Laser Surgery

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 (...

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...

Fundamentals of artificial intelligence for ophthalmologists.

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

A V-Net Based Deep Learning Model for Segmentation and Classification of Histological Images of Gastric Ablation.

Gastric motility disorders are associated with bioelectrical abnormalities in the stomach. Recently,...

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...

Retinal blood vessel segmentation based on Densely Connected U-Net.

The segmentation of blood vessels from retinal images is an important and challenging task in medica...

Commentary: Laser Ablation of Abnormal Neurological Tissue Using Robotic Neuroblate System (LAANTERN): Procedural Safety and Hospitalization.

Translational Retinal Imaging.

The diagnosis and treatment of medical retinal disease is now inseparable from retinal imaging in al...

Artificial Intelligence in Ophthalmology: Evolutions in Asia.

Artificial intelligence (AI) has been studied in ophthalmology since availability of digital informa...

Artificial intelligence in the ophthalmic landscape.

[Assistant diagnose for subclinical keratoconus by artificial intelligence].

To investigate the diagnosis of normal cornea, subclinical keratoconus and keratoconus by artifical...

Robotics and ophthalmology: Are we there yet?

Ophthalmology is a field that is now seeing the integration of robotics in its surgical procedures a...

Diagnostic Quality Assessment of Ocular Fundus Photographs: Efficacy of Structure-Preserving ScatNet Features.

Various ophthalmic procedures critically depend on high-quality images. For instance, efficiency of ...

Demystifying the Jargon: The Bridge between Ophthalmology and Artificial Intelligence.

Publications related to artificial intelligence (AI) and machine learning have risen exponentially i...

Artificial intelligence estimates the impact of human papillomavirus types in influencing the risk of cervical dysplasia recurrence: progress toward a more personalized approach.

The objective of this study was to determine whether the pretreatment human papillomavirus (HPV) gen...

Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration.

IMPORTANCE: Deep learning (DL) used for discriminative tasks in ophthalmology, such as diagnosing di...

Zerobot®: A Remote-controlled Robot for Needle Insertion in CT-guided Interventional Radiology Developed at Okayama University.

Since 2012, we have been developing a remote-controlled robotic system (Zerobot®) for needle inserti...

[Artificial intelligence: reinforcing the place of humans in our healthcare system].

Artificial intelligence and ophthalmology. Artificial intelligence is already very widely used in op...

Training in urological robotic surgery. Future perspectives.

As robotics are becoming more integrated into the medical field, robotic training is becoming more c...

Radiofrequency-induced endometrial ablation for the treatment of postpartum hemorrhage after vaginal delivery: Case report.

RATIONALE: Postpartum hemorrhage is a common complication and difficult problem in obstetrics. Radio...

Validation of a CT-guided intervention robot for biopsy and radiofrequency ablation: experimental study with an abdominal phantom.

PURPOSE: We aimed to evaluate the accuracy of a needle-placement robot for biopsy and radiofrequency...