Laser Surgery

Robot-Assisted Surgery for Endometriosis Current and Future Perspectives.

Successful resection of all visible lesions may effectively treat endometriosis-related infertility ...

Robotic Kidney Transplant: The Modern Era Technical Revolution.

Since the mid 20th century, transplantation has been a fast-developing field of contemporary medicin...

Towards gender equity in artificial intelligence and machine learning applications in dermatology.

There has been increased excitement around the use of machine learning (ML) and artificial intellige...

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...

A Review on an Artificial Intelligence Based Ophthalmic Application.

Artificial intelligence is the leading branch of technology and innovation. The utility of artificia...

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...

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

Ocular Diseases Detection using Recent Deep Learning Techniques.

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

Updates in deep learning research in ophthalmology.

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

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 ...

Artificial intelligence and ophthalmic surgery.

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

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...

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...

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...

Clinical applications of artificial intelligence in urologic oncology.

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