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
- 01 Vision Core: Sub-millimeter object detection for Radiography, MRI, and CT scans.
- 02 Reasoning Core: RAG-enabled LLM for clinical decision support.
01 — 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 interpretation."
02 — Neurological Diagnostics
Brain MRI & Oncology.
Focusing on high-stakes clinical intervention. 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, deterministic, and immediate.
03 — Ophthalmic Intelligence
Retinal & Vision Care.
Glaucoma Detection
Hierarchical representation learning to discriminate between glaucomatous and healthy patterns with clinical precision.
Diabetic Retinopathy
Automated lesion detection in fundus images to prevent irreversible blindness through early screening logic.
04 — Laboratory Systems
Microscopy & Pathology
High-velocity morphological AI diagnostics.