Laser Surgery

Importance and use of corneal biomechanics and its diagnostic utility.

The study of corneal biomechanics has become relevant in recent years due to its possible applicatio...

The Use of a Novel Artificial Intelligence Platform for the Evaluation of Rhytids.

BACKGROUND: Artificial intelligence (AI) platforms are increasingly being utilized in various health...

A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.

PURPOSE: In patients with ophthalmic disorders, psychosocial risk factors play an important role in ...

[Research progress of ophthalmic surgery robots].

Ophthalmic surgery has the characteristics of high precision, small operating range, need of microsc...

A Novel Microsurgical Robot: Preliminary Feasibility Test in Ophthalmic Field.

PURPOSE: This study investigated the feasibility and potential advantage of using a new microsurgica...

AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline.

PURPOSE: To externally validate a deep learning pipeline (AutoMorph) for automated analysis of retin...

MVD-Net: Semantic Segmentation of Cataract Surgery Using Multi-View Learning.

Semantic segmentation of surgery scenarios is a fundamental task for computer-aided surgery systems....

A deep-learning system predicts glaucoma incidence and progression using retinal photographs.

BackgroundDeep learning has been widely used for glaucoma diagnosis. However, there is no clinically...

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.