Latest AI and machine learning research in laser surgery for healthcare professionals.
Liu et al. develop a deep-learning-based flow cytometry-like image quality classifier, DeepFundus, for the automated, high-throughput, and multidimensional classification of fundus image quality. DeepFundus significantly improves the real-world performance of established artificial intelligence diagnostics in detecting multiple retinopathies.
AIMS: Existing strategies that identify post-infarct ventricular tachycardia (VT) ablation target either employ invasive electrophysiological (EP) mapping or non-invasive modalities utilizing the electrocardiogram (ECG). Their success relies on localizing sites critical to the maintenance of the clinical arrhythmia, not always recorded on the 12-lead ECG. Targeting the clinical VT by utilizing ele...
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...
Semantic segmentation of surgery scenarios is a fundamental task for computer-aided surgery systems. Precise segmentation of surgical instruments and ...
BackgroundDeep learning has been widely used for glaucoma diagnosis. However, there is no clinically validated algorithm for glaucoma incidence and pr...
Successful resection of all visible lesions may effectively treat endometriosis-related infertility and pelvic pain. Minimally invasive surgery provid...
Since the mid 20th century, transplantation has been a fast-developing field of contemporary medicine. The technical aspects of transplant operations ...
There has been increased excitement around the use of machine learning (ML) and artificial intelligence (AI) in dermatology for the diagnosis of skin ...
Robot-assisted laparoscopic prostatectomy (RALP) for prostate cancer was introduced in 2000 and rapidly gained popularity. The Da Vinci Surgical Syste...
Artificial intelligence is the leading branch of technology and innovation. The utility of artificial intelligence in the field of medicine is also re...
Advancements in dermoscopy techniques have elucidated identifiable characteristics of melanoma which revolve around the asymmetrical constitution of m...