Imaging

Advanced monitoring strategies are overcoming significant obstacles in retinal care, as highlighted at the 2025 International SPECTRALIS Symposium — And Beyond (ISS).

Fluorescence lifetime imaging ophthalmoscopy is emerging as a valuable tool to reveal previously hidden links between retinal changes and systemic disease.

The center aims to optimize patients' vision with a range of cataract and corneal refractive procedures and minimize reliance on glasses and contacts.

Deep learning discerns IIH, NAION, and normal eyes using single fundus image.

This noninvasive imaging tool reveals early brain pathology through the eye, promising faster and more accurate diagnoses as highlighted at the Heidelberg 2025 International SPECTRALIS Symposium – And Beyond (ISS).

Findings presented at the Heidelberg 2025 International SPECTRALIS Symposium — And Beyond (ISS) suggest detailed structural data could better inform therapeutic targeting and monitoring.

With 35+ lectures, a NASA keynote, and a river cruise through historic Heidelberg, this year’s symposium blends science and scenery

Jay Chhablani, MD, explains how 3D choroidal vessel segmentation transforms ophthalmology, enhancing disease diagnosis and treatment through advanced imaging 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

The company announced it has successfully started imaging patients with its first prototype of its device using both near-infrared and green modes.

Ophthalmologist offers insights into the value of technology in diabetic retinopathy.

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

The device recently received 510(k) clearance from the US Food and Drug Administration.

The Sentinel Camera aims to address critical gaps in retinal disease screening by offering a portable device that captures high-quality images that require no dilation of the eye.

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 latest advances from flash photography to AI-driven OCT

With cases of syphilitic uveitis on the rise, recognizing its varied presentations—including optic disc edema, which may appear without other significant eye inflammation—is increasingly important for timely diagnosis and treatment.

Hyaluronic acid fillers are used for undereye volume correction, detailing aging effects on facial anatomy, common complications, and optimal injection techniques. Imaging tools such as MRI can prove to be beneficial for patient assessment.

Perimeter Medical Imaging AI has been leveraging the technology to improve breast cancer surgeries and reduce the number of patients requiring repeat surgery.

In a study, a team of Korean researchers developed an AI model using OCT images to predict neovascular AMD treatment outcomes after anti-VEGF injections. The model highlights AI’s potential in personalized ophthalmic care.

A study by a team of Chinese researchers highlights the potential of optical coherence tomography angiography (OCTA) in detecting retinal microvascular damage in renal hypertension patients. OCTA identifies reduced vascular density in key retinal regions, offering a noninvasive tool for early diagnosis and systemic disease management.

A recent cohort study revealed low adoption of FDA-approved AI-based diabetic retinopathy detection, with less than 5% of diabetic patients receiving ophthalmic imaging. Researchers emphasize the need for improved awareness, cost-effectiveness, and integration to increase diabetic retinopathy screening rates.

Peking University researchers have developed a deep learning-based, noninvasive choroidal angiography method that enables detailed 3D visualization of choroidal vessels from OCT scans. This technique could improve diagnostics for retinal diseases like macular degeneration, offering a safer alternative to traditional methods.