首页|University of Illinois Chicago Reports Findings in Artificial Intelligence (Arti ficial intelligence for retinal diseases)
University of Illinois Chicago Reports Findings in Artificial Intelligence (Arti ficial intelligence for retinal diseases)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news originating from Chicago, Illino is, by NewsRx correspondents, research stated, “To discuss the worldwide applica tions and potential impact of artificial intelligence (AI) for the diagnosis, ma nagement and analysis of treatment outcomes of common retinal diseases. We perfo rmed an online literature review, using PubMed Central (PMC), of AI applications to evaluate and manage retinal diseases.” Our news journalists obtained a quote from the research from the University of I llinois Chicago, “Search terms included AI for screening, diagnosis, monitoring, management, and treatment outcomes for age-related macular degeneration (AMD), diabetic retinopathy (DR), retinal surgery, retinal vascular disease, retinopath y of prematurity (ROP) and sickle cell retinopathy (SCR). Additional search term s included AI and color fundus photographs, optical coherence tomography (OCT), and OCT angiography (OCTA). We included original research articles and review ar ticles. Research studies have investigated and shown the utility of AI for scree ning for diseases such as DR, AMD, ROP, and SCR. Research studies using validate d and labeled datasets confirmed AI algorithms could predict disease progression and response to treatment. Studies showed AI facilitated rapid and quantitative interpretation of retinal biomarkers seen on OCT and OCTA imaging. Research art icles suggest AI may be useful for planning and performing robotic surgery. Stud ies suggest AI holds the potential to help lessen the impact of socioeconomic di sparities on the outcomes of retinal diseases. AI applications for retinal disea ses can assist the clinician, not only by disease screening and monitoring for d isease recurrence but also in quantitative analysis of treatment outcomes and pr ediction of treatment response.”
ChicagoIllinoisUnited StatesNorth and Central AmericaArtificial IntelligenceBlindnessDiagnostics and Screeni ngEmerging TechnologiesEye Diseases and ConditionsHealth and MedicineMac hine LearningNervous System Diseases and ConditionsNeurologic ManifestationsOphthalmologyOptical Coherence TomographyRetinal Diseases and ConditionsRetinopathyRisk and PreventionSensation DisordersVision Disorders
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