Health AI lifecycle intelligence

Follow health AI from discovery to adoption.

Explore the public records behind health AI research, clinical validation, regulatory clearance, and real-world adoption—then inspect the sources and methodology behind every view.

Explore the lifecycle How the data is built

…publicationsPubMed · NIH RePORTER · preprint archives

…clinical trialsClinicalTrials.gov

…FDA AI devicesFDA · FDA MAUDE

…Medicare servicesCMS · USAspending · SEC

Evidence lifecycle

Start with the question, then move through the record.

The four stages establish different things. Each keeps its named public source system, current evidence measure, and destination visible.

Science & Discovery

Research, preprints, grants, people, and institutions

PubMed · NIH RePORTER · preprint archives

…publications02

Clinical Validation

Trial records, results, and status monitoring

ClinicalTrials.gov

…clinical trials03

Regulatory Clearance

Authorizations, recalls, and adverse events

FDA · FDA MAUDE

…FDA AI devices04

Market Adoption

Reimbursement, utilization, contracts, and public companies

CMS · USAspending · SEC

…Medicare services

02 · How to read the platform

Evidence is organized by source and stage—not by claim strength alone.

Each record retains its primary-source destination, update context, and known limitations. Derived measures are separated from the underlying record so readers can inspect before relying on a summary.

Read methodology Review data notice

Clinical-area intelligence

Follow a specialty across every stage.

Each view assembles publications, trials, regulatory records, and market signals in a consistent research frame.

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Data availability stays visible.

If a clinical-area response is temporarily unavailable, the lifecycle and methodology remain available rather than collapsing the hub.

Browse clinical-area records

Source index

Go directly to the underlying records.

Every source view identifies the public system it draws from so readers can inspect the record before relying on a summary.

Published Research

PubMed-indexed health AI publications

Source: PubMed 02

Preprints

Early research from bioRxiv, medRxiv, and arXiv

Source: Preprint archives 03

NIH Research Grants

Federal research-grant records linked to health AI

Source: NIH RePORTER 04

Clinical Trials

Health AI trials, status, and reported results

Source: ClinicalTrials.gov 05

FDA AI Devices

510(k), De Novo, and PMA device authorizations

Source: FDA 06

Safety & Recalls

Device safety actions and enforcement records

Source: FDA 07

Adverse Events

MAUDE reports for AI-related product codes

Source: FDA MAUDE 08

AI Reimbursement

CPT and HCPCS codes with Medicare utilization

Source: CMS 09

Government Contracts

Public awards associated with health AI

Source: USAspending 10

Public Companies

Public-company information and SEC financials

Source: SEC

05 · Method and assistance

Keep the source, method, and next question in view.

Review collection, filtering, taxonomy, attribution, and the limits of automated classification. Critical data points should always be checked against the primary source.

Read the research methodology Review data notice

Research assistance · coming soon

Ask HAILEY™

A cited research assistant designed to help readers move across the connected source index without hiding the underlying record.

Preview the research assistant

Data Accuracy Notice: Research intelligence on Health AI 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.