Imaging

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.

A home self-imaging device can provide ophthalmologists with actionable insight between office visits for AMD

Researchers find a strong link between Alzheimer's disease and retinal thinning

The award from the National Institutes of Health will enable a team of researchers to investigate Alzheimer and Parkinson progression through the eye.

CVD could impact physicians' ability to identify choroidal melanoma from choroidal nevus.

The nOCT allows for detailed visualization of the brain's vascular anatomy.

TFI employs spectral interference technology to image and map the corneal surface.

The companies are teaming up to reduce care gaps and improve eye and vision health by bringing diabetic retinopathy and other eye disease screening services to patients in their own homes and workplaces.

Technology offers increased usability, safety, and accuracy in MIGS procedures.

Comanagement is a key component for treatment of disease.

The mapping method revealed prominent microscopic abnormalities consistent with diabetic retinopathy.

Alternate methods of screening may lead to earlier diagnosis of disease.

Joseph Izatt was a skilled researcher and inventor who played a foundational role in the development of optical coherence tomography.

Contrary to the traditional understanding that this disorder remains stable, long-term structural changes were observed through spectral-domain optical coherence tomography (SD-OCT) imaging.

Mobile cameras allow University of Colorado ophthalmology residents working in hospital settings to conduct more comprehensive and efficient patient evaluations.

According to the company, 2,500 clinical and peer-reviewed studies that span 235 disease states have demonstrated the clinical utility of Optos technology.

Multimodal technology bridges the gap between advanced age-related macular degeneration (AMD) biomarkers and clinical features.

Researchers at Mass Eye and Ear have demonstrated that retinal imaging can help predict a person’s risk of developing ocular, neuropsychiatric, cardiac, metabolic, and pulmonary diseases.

While the potential for fundus images is recognized, the methodology and clinical application must be improved.

Varun Chaudhary, MD, FRCSC, addressed the big questions in treating patients with retinal vascular diseases at the Retina 2024 meeting in Maui.

The goal is to understand how individuals with CVI interact with their visual world