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Team Arctic: A PyTorch/TensorFlow dual-AI platform automating bone-age and disease diagnostics. We eliminate clinical delays, empowering doctors to prioritize what matters most: the patient.
PalliSync is a high-impact, A2A orchestration engine designed to ensure a seamless care continuum for rural patients following hospital discharge with safe, asynchronous clinical workflows with NGOs.
An MCP server that tracks differential privacy epsilon budgets for multi-institution healthcare coordination. An A2A agent that orchestrates multi-institution care coordination calls MCP as authority
A2A clinical sentinel watching postop and postpartum patients. Cited guidelines, LLM-enriched, never autonomous.
Five AI agents detect sepsis risk in real time, generate explainable clinical narratives, and deliver prioritized care plans with a tamper-proof audit trail — grounded in live FHIR patient data.
Interoperable, Scalable, and Safe Clinical Decision Support via MCP & A2A
A multi-agent system that automates US healthcare prior authorization. One clinician request, three FHIR-native MCP tools, a complete PA submission in under 30 seconds.
5-tool MCP server plus A2A orchestrator that gives healthcare AI the full mother-baby picture from any FHIR R4 workspace: maternal risk, lab trends, SDOH, ACOG-cited care plans, neonatal impact.
ClearDose uses FHIR data and deterministic clinical safety rules to identify renal dosing risks, dangerous drug interactions, and discharge medication safety concerns.
AI-powered clinical co-pilot that analyzes symptoms, detects risks, and supports early diagnosis using interoperable multi-agent systems.
All-in-one clinical processing suite that equips agents to structure unstructured medical notes, audit hospital discharge compliance, translate technical care plans into plain-language patient guides.
Insighter AI turns live FHIR patient data into an instant clinical snapshot and ready-to-send patient outreach, helping care teams move from chart review to action in seconds.
Specialized clinical agent integrated into the PO ecosystem, leveraging SHARP Extension and A2A Protocol to provide seamless, evidence-based decision support directly within the clinician's workflow.
AI powered system that converts complex insurance policies into clear, structured and decision ready workflows.
Turns stalled referrals into clear next actions.
Complete patient assessment. Zero delay
Catch prescription fraud before it pays out. Rule engine. AI reasoning. Zero tolerance for fraud, waste, and abuse.
The core novel idea: Hospital alerts have ~90% false alarms. SENTINEL adds narrative clinical reasoning to explain why a patient is deteriorating in context—something rules-based systems cannot do.
Eight specialist AI agents. One orchestrator. Every critical ICU moment - from admission to discharge. Handoff, consent, emergencies, medications, family. All covered.
AI medication safety assistant that flags dangerous drug interactions, allergy conflicts, and kidney risks using FHIR data.
FHIR standardized health data. MCP standardized how AI connects to tools. HealthClaw standardizes the security, privacy, and clinical safety guardrails in between.
Six composable medication-safety MCP tools for healthcare AI agents — drug interactions, renal dosing, Beers criteria, reconciliation, clinician notes.
A 4-agent clinical AI system that transforms raw FHIR patient data into verified, safe handoffs in 90 seconds — published on Prompt Opinion with MCP, A2A, and SHARP context support.
FIRE is a deterministic, multi-agent pipeline designed to solve the "Last Mile" of Healthcare AI: recovering lost Medicare revenue.
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