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A multi-agent safety net for incidental imaging findings, because 1 in 5 follow-ups never happen, and no rule engine can read a visit note to know why.
Prevent the diagnostic harm that begins the moment a follow-up falls silent.
AI-powered clinical gap detection that finds the diagnoses hiding in your charts, so no condition goes uncoded and no revenue goes uncaptured.
An AI chief-of-staff for hospital physicians, a proactive PromptOpinion agent that delivers a prioritized morning briefing of every patient on the doctor's panel, before the commute is over.
Fragmented charts cost lives. NEST saves mothers and newborns by orchestrating 5 AI agents that synthesize complex FHIR data into a unified, evidence-backed discharge control panel.
A2A federation that decomposes one clinical prompt into a multi-specialist consultation: 16 sub-agents, 257 workflows, narrated dispatch, calibrated abstention as a posture, real HTTP between agents.
A FHIR-native multi-agent AI system that detects why dental patients stop coming in and automatically generates personalized re-engagement plans, orchestrated across five specialized A2A agents.
Automates discharge coordination — reads clinical notes, validates CMS rules, and generates Standard Written Orders in seconds instead of hours.
**India's AI-generated perioperative informed consent in Hindi — patient-specific, clinically grounded, and built for the real communication gap in Indian surgical care.**
Transforms clinical notes, discharge summaries, and referrals into validated FHIR R4 resources with RxNorm, ICD-10, and LOINC grounding, clinician review, interactive edits, and approval-before-write.
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.
The safety net between overnight and attending rounds. 4 AI agents catch deterioration, flag unsafe doses, generate I-PASS handoffs, and produce bilingual parent summaries from live FHIR R4 data.
Orchestration that uses A2A agents to synthesize unstructured FHIR pathology & radiology data into instant Tumor Board briefs. We eliminate hours of manual prep to accelerate cancer treatment.
AI-powered multilingual healthcare assistant that analyzes injury images, provides first-aid guidance, estimates severity, and helps users locate nearby hospitals instantly.
Bridging the Gap Between Clinical Intent and Actionable Care.
Companion is a culturally-aware multi-agent healthcare AI that supports patients and caregivers through diagnosis, treatment decisions, recovery, and home care.
AI-Governed Healthcare Operations, Built for Human Care — Reducing Referral Delays with Healthcare AI You Can Audit and Trust
CareTrace turns fragmented medical records into a unified patient timeline with structured FHIR output, risk detection, and AI-generated clinical summaries for faster care decisions.
27-tool AI safety agent that screens patients using FHIR records, 14 deterministic clinical knowledge bases, and cross-model verification — zero hallucination guaranteed.
FHIR-native longitudinal clinical intelligence platform using MCP reasoning and interoperable specialist agents for proactive, preventative healthcare decision support.
Medication-aware lab triage that turns abnormal results into clinician-review action packets using FHIR, MCP, trends, and medication interactions.
Cuts 30-minute prior auth prep to 2 minutes. AI agents orchestrate Da Vinci CRD/DTR/PAS with GenAI clinical writing and automated denial appeals. Built on Claude + MCP.
Longevity Copilot is a multi-agent clinical brain for longevity, functional, and concierge medicine. One chat replaces a dozen tools and gives the clinician real grounded answers in seconds.
15-minute chart review in 30 seconds — every claim cited to its source.
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