Latest AI and machine learning research in laser surgery for healthcare professionals.
Lyme disease is one of the most common vector-borne infections. It typically causes cardiac illnesse...
On September 3, 2020, the Collaborative Community on Ophthalmic Imaging conducted its first 2-day vi...
To evaluate the performance of a deep convolutional neural network (DCNN) in detecting local tumor p...
BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response i...
The accurate segmentation of retinal vessels images can not only be used to evaluate and monitor var...
Protein kinase-inhibitor interactions are key to the phosphorylation of proteins involved in cell pr...
Coronavirus Disease 2019 (COVID-19) is extremely infectious and rapidly spreading around the globe. ...
We hypothesize that artificial intelligence (AI) applied to relevant clinical testing in glaucoma ha...
An increasing number of artificial intelligence (AI) systems are being proposed in ophthalmology, mo...
Eye irritation and corrosion are fundamental considerations in developing chemicals to be used in or...
BACKGROUND: Focal therapy (FT) for prostate cancer is less invasive than radical treatment but carri...
Photothermal therapy (PTT) requires tight thermal dose control to achieve tumor ablation with minima...
Among the various robotic devices that exist for urologic surgery, the most common are synergistic t...
This study aimed to detect and diagnose the lung nodules as early as possible to effectively treat t...
The integration of robotics into retinal microsurgery leads to a reduction in surgeon perception of ...
Thermal ablation is an acceptable alternative treatment for primary liver cancer, of which laser abl...
Fundus Image Segmentation (FIS) is an essential procedure for the automated diagnosis of ophthalmic ...
BACKGROUND: Radiofrequency catheter ablation (RFCA) is an effective therapy for atrial fibrillation ...
INTRODUCTION: Robot-assisted laparoscopic (RAL) urologic surgery is widely used in pediatric patient...