- category:Research
Research
Digital retinal imaging tool may detect dementia
Researchers have created a retinal imaging database to develop AI-based software to detect neurodegenerative diseases during a routine eye exam.
Research
New research supports efficacy of AI in home OCT monitoring
Cross-sectional study results led to the first-ever clearance of an AI algorithm applied to OCT images: Notal Vision’s SCANLY Home OCT.
Research
Researchers test ChatGPT on retinal disease clinical guidelines
ChatGPT accurately answered questions related to medical retinal care, but struggled with surgical conditions.
Research
CASExGLOBAL partners with Clinical AI and iOR Partners on AI-based clinical trials for OBS centers
Collaboration focuses on debuting an advanced SMO to create a decentralized trial framework designed to streamline processes and accelerate drug and device development.
Research
AI and smartphone imaging may detect pediatric eye diseases
Predictive models demonstrate varying levels of accuracy and sensitivity in identifying myopia, strabismus, and ptosis.
Research
GoogleAI chatbots pass ophthalmology board exams
Researchers investigate Google AI’s Gemini and Bard for their knowledge of ophthalmology across multiple countries.
Research
AI captures new retinal biomarker for systemic disease
Study uses AI to investigate fractal dimension as a potential biomarker for systemic health.
Research
Heidelberg and Eye2Gene partner on AI ophthalmic diagnostics for IRD
Collaboration integrates an artificial intelligence algorithm with image and data tech to detect disease and personalize patient care.
Research
Phoenix-Micron and ArtiKode collaborate on AI-based ophthalmic imaging
Artificial intelligence model is integrated with the MICRON OCT imaging workflow to offer precise analysis, enhanced productivity, and data accuracy.
Research
AI system detects severe ROP with 100% accuracy
Researchers sought to determine the detection rate of more-than-mild retinopathy of prematurity and type 1 ROP.
Research
NovaSight reports long-term vision gains in CureSight study
Data on 1-year post-treatment supports use of at-home amblyopia treatment for pediatric patients.
Research
AI system found to match and surpass human ophthalmologists
Findings from a comparative study of chatbot vs glaucoma and retina specialists support the potential for future integration into clinical practice.
Research
ChatGPT gets tested on ophthalmologic subspecialty accuracy
Responses to questions about common ophthalmic diseases range from accurate and helpful to incomplete and potentially harmful.
Research
Researchers identify pediatric autism via AI and retinal abnormalities
Deep learning models with retinal photographs are potentially a time- and cost-effective tool for ASD screening.
Research
Study: Autonomous AI for DR testing improves clinical productivity
Orbis International-supported, peer-reviewed RCT evaluates the use of an AI-based diagnostic system to conduct examinations.
Research
Novel research supports AI-led screenings for DR
Orbis-supported study examines the use of Cybersight AI for screening pediatric and adolescent patients.
Research
Research investigates AI as a BCVA estimator in DME
Findings suggest visual acuity may be combined with OCT central subfield thickness measurements.
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Smartphone cameras and AI target vision loss in ROP
SBFI systems show effectiveness in detecting a need for treatment and translate to expanded global eyecare access.
Research
RetinAi and Boehringer Ingelheim partner for AI-based GA treatment
Collaboration focuses on identifying novel biomarkers and predictors for an earlier, more accurate diagnosis of retinal diseases.
Research