ocular drug delivery efficiency, yet its quantitative prediction remains challenging due to ...
Retinal vessel segmentation plays a critical role in the diagnosis of ophthalmic diseases. However, challenges arise due to low image contrast and the...
Epiphyseal opening requires precise localization for bony bridge resection. Traditional surgery is challenged by unclear bony bridge boundary localiza...
Robotic technologies are increasingly being integrated into cosmetic dermatology; however, the scientific development of this field has not been compr...