Homepage/ NEWS/ BIX-LV14: Teaching 13 Fundus Lesions Without a Patient BIX-LV14: Teaching 13 Fundus Lesions Without a Patient BIX-LV14: Teaching 13 Fundus Lesions Without a Patient in the Chair Short answer: BIX-LV14 is an eye model for fundus examination and retinopathy recognition, supplied with 13 replaceable lesion modules. The page lists the modules by name — normal retina, age-related macular degeneration, central retinal vein occlusion, hypertensive retinopathy, optic disc oedema, optic disc cupping, optic atrophy and several stages of diabetic retinopathy — plus one manual. It is a recognition trainer, not a simulator of a live examination. Key takeaways Thirteen modules is a curriculum, not a demo: the set covers the lesions most often missed in non-specialist screening. Replacement is the teaching mechanism: swapping a slide forces the trainee to re-orient and re-focus rather than memorise one image. Same eye, different fundus: because the housing stays the same, the variable is the pathology, which is exactly what a screening skill needs. Direct ophthalmoscopy is a declining skill and simulation models are the practical way to reverse that [1]. No price is published and the page does not state magnification or lamp requirements. What ships in the basic configuration ItemPublished detail ModelBIX-LV14 CategoryAnatomical Series → Eye Models PurposeFundus examination and fundus disease diagnostic skills training Basic configuration1 eye retinopathy examination model, 13 fundus lesion accessories, 1 manual Module handlingLesions are described as realistic and easy to replace for repeated comparison PriceNot published — quotation required The 13 modules, mapped to what they teach Module (as listed)Recognition skill Normal retinalBaseline: disc margins, vessel calibre, macula position Age-related macular degeneration — drusenSmall yellow deposits near the macula Central retinal vein occlusionWidespread haemorrhage following the vascular pattern Hypertensive retinopathyVessel narrowing and crossing changes Optic disc oedemaBlurred margins and a swollen disc Optic disc cuppingEnlarged cup, relevant to glaucoma referral Optic atrophyPale disc with reduced vascularity Mild background diabetic retinopathyEarly microaneurysms and dot haemorrhages Background diabetic retinopathy (simplex)More extensive background changes Early proliferative diabetic retinopathy 1First neovascular signs Early proliferative diabetic retinopathy 2Progression of new vessels Proliferative diabetic retinopathyEstablished proliferation Diabetic retinopathy (additional module)Mixed presentation for a final discrimination test A 40-minute recognition station Baseline first (6 min). Every trainee examines the normal retina and describes disc, vessels and macula before seeing any pathology. Three-lesion contrast (12 min). Present AMD drusen, CRVO and hypertensive retinopathy in sequence. Ask for one distinguishing feature each, in writing. Disc set (8 min). Oedema, cupping and atrophy together — the three that are confused most often. Diabetic ladder (10 min). Order the diabetic modules from mild to proliferative without seeing the labels. Debrief (4 min). Reveal the order and discuss the two most common misclassifications in the group. What the evidence says A systematic review of simulation models in direct ophthalmoscopy education found that models are used precisely because patient-based practice is scarce and opportunistic [1]. A 2026 study of a portable AI-supported fundus camera in primary care showed how much screening now depends on non-specialists recognising referable disease [2]. A deep-learning referral study for diabetic retinopathy grading illustrates the same clinical priority from the algorithm side: severity staging is what determines referral [3]. The limitation is honest: a static module teaches pattern recognition, not the dynamic examination. The page does not describe a pupil that reacts, a cornea to negotiate or a patient who blinks. Those skills still need a supervised human examination. What the page does not publish Not statedWhy it matters Magnification of the eyeDetermines whether the view matches a direct ophthalmoscope or a slit lamp. Illumination requirementWhether a separate light source is needed. Module material and scratch resistanceRepeated swapping is the main wear path. Spare module pricingReplacement cost after loss or damage. Price and lead timeQuotation item. Send those five lines to chinoncpr@adaanatomy.com with the model number BIX-LV14 and your cohort size, and we will answer each one and attach the current supply data. FAQ Q1. What is BIX-LV14? An intraocular retinopathy inspection training eye model supplied with 13 replaceable fundus lesion modules for examination and diagnostic practice. Q2. How many lesions are included? Thirteen fundus lesion accessories, covering normal retina, AMD, CRVO, hypertensive retinopathy, disc oedema, cupping, atrophy and multiple diabetic retinopathy stages. Q3. Can modules be swapped during a lesson? Yes — the page describes the lesions as easy to replace, which is what allows repeated comparison. Q4. Does it simulate a reacting pupil? The page does not describe a pupil reaction. It is a fundus recognition model, not a full eye examination simulator. Q5. What magnification does it use? Not stated. Confirm before you map the model to direct ophthalmoscopy or slit-lamp practice. Q6. How do I get a price? Email chinoncpr@adaanatomy.com with the model (BIX-LV14), your quantity and the five lines above, and ask for spare module pricing in the same message. Request a quotation Write to chinoncpr@adaanatomy.com for the BIX-LV14 module list, magnification data and a quotation. If you teach screening to primary-care staff, tell us the cohort size so the number of eye units per station can be planned with the order. References Simulation models in direct ophthalmoscopy education: a systematic review. Canadian Medical Education Journal. 2025. Accuracy of portable artificial intelligence-supported fundus camera in the screening of diabetic retinopathy in primary care. Archives of Endocrinology and Metabolism. 2026. A two-stage deep learning referral system with progressive training for diabetic retinopathy screening and severity grading. Computers in Biology and Medicine. 2026. 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