August_Medical Technology|AI/ML Intelligence Find out what's going on in under-eye medical technology.
Eye care is one of the most important health trends for modern people, and it is difficult for modern people to escape from the problem of eye strain, no matter whether they are office workers working in front of computers for long hours every day, or low-touch people chasing dramas and sliding their cell phones in a marathon style, or gaming people playing e-sports handheld games non-stop! How much do you know about the rapid aging of the eyeballs due to eye strain? According to the Ophthalmology Association report, Taiwanese people use 3C devices for more than 10.7 hours a day on average, and the myopic population is also a major eye disease risk, according to WHO data, the world's potential future up to 5 billion myopic population, of which highly myopic patients (myopia > 500 degrees) compared to people without myopia, an increase in the risk of macular degeneration by 41 times, the risk of retinal detachment by 9 times, and cataracts by 3 times the risk! The future of the world's potential 700 million diabetic patients, diabetic patients in diabetes over 20 years after the development of diabetes, the majority of diabetes type I patients and up to 60% diabetes type II patients will have varying degrees of retinopathy and other problems, if the lesions are serious or even lead to blindness, excessive use of the eyes of the eye busy people, be careful to become blind, eye strain, myopia and diabetes-induced eye disease! The eye disease caused by over-exertion, myopia and diabetes has to be prevented.
In addition to the importance of eye preventive health care, accurate eye health check more can not be missing, the fundus vascular is the whole body blood vessels in the blood circulation dynamics and health of the microcosm, the fundus of the retina, optic nerve disk, macular, static blood vessels and arterial blood vessel damage, mostly related to the disease triggered by a photo of the fundus will be able to screen 90% fundus disease, as well as at least 8 ~ 14 kinds of fundus disease, but also to capture reflect the health status of A single fundus photo can screen for 90% fundus diseases and at least 8 to 14 other fundus diseases, and can also capture signals reflecting the health status of chronic diseases such as hypertension and diabetes. However, early changes in the fundus often do not have any symptoms and are not easy to detect. For example, early signs of diabetic retinopathy, such as microscopic angiomas, vascular leakage hemorrhage, or soft (or hard) exudates, etc., may be very small. Now, through the AI/ML funduscopic examination, through the retinal imaging equipment (such as pupil-exempt fundus camera), combined with the AI/ML auxiliary intelligent reading system to read the report, the test report will be completed within 5 minutes. The test report can be completed within 5 minutes, which will help patients to detect the lesions at an early stage and improve the efficiency of medical diagnosis, and then refer the patients for treatment in order to delay the deterioration of their conditions.
AI/ML 輔助眼底影像檢測科技大躍進,助力病灶檢測更精準 根據Research and Markets(2024)數據,2023 年全球視網膜影像設備市場規模53.9 億美元,預估到2030 年可成長約1.66倍,達到 89.7 億美元,年複合成長率為7.55%。其成長機會點來自近視人口、高血壓或糖尿病慢性病人群,以及高齡老化族群等對眼科照護需求的不斷增加,且受惠於創新免散瞳、超廣角、快成像和超高分辨率的視網膜影像設備開發,與AI/ML輔助眼底影像判讀的技術提升,如表一,將促使醫師診療流程簡便快捷,彌補眼科醫生人力和專業短缺問題,並提高醫療診斷品質。從眼科醫療資源和就醫現況來看,全球眼科專科醫生短缺不足且醫師過勞是不爭的事實,眼科醫學影像判讀需要專業訓練和長時間養成,根據統計平均一名眼科醫師需要服務將近一千多位病患,目前AI/ML能進行糖尿病視網膜病嚴重程度分級,幫助糖尿病視網膜病變檢測效率顯著提高40%,讓眼科醫師節省時間聚焦治療。此外,糖尿病視網病變,診斷和治療大都以眼科醫師為主,但實際接觸糖尿病病患的醫師主要為新陳代科、家醫科和內科等基層院所醫生,而AI/ML眼底醫療影像應用就可以提高診斷效率,讓不同科別醫師能進行初步篩檢,及早轉介到眼科醫生,就能早期發現預防,降低糖尿病醫療成本負擔,因此國際間都在加速AI/ML輔助眼底眼影像檢測科技研發腳步,搶攻解決眼底病變的巨大影像篩檢商機。 Table I,AI/ML輔助眼底影像判讀代表公司 Source: Organized by Ji-Pu Industrial Trend Research Institute. 台廠眼底醫療科技多方佈局,搭載AI/ML智能,持續搶攻海外眼科商機 AI/ML醫療影像判讀賦能醫療設備已是趨勢,將有助於精準地打造輔助診斷、高效率、成本平價化,以及不受限場域的醫療服務內容、或打破醫療影像判讀的學習門檻,以及提高醫療服務品質效率,此一趨勢也將促進新世代醫療科技產品創新加值的更迭。台廠在眼底醫療科技佈局,致力開發先進AI/ML智能醫療設備,如明達醫開發12kg輕巧可攜式眼底攝影機,取得多國認證,搶攻海外商機,或宏碁智醫開發VeriSee DR,以AI/ML輔助糖尿病視網膜病變軟體,獲台灣和國際市場超過170家醫療院採用,以及晉弘科技開發400公克手持式視網膜掃描儀搭配AI-DR輔助糖尿病視網膜病變早期篩檢,滿足各類場景使用需求,搶攻手持式眼底攝影機商機!台廠從創新眼底醫療科技設備開發,到精準AI/ML輔助影像判讀軟體開發,以及眼科醫療通路完整佈局,除為台灣民眾眼睛照護把關外,更持續延伸佈局遠距眼科醫療商機,眼科問題是長期大趨勢,台廠自主品牌持續深耕,搭載AI/ML智能加持,將有望擴大海外眼科商機。 -For more information, please contact us at






