Latest AI and machine learning research in laser surgery for healthcare professionals.
PURPOSE: This study aims to investigate generalizability of deep learning (DL) models trained on commonly used public fundus images to an instance of real-world data (RWD) for glaucoma diagnosis.
IMPORTANCE: Language-learning model-based artificial intelligence (AI) chatbots are growing in popularity and have significant implications for both patient education and academia. Drawbacks of using AI chatbots in generating scientific abstracts and reference lists, including inaccurate content coming from hallucinations (ie, AI-generated output that deviates from its training data), have not bee...
The idea of using mobile assistance robots for gait training in rehabilitation has been increasingly explored in recent years due to the associated be...
Ophthalmic surgery, which addresses critical eye diseases such as retinal disorders, remains a formidable and arduous surgical pursuit. Nevertheless, ...
Microwave ablation (MWA) therapy is a well-known technique for locally destroying lung tumors with the help of computed tomography (CT) images. Howeve...
IMPORTANCE: ChatGPT is an artificial intelligence (AI) chatbot that has significant societal implications. Training curricula using AI are being devel...
Robot-assisted Simple Prostatectomy (RASP) Surgical treatment of large adenomas of the prostate (> 80g) in men suffering from symptomatic prostate hy...
Liu et al. develop a deep-learning-based flow cytometry-like image quality classifier, DeepFundus, for the automated, high-throughput, and multidimens...
AIMS: Existing strategies that identify post-infarct ventricular tachycardia (VT) ablation target either employ invasive electrophysiological (EP) map...
INTRODUCTION: Detection of neurological conditions is of high importance in the current context of increasingly ageing populations. Imaging of the ret...
The study of corneal biomechanics has become relevant in recent years due to its possible applications in the diagnosis, management, and treatment of ...
BACKGROUND: Artificial intelligence (AI) platforms are increasingly being utilized in various healthcare applications. There are few platforms that pr...
PURPOSE: In patients with ophthalmic disorders, psychosocial risk factors play an important role in morbidity and mortality. Proper and early psychiat...
As the experience with robot-assisted partial nephrectomy (RAPN) grows, the indications have expanded to incorporate previously operated ipsilateral ...
Ophthalmic surgery has the characteristics of high precision, small operating range, need of microscopic vision, and sensitive feedback, which put for...
PURPOSE: This study investigated the feasibility and potential advantage of using a new microsurgical teleoperated robot, Symani Surgical System, in t...
PURPOSE: To externally validate a deep learning pipeline (AutoMorph) for automated analysis of retinal vascular morphology on fundus photographs. Auto...