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Research Intelligence

Tracking health AI across its entire lifecycle — from scientific discovery through clinical validation, regulatory clearance, and market adoption.

Explore by Stage

Follow health AI through each stage of the innovation lifecycle — from lab bench to bedside billing.

STAGE 1
Science & Discovery
Publications, preprints, NIH grants, people & institutions
…
publications
STAGE 2
Clinical Validation
Trials, results, and status monitoring
…
clinical trials
STAGE 3
Regulatory Clearance
FDA authorizations, recalls, adverse events
…
FDA AI devices
STAGE 4
Market Adoption
Reimbursement, contracts, public companies
…
Medicare services

Explore by Category

Cross-lifecycle intelligence for each clinical area — publications, trials, FDA devices, and market signals in one view.

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Explore All Data

Browse each underlying database directly.

Published Research

PubMed-indexed health AI publications

Preprints

bioRxiv, medRxiv & arXiv preprints

Federal Funding

NIH Reporter grants for health AI

Clinical Trials

ClinicalTrials.gov AI trial registry

FDA AI Device Clearances

510(k), De Novo & PMA authorizations

Safety & Recalls

FDA device recalls & enforcement

Adverse Events

MAUDE reports for AI product codes

AI Reimbursement Codes

CPT/HCPCS codes & Medicare utilization

Government Contracts

USAspending health AI awards

Public Companies

SEC financials for health AI companies

Ask HAILEY™

Coming Soon

Meet HAILEY™ — our AI-powered deep research assistant. Ask questions in plain English and get cited answers drawn from every database above — publications, trials, FDA devices, reimbursement, contracts, and company financials.

e.g., “Which cardiology AI devices cleared by the FDA in 2025 already have reimbursement codes?”

How This Data Is Built

Learn how we collect, filter, and categorize every publication, trial, device, and market signal — including our 30-area clinical taxonomy and MeSH-based attribution method.

View Methodology

Data Accuracy Notice: Research intelligence on HealthAI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.