Laser Surgery

A Case of Well Leg Compartment Syndrome After Robot-assisted Laparoscopic Prostatectomy:With Review.

Robot-assisted laparoscopic prostatectomy (RALP) for prostate cancer was introduced in 2000 and rapi...

Novel strategy for applying hierarchical density-based spatial clustering of applications with noise towards spectroscopic analysis and detection of melanocytic lesions.

Advancements in dermoscopy techniques have elucidated identifiable characteristics of melanoma which...

Ocular Diseases Detection using Recent Deep Learning Techniques.

Early fundus screening is a cost-effective and efficient approach to reduce ophthalmic disease-relat...

Risk of Bias and Error From Data Sets Used for Dermatologic Artificial Intelligence.

Updates in deep learning research in ophthalmology.

Ophthalmology has been one of the early adopters of artificial intelligence (AI) within the medical ...

Artificial intelligence and ophthalmic surgery.

PURPOSE OF REVIEW: Artificial intelligence and deep learning have become important tools in extracti...

Gaps in standards for integrating artificial intelligence technologies into ophthalmic practice.

PURPOSE OF REVIEW: The purpose of this review is to provide an overview of healthcare standards and ...

Real-world validation of artificial intelligence algorithms for ophthalmic imaging.

Artificial intelligence in ophthalmology: Optimization of machine learning for ophthalmic care and research.

A Deep Learning Model for Screening Multiple Abnormal Findings in Ophthalmic Ultrasonography (With Video).

PURPOSE: The purpose of this study was to construct a deep learning system for rapidly and accuratel...

Deep learning-based detection of hepatobiliary disorders in ophthalmic imaging.

[Urology].

Over the last year, urologic progress remains driven by the quick technologic evolution, with a focu...

Multiclass retinal disease classification and lesion segmentation in OCT B-scan images using cascaded convolutional networks.

Disease classification and lesion segmentation of retinal optical coherence tomography images play i...

Clinical applications of artificial intelligence in urologic oncology.

PURPOSE OF REVIEW: This review aims to shed light on recent applications of artificial intelligence ...

Machine learning in the optimization of robotics in the operative field.

PURPOSE OF REVIEW: The increasing use of robotics in urologic surgery facilitates collection of 'big...

Robot-Assisted Nephrectomy Using the Newly Developed Single-Port Robotic Surgical System: A Feasibility Study in Porcine Model.

To evaluate the feasibility and safety of the single-port robotic platform by performing nephrecto...

Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.

IMPORTANCE: Recent studies have demonstrated the successful application of artificial intelligence (...

A novelty route for smartphone-based artificial intelligence approach to ophthalmic screening.

Artificial intelligence (AI) has been widely applied in the medical field and achieved enormous mile...

Fundamentals of artificial intelligence for ophthalmologists.

PURPOSE OF REVIEW: As artificial intelligence continues to develop new applications in ophthalmic im...

Accelerating ophthalmic artificial intelligence research: the role of an open access data repository.

PURPOSE OF REVIEW: Artificial intelligence has already provided multiple clinically relevant applica...

Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images.

Since the thickness and shape of the choroid layer are indicators for the diagnosis of several ophth...