Background: Clinical artificial intelligence (AI) has reached a critical inflection point.
Advances in algorithmic science and increased understanding of operational considerations …

Artificial intelligence (AI) has great potential to transform healthcare by enhancing the
workflow and productivity of clinicians, enabling existing staff to serve more patients …

Artificial Intelligence (AI) has found rapidly growing applications in ophthalmology, achieving
robust recognition and classification in most kind of ocular diseases. Ophthalmic surgery is …

Facial vascularized composite allotransplantation (FVCA) is an emerging field of
reconstructive surgery that represents a dogmatic shift in the surgical treatment of patients …

Phacoemulsification cataract surgery (PCS) is a routine procedure conducted using a
surgical microscope, heavily reliant on the skill of the ophthalmologist. While existing PCS …

Glaucoma, the leading cause of irreversible blindness worldwide, comprises a group of
progressive optic neuropathies requiring early detection and lifelong treatment to preserve …

A critical yet unpredictable complication following cataract surgery is intraocular lens
dislocation. Postoperative stability is imperative, as even a tiny decentration of multifocal …

Purpose: To evaluate the potential for artificial intelligence-based video analysis to
determine surgical instrument characteristics when moving in the three-dimensional vitreous …

Background Annotated data are foundational to applications of supervised machine
learning. However, there seems to be a lack of common language used in the field of …

The proliferation of AI-based technologies in static imaging in clinical ophthalmology,
continued refinement of AI tools designed for video-based applications, and development of …