ShatabhishaM
The Wisdom of a Hundred Healers.
ShatabhishaM is not just a model; it is a Diagnostic Ecosystem. It fuses advanced Computer Vision with Large Language Models (LLMs) to provide reasoning-based medical insights.
While traditional AI identifies an anomaly, ShatabhishaM contextualizes it—comparing visual data against patient history, vitals, and clinical literature to suggest management paths.
The Dual-Core Engine
- Vision Core: Sub-millimeter object detection for Radiography, MRI, and CT scans.
- Reasoning Core: RAG-enabled LLM for clinical decision support.
Respiratory & Radiology
Pulmonary Vision
X-Ray & CT Analysis
Automated identification of COVID-19, Pneumonia, and Tuberculosis from chest radiography. In regions with a dearth of medical personnel, our AI provides fast, accurate screening to save critical time.
Global Impact
"Addressing the gap of 2.3 million doctors in developing nations through rapid, automated X-ray interpretation."
Neurological Diagnostics
Brain MRI & Oncology
Focusing on the deadliest forms of cancer. Our models utilize Deep Learning (CNNs) for automatic segmentation and tumor diagnosis in high-quality MRI images.
- Brain Tumor Identification
- Alzheimer’s Progression Tracking
Early diagnosis can prevent 30-50% of cancer deaths. Our goal is to make high-end MRI analysis accessible and immediate.
Ophthalmic Intelligence
Retinal & Vision Care
Glaucoma Detection
Hierarchical representation learning to discriminate between glaucomatous and healthy patterns.
Diabetic Retinopathy
Automated lesion detection in fundus images to prevent irreversible blindness.