LinkedIn Post — RADIA: AI Diagnostics in Ophthalmology & Ultrasound
Carousel slides suggestion
- Slide 1 (Hook):
radia-oft-retinoblastoma.jpg— Multicentric retinoblastoma, 5 foci detected with 98% confidence. Overlay text: "AI detected 5 tumor foci in this fundus image. In seconds." - Slide 2:
radia-oft-papiledema.jpg— Papilledema detected, Inflammation 98%. Overlay: "Papilledema = neurological emergency. AI flagged it and recommended urgent neuroimaging." - Slide 3:
radia-oft-retinopatia-isquemica.jpg— Ischemic retinopathy, 4 simultaneous findings. Overlay: "4 findings in one image: cotton wool spots, hemorrhages, papilledema, vascular changes." - Slide 4:
radia-eco-doppler-masa.jpg— Hypervascular mass on Doppler. Overlay: "Doppler ultrasound: hypervascular mass, 40mm. Differential diagnosis generated automatically." - Slide 5:
radia-eco-quiste-complejo.jpg— Complex cyst, 45×20mm. Overlay: "Not everything is malignant. AI differentiates a cyst from a sarcoma." - Slide 6 (CTA):
radia-oft-pointask-chat.jpg— PointAsk chat. Overlay: "Click anywhere on the image. Ask the AI. Get a structured answer. Try RADIA →"
Post text — Spanish
🔬 5 focos de retinoblastoma detectados en segundos. 98% de confianza.
Hace unos meses RADIA analizaba CTs dentales. Hoy procesa retinografías de fondo de ojo y ecografías Doppler de tejidos blandos — con la misma arquitectura multimodal de 3 modelos de IA funcionando en consenso.
En este artículo documentamos 7 casos reales:
👁️ Oftalmología → Retinoblastoma multicéntrico (5 focos tumorales) → Papiledema severo con recomendación urgente de neuroimagen → Retinopatía isquémica con 4 hallazgos simultáneos → Nevus macular vs melanoma — clasificación diferencial
🔊 Ecografía Doppler → Masa hipervascularizada de 25×40mm con diagnóstico diferencial completo → Masa superficial con patrón de flujo caótico (sarcoma vs hemangioma) → Lesión quística compleja — la IA que NO sobrediagnostica
La clave no es solo detectar. Es priorizar: un papiledema necesita neuroimagen urgente. Un quiste complejo necesita seguimiento. Un retinoblastoma multicéntrico cambia la estrategia terapéutica completa.
Todo funciona en el navegador. Sin instalaciones. Sin PACS. Un médico rural con una cámara de retina portátil obtiene análisis de hospital terciario.
📖 Artículo completo → https://codex.cadences.app/blog/radia-oftalmologia-ecografia-ia
🩻 Probar RADIA → https://radia.cadences.app
#MedicalAI #Ophthalmology #Radiology #HealthTech #AI #DeepLearning #Retinoblastoma #Ultrasound #Diagnostics #DigitalHealth
Post text — English
🔬 5 retinoblastoma foci detected in seconds. 98% confidence.
A few months ago RADIA was analyzing dental CTs. Today it processes fundus photographs and soft tissue Doppler ultrasounds — with the same multimodal architecture of 3 AI models working in consensus.
In this article we document 7 real cases:
👁️ Ophthalmology → Multicentric retinoblastoma (5 tumor foci) → Severe papilledema with urgent neuroimaging recommendation → Ischemic retinopathy with 4 simultaneous findings → Macular nevus vs melanoma — differential classification
🔊 Doppler Ultrasound → 25×40mm hypervascularized mass with complete differential diagnosis → Superficial mass with chaotic flow pattern (sarcoma vs hemangioma) → Complex cystic lesion — AI that does NOT over-diagnose
The key isn't just detection. It's prioritization: papilledema needs urgent neuroimaging. A complex cyst needs follow-up. Multicentric retinoblastoma changes the entire therapeutic strategy.
Everything runs in the browser. No installations. No PACS. A rural doctor with a portable retinal camera gets tertiary hospital-quality analysis.
📖 Full article → https://codex.cadences.dev/en/blog/radia-oftalmologia-ecografia-ia
🩻 Try RADIA → https://radia.cadences.app
#MedicalAI #Ophthalmology #Radiology #HealthTech #AI #DeepLearning #Retinoblastoma #Ultrasound #Diagnostics #DigitalHealth