FDA AI/ML-enabled medical device authorizations (monthly)
Every AI-enabled medical device on the FDA's published AI-Enabled Medical Devices List as of 2026-09-25 (1,614 authorizations). Each row is one device with its FDA submission number, device name, sponsor (raw + canonical entity-resolved key + corporate family), review pathway (510(k) / De Novo / PMA), medical specialty (FDA panel label), FDA product code, decision date, and a per-row accessdata.fda.gov database link. Sponsors are entity-resolved through a documented rule pipeline (casing/punctuation/corporate-suffix variants merged; conservative corporate-family grouping) and ranked by trailing-12-month clearance velocity (family_rank). Columns: as-of date, submission number, device name, company, canonical company key, sponsor family, family rank, family trailing-12m and lifetime counts, decision date/year/month, review pathway, panel, product code, source URL, row hash. Primary key: submission_number. Cadence: monthly; the as-of date is fixed per run so identical input produces an identical content hash. Caveats: the FDA notes the list is not comprehensive (devices are identified via AI terms in authorization summaries); the panel label 'Clinical Toxcicology' is the FDA's own spelling. Source is U.S. federal public domain (17 U.S.C. 105) — commercial_use = yes. Sample use: filter panel = 'Cardiovascular' for AI cardiology clearances, or order by family_rank for the most active AI-device sponsors.
- Rows
- 1,614
- Columns
- 17
- Source cadence
- Monthly
- Last refreshed
- Sep 25, 2026
- Theme
- health
| Column | Type | Description |
|---|---|---|
| as_of | string | Fixed as-of date of the run (the FDA list retrieval date). Fixed per run so identical input produces an identical content hash. (unit: date) |
| submission_number | string | FDA submission number (e.g. K253628, DEN240012, P230021). The primary key; the prefix encodes the review pathway. (unit: id) |
| device_name | string | Device name as published on the FDA list. |
| company | string | Sponsor company name as published on the FDA list (display form; see company_canonical for the entity-resolved key). |
| company_canonical | string | Deterministic entity-resolved sponsor key: lowercased, parenthetical qualifiers stripped, & -> and, punctuation to spaces, corporate-suffix tokens removed. Merges the list's casing/punctuation/suffix variants of one legal entity. Stable join key. (unit: key) |
| sponsor_family | string | Conservative corporate-family label from anchored prefix rules (Siemens Healthineers, Philips, GE HealthCare, Canon, Fujifilm, Samsung, United Imaging, Medtronic); sponsors matching no rule keep their canonical key. Groups divisions of one corporate group for the velocity leaderboard. (unit: key) |
| family_rank | integer | Sponsor-family velocity rank: families ordered by trailing-365-day clearances, then lifetime total, then name. 1 = most active AI-device sponsor in the trailing year. (unit: rank) |
| family_trailing_12m | integer | Number of the sponsor family's devices on the list with a decision date in the trailing 365 days before as_of. (unit: count) |
| family_total | integer | Lifetime number of the sponsor family's devices on the FDA list. (unit: count) |
| decision_date | string | FDA date of final decision (YYYY-MM-DD). (unit: date) |
| decision_year | integer | Year of the FDA final-decision date. (unit: year) |
| decision_month | string | Month of the FDA final-decision date (YYYY-MM). (unit: month) |
| review_pathway | string | FDA review pathway from the submission prefix: 510(k) (K), De Novo (DEN), PMA (P). |
| panel | string | FDA review panel (lead) — the medical specialty, e.g. Radiology, Cardiovascular. 'Clinical Toxcicology' is the FDA's own spelling, kept verbatim. |
| product_code | string | FDA product code for the device (e.g. QIH). (unit: code) |
| source_url | string | Per-row link to the device's entry in the FDA accessdata database (the submission-number link from the list). (unit: URL) |
| row_hash | string | SHA-256 (16 hex chars) over the row's content fields; identical input yields an identical hash, so a re-run on an unchanged list is a no-op. (unit: hash) |
First 10 sample rows — a preview, not the complete dataset.
