Latest AI and machine learning research in laser surgery for healthcare professionals.
PURPOSE: To evaluate the accuracy and reliability of four artificial intelligence (AI) models-ChatGP...
AIM: To evaluate a real-world clinical integration of an autonomous artificial intelligence (AI) sys...
Bacterial keratitis is a major cause of corneal blindness worldwide, with marked differences in clin...
PURPOSE: To evaluate the diagnostic performance of a regulatory-approved (CE-marked) artificial inte...
The proposed multi-modal deep learning system for lung cancer diagnosis and characterisation uses st...
BACKGROUND: Ovarian cancer patients requiring intensive care unit (ICU) admission face particularly ...
Early detection of diabetic retinopathy (DR) is crucial for preventing irreversible vision loss; how...
The field of oncology has witnessed remarkable progress with the integration of high-tech innovation...
Mental workload classification is critical in safety-sensitive fields such as healthcare and aviatio...
BACKGROUND: Multimodal Large Language Models (LLMs) are increasingly positioned as diagnostic assist...
BACKGROUND: This is an updated component network meta-analysis to evaluate efficacy and safety of va...
In vivo confocal microscopy (IVCM) is a critical ophthalmic examination that provides in vivo cytolo...
OBJECTIVES: To develop an MS-Res-AttU-Net-based deep learning framework for automatic measurement of...
BACKGROUND: Cardiometabolic multimorbidity (CMM) is increasingly prevalent among patients with atria...
Robot-assisted surgery has become an important component of modern urologic practice, and the emerge...
BACKGROUND: Hard drusen appear as hyperfluorescent dots on indocyanine green angiography (ICGA) due ...
BACKGROUND: Falls are among the most common safety concerns in people with visual impairment and can...
Fluorescence-guided imaging has increasingly been integrated into robot-assisted urologic surgery to...
Artificial intelligence (AI) has shown promise in dermatology, offering accurate and non-invasive di...
Three-dimensional (3D) rendering of urologic pathology plays an important role in simulation-based e...
Predicting the epidemic threshold [Formula: see text] in contact networks is a central challenge in ...