Tracks model training, accuracy trends, and execution outcomes with visual dashboards for ongoing AI improvement.

Analyzes histopathology slides (JPEG/PNG) to detect cancer types with high accuracy, highlighting abnormalities and generating structured diagnostic reports.

Automatically generates digital prescriptions from doctor inputs or voice notes, integrated with pharmacy networks for accuracy and compliance.

Digitizes OPD workflows with AI-driven registration, queue management, consultations, and follow-ups to manage high patient volumes.

AI-powered diagnostic support tools that analyze patient data, symptoms, and medical history to assist doctors in treatment planning.

ML-driven analysis of molecular structures and clinical trial data to accelerate drug development and identify new therapeutic uses.

AI-powered genomic analysis for risk prediction, personalized treatment planning, and targeted therapies.

AI systems that ensure adherence to HIPAA, ABHA, and clinical guidelines, reducing compliance risks.

AI-enabled interpretation of X-rays, CT scans, and MRIs for early detection of fractures, tumors, and organ anomalies.

Transforms unstructured EHR/EMR data into structured summaries, improving interoperability and clinical efficiency.

Sentiment analysis and behavioral monitoring tools for early intervention in mental health care.

Enables offline patient registration, geo-tagged case management, and multilingual tools for rural clinics and NGO-led health programs.

Forecasts patient inflow, bed occupancy, and ICU demand to optimize hospital operations.

Continuous health monitoring using wearables and IoT devices with AI-driven alerts for chronic disease management.

Patient-facing app integrating prescriptions, appointments, ABHA-linked health records, reminders, and AI insights for care continuity.

Provides campuses with dashboards for wellness, vaccination tracking, sick leave, and real-time alerts to improve student health management.

Automates emergency triage, patient intake, and team coordination with real-time bed and inventory data for faster trauma response.

AI chatbots and copilots for patient triage, appointment booking, and answering routine medical queries.

Performs deep patch-level analysis for conditions like small cell carcinoma with 92%+ confidence in mitotic and morphological features.