Technology

Compensation techniques in swept-source optical coherence tomography angiography improve accuracy by correcting signal loss from drusen and other artifacts

Researchers introduce a multistage dual-branch network to improve accuracy and efficiency

Although it improved interdisciplinary communication, ongoing review and safety monitoring are necessary for successful clinical implementation.

Key parameters captured by the module include disc area, cup area, cup volume, minimal cup depth, maximum cup depth, cup/disc area ratio, rim absence angle, and disc-damage likelihood scale.

Inflammation and scarring are the primary obstacles with pirfenidone.

Sophisticated programs require an evolving mindset.

These tools help fill a gap that current technologies cannot achieve as effectively.

Shameema Sikder, MD; and T. Y. Alvin Liu, MD, highlight the technology’s role in bridging challenges and successes for clinical practice.

The UK-based company will debut the tool, called Dr.Noon CVD, at two conferences in March.

Nathan Congdon, MD, highlights a recent study showing how virtual mentor-mentee relationships through Orbis' free telemedicine and e-learning platform can significantly enhance care.

The AI-READI project aims to establish fair, equitable, and ethical access to big data, enhancing artificial intelligence’s ability to diagnose systemic diseases and drive progress in ophthalmology research.

A look at the biggest news and advancements in ophthalmology in 2024.

The report details the results of preclinical discovery, engineering and characterization studies evaluating the safety, retinal cell transduction, transgene expression and clinical activity of proprietary evolved intravitreal vector R100 and 4D-150.

Research data published earlier this year could help clinicians gain a better understanding of what to look for in a specular microscope, and how to interpret inter- and intradevice repeatability results in a way that benefits their existing practice framework.

The use of ChatGPT may be premature to replace anterior segment experts.

The integration of artificial intelligence in laser cataract technology is shifting the paradigm for the future of cataract surgery and is driving increased precision and improved outcomes for patients.

A time line marked by innovation, collaboration, and improving patient outcomes.

The Center, which was launched in 2023, will now be named The Barry Family Center for Ophthalmic Artificial Intelligence and Human Health.

The donation will support the development of the Artificial Intelligence Innovation Center, a collaborative hub with a focus of preserving the vision of patients with various eye conditions and eliminating blindness.

Option provides surgeons with flexibility and creativity.

German researchers found that their study results suggest that the effect of glaucoma on the elapsed time depends on disease progression. This uncertainty during everyday navigation tasks may adversely affect patients’ quality of life.

Researchers from NYU Langone published a study reporting on the eye's functioning, without sight but offering hope for the future.

Sujay Jadhav, CEO of Verana Health, a digital health company dedicated to revolutionizing patient care and clinical research through real-world data (RWD), provides an overview of new FDA guidance.

A team of researchers from Johns Hopkins Medicine and the University of Wisconsin-Madison conducted a study on the application of autonomous artificial intelligence and testing for diabetic eye disease.

Australian researchers have found that clinical registries may be an untapped font of information for artificial intelligence.

With many benefits, AI technology does have the potential to change the way practices work in the coming years, but it may require additional advancements in terms of relieving physician burnout and driving organization.

Technologies continue to push retina surgical suites into the future

The Australian Society of Ophthalmologists hosted its inaugural Eye Surgery Showcase, where participants learned how ophthalmologists and the medical technology industry are working together to save the sight of Australians.

Researchers from the Shanghai Jiao Tong University School of Medicine developed a deep learning–based model for early identification of myopia, strabismus, and ptosis using 1419 facial photographs from 476 individuals.