FormatsCSV / JSON / XLSX RefreshVersioned releases after source verification Version1.1.0 VerifiedOctober 8, 2026

This release turns separate healthcare AI records into a market map you can actually join. Start with an FDA clearance, follow its applicant and device class, connect it to a company profile when the source supports the match, then move into specialties and research citations.

A packaged healthcare AI research set

The release contains 295 normalized clearance records that were verified for this product on October 8, 2026. It is a curated package, not a claim to reproduce every entry on the FDA website. The FDA says its public AI-enabled medical device list is updated periodically and is not comprehensive.

What version 1.1 connects

Stable IDs connect clearances to 126 normalized applicant identities and 25 canonical device classes. The relationship layer adds 295 device joins and 192 citation-to-topic joins without guessing at company matches.

The package is useful for market research, data products, retrieval systems, and editorial work. It does not contain patient data, medical advice, clinical outcome claims, or live market prices.

Use the healthcare datasets for machine learning guide to decide whether your project needs this market map, the Healthcare Search Dataset, or a credentialed clinical source.

Designed For

  • healthcare AI market maps
  • FDA clearance research
  • company and product intelligence
  • nonclinical AI research systems

Coverage

Packaged rows1,191 across eleven connected tables
Unique entities704 with stable namespaced IDs
FDA clearances295 unique records across 25 canonical device classes
Relationship layer295 device joins and 192 citation-to-topic joins
Manufacturer layer126 normalized FDA applicant identities
Market records35 companies and 6 specialties
Research layer189 unique research citations connected to 8 topics by 192 joins
Career layer10 learning programs and 10 career roles
Field Dictionary

Schema Preview

FieldTypeDescriptionExample
k_numberstringFDA 510(k) clearance numberK243400
device_namestringCleared device nameAI-assisted imaging device
product_codestringFDA product codeQIH
decision_datedateFDA decision date2025-01-31
company_structurestringCurated company ownership structurepublic company
applicant_idstringStable normalized FDA applicant identifiermanufacturer:aidoc-medical-ltd
relationship_idstringStable identifier for one explicit cross-table relationshiprelationship:k243400:computed-tomography-x-ray-system-qih
company_link_statusstringStates whether the record has a source-supplied curated company linklinked_curated_company
quality_flagsstringDefined data-quality notes or nonenone
source_urlurlOriginating FDA, Europe PMC, or official sourcehttps://www.accessdata.fda.gov/
last_verifieddateMost recent record verification date2026-10-08

Collection And Preparation

  • Normalize FDA 510(k) records by clearance number, device class, product code, applicant, specialty, decision date, and source URL, then assign stable namespaced IDs.
  • Publish an explicit relationship table that connects each clearance to its manufacturer, canonical device class, specialty, and source-linked company for immediate cross-table analysis.
  • Keep 126 normalized applicant identities separate from the 35 curated company profiles. A company link is added only when the source provides a matching vendor slug.
  • Connect company profiles to factual market access fields while excluding share prices, market capitalization, and other time-sensitive quote data.
  • Retain research citation facts and source links while excluding article abstracts from the commercial release.
  • Fold one older SFH source class into the newer verified class with its original slug and title retained as aliases.
  • Preserve source URLs and verification dates so each record can be checked against its originating record.

Known Limits

  • The release contains no patient records, protected health information, claims, diagnoses, treatment outcomes, or clinical predictions.
  • FDA clearance does not establish clinical performance for a specific patient or use case.
  • Research citations support discovery. Buyers should read the linked papers before drawing conclusions.
  • Company and security relationships can change after the stated verification date.

Useful Applications

  • connect FDA clearances to device classes and applicants
  • map healthcare AI companies and public market relationships
  • compare specialties by clearance and device class coverage
  • seed retrieval systems with sourced nonclinical records
  • link research citations to healthcare AI subject groups

Change Log

  • Clarified that the 295 clearance records are a verified packaged subset and linked the official FDA list and dataset selection guide.
  • Published version 1.1.0 with 704 unique entities, 487 explicit relationships, normalized manufacturer identities, deduplicated research citations, stable IDs, provenance status, quality flags, and a corrected device-class alias.
  • Published version 1.0.0 with 583 verified records, public samples, a complete codebook, and source links.