| as_of | submission_number | device_name | company | company_canonical | sponsor_family | family_rank | family_trailing_12m | family_total | decision_date | decision_year | decision_month | review_pathway | panel | product_code | source_url | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-09-25 | K253560 | Enhanced Boundary for PCCT | Ge Medical Systems, LLC | ge medical systems | GE HealthCare | 1 | 16 | 109 | 2026-06-24 | 2,026 | 2026-06 | 510(k) | Radiology | JAK | https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K253560 | 1ed24db623429136 |
| 2026-09-25 | K253502 | Critical Care Suite with Enteric Tube Positioning AI Algorithm | Ge Medical Systems, LLC | ge medical systems | GE HealthCare | 1 | 16 | 109 | 2026-04-14 | 2,026 | 2026-04 | 510(k) | Radiology | QIH | https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K253502 | 23a3a86c084eb5b3 |
| 2026-09-25 | K254161 | Automated Aortic Stenosis Software (AutoAS) | GE Medical Systems Ultrasound & Primary Care Diagnostics, LLC | ge medical systems ultrasound and primary care diagnostics | GE HealthCare | 1 | 16 | 109 | 2026-03-27 | 2,026 | 2026-03 | 510(k) | Radiology | POK | https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K254161 | ee59202e1a196e25 |
| 2026-09-25 | K260673 | LOGIQ Vita; LOGIQ Vita Pro; LOGIQ Vita Express; LOGIQ Vita Plus; LOGIQ Vita Power; LOGIQ S20; LOGIQ S20 Pro; LOGIQ S20 Express; LOGIQ S20 Plus; LOGIQ S20 Power | GE Medical Systems Ultrasound and Primary Care Diagnostics | ge medical systems ultrasound and primary care diagnostics | GE HealthCare | 1 | 16 | 109 | 2026-03-24 | 2,026 | 2026-03 | 510(k) | Radiology | IYN | https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K260673 | 4c614de15825494b |
| 2026-09-25 | K253686 | True Definition DL | Ge Healthcare Japan Corporation | ge healthcare japan | GE HealthCare | 1 | 16 | 109 | 2026-03-23 | 2,026 | 2026-03 | 510(k) | Radiology | JAK | https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K253686 | 23fa89d054716f22 |
| 2026-09-25 | K253520 | Photonova Spectra, Photonova Spectra Select | Ge Medical Systems, LLC | ge medical systems | GE HealthCare | 1 | 16 | 109 | 2026-03-20 | 2,026 | 2026-03 | 510(k) | Radiology | JAK | https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K253520 | c0693efe0db32fbc |
| 2026-09-25 | K253780 | SIGNA™ Bolt | Ge Medical Systems, LLC | ge medical systems | GE HealthCare | 1 | 16 | 109 | 2026-02-06 | 2,026 | 2026-02 | 510(k) | Radiology | LNH | https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K253780 | 5b5e1ac37d1645d5 |
| 2026-09-25 | K253779 | SIGNA™ Sprint Select | Ge Medical Systems, LLC | ge medical systems | GE HealthCare | 1 | 16 | 109 | 2026-02-05 | 2,026 | 2026-02 | 510(k) | Radiology | LNH | https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K253779 | a62a70c844085733 |
| 2026-09-25 | K253370 | LOGIQ Totus | GE Medical Systems Ultrasound and Primary Care Diagnostics | ge medical systems ultrasound and primary care diagnostics | GE HealthCare | 1 | 16 | 109 | 2026-01-08 | 2,026 | 2026-01 | 510(k) | Radiology | IYN | https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K253370 | 06f1992fc4cc5e09 |
| 2026-09-25 | K253366 | LOGIQ Fortis | GE Medical Systems Ultrasound and Primary Care Diagnostics | ge medical systems ultrasound and primary care diagnostics | GE HealthCare | 1 | 16 | 109 | 2026-01-07 | 2,026 | 2026-01 | 510(k) | Radiology | IYN | https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K253366 | 207613243902bca9 |
Profiled Sep 25, 2026 from snapshot 20260925T054916Z-3f76557c94c4
Measured- Completeness
- 100%
- Rows
- 1,614
- Columns
- 17
- Columns with gaps
- 0
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| as_ofvarchar | 0% | 1 | — |
|
| submission_numbervarchar | 0% | 1,817 | — |
|
| device_namevarchar | 0% | 1,196 | — |
|
| companyvarchar | 0% | 713 | — |
|
| company_canonicalvarchar | 0% | 698 | — |
|
| sponsor_familyvarchar | 0% | 662 | — |
|
| family_rankbigint | 0% | 688 | 1 → 571median 92 | 17 outside 1st–99th percentile |
| family_trailing_12mbigint | 0% | 12 | 0 → 16median 1 | |
| family_totalbigint | 0% | 24 | 1 → 109median 5 | |
| decision_datevarchar | 0% | 1,102 | — |
|
| decision_yearbigint | 0% | 27 | 1,995 → 2,026median 2,023 | 16 outside 1st–99th percentile |
| decision_monthvarchar | 0% | 201 | — |
|
| review_pathwayvarchar | 0% | 3 | — |
|
| panelvarchar | 0% | 17 | — |
|
| product_codevarchar | 0% | 222 | — |
|
| source_urlvarchar | 0% | 1,356 | — |
|
| row_hashvarchar | 0% | 1,477 | — |
|
- Current
20260925T054916Z-3f76557c94c4 · sha256 3f76557c94c4…
1,614 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/fda_ai_signals/fda_ai_devices_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/fda_ai_signals/fda_ai_devices_monthly").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/fda_ai_signals/fda_ai_devices_monthly
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260925T054916Z-3f76557c94c4 and its content hash, so readers get exactly the data you used.
FDA AI-Enabled Medical Devices List. (2026). FDA AI/ML-enabled medical device authorizations (monthly) [Data set, snapshot 20260925T054916Z-3f76557c94c4, sha256 3f76557c94c4]. Datazimuts. Retrieved 2026-09-25, from https://datazimuts.com/en/datasets/fda_ai_signals/fda_ai_devices_monthly?snapshot=20260925T054916Z-3f76557c94c4
@misc{dz_fda_ai_signals_fda_ai_devices_monthly_3f76557c,
title = {{FDA AI/ML-enabled medical device authorizