A generalizable application framework for segmentation, regression, and classification using PyTorch
Spatial Multiomics Profiler for Spatial Characterization of Tissue Microenvironment (https://smprofiler.io)
Workflow-centred open-source fully automated lung volumetry in chest CT.
Voice-activated AI medical records assistant using Agno multi-agent framework. Natural language EMR interaction with speech recognition, FHIR-compatible patient chart management & clinical workflow orchestration via FastAPI.
Bridging the gap between theory and bedside practice through open-access, physiologically-weighted, evidence based, decision support tools for anesthesia and intensive care.
Open-source web app that turns patient pre-visit intake into a structured, doctor-friendly summary/PDF (local-first; no diagnosis/treatment/triage).
Rhythmologicum Connect: Next.js + Supabase platform for patient stress/resilience intake, clinician review workflows, and CRE safety/monitoring operations.
A thought experiment for healthcare AI: a session-bound clinical reasoning system that can read charts but is architecturally incapable of writing, storing, or remembering medical records.
Enhance small medical object segmentation with CaraNet, a cutting-edge context axial reverse attention network designed for precise and efficient analysis.
Administrative decision-support system for prior authorization readiness. Deterministic, rules-first evaluation of documentation completeness with refusal semantics, full auditability, and write-only AI letter drafting. Built for safety, transparency, and regulated healthcare workflows.
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