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What color light helps find veins?
Mar 27 , 2025
In medical practice, green light (with a wavelength of about 540nm) is generally considered the color of visible light that is most helpful in locating veins. Here's the explanation: 1. Optical principle: - Deoxyhemoglobin in Vein Finder has a higher absorption rate of green light, while surrounding tissues (such as skin and fat) reflect more green light. This contrast between absorption and refle...
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Is optical coherence tomography worth it?
Apr 08 , 2025
Optical coherence tomography (OCT) is a valuable imaging technology with diverse applications in medicine, particularly in ophthalmology and cardiology. Its utility depends on the clinical context, but here’s a comprehensive evaluation of its benefits and considerations: Key Benefits of OCT 1. Non-Invasive and Safe - OCT uses light waves (e.g., near-infrared) instead of radiation or invasive probe...
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Does obesity make it more difficult to find veins?
Apr 30 , 2025
1.Thickening of subcutaneous fat - Deeper vein location: The subcutaneous fat layer of obese people is thicker, which may cause the veins to be covered by fat, making them deeper and difficult to accurately locate through visual observation or touch (palpation). - Blurred touch: Adipose tissue weakens the elastic touch of veins finder, making it difficult for medical staff to determine the locatio...
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Holding hands and looking at the eyes to help with diagnosis | Suddenly
May 14 , 2025
Common causes: tractional retinal detachment (TRD) is mainly caused by the traction of the fibrous vascular membrane on the surface of the retina or within the vitreous. Adult TRD is most commonly seen in proliferative diabetic retinopathy (PDR), retinal vein occlusion (RVO), retinal vasculitis and proliferative vitreoretinopathy (PVR). In addition, trauma, sickle cell retinopathy and uveitis, etc...
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The Next Generation of OCT Technology Poised to Take Off and How AI is Reshaping the Future of OCT
May 29 , 2025
When OCT meets artificial intelligence, a diagnostic revolution quietly arrives: Automatic lesion identification: The algorithm based on convolutional neural network (CNN) can complete the pathological analysis of ophthalmic OCT images within 0.3 seconds, identifying dozens of lesions such as macular holes and retinal detachment, with an accuracy rate exceeding 95% Real-time surgical navigation: D...
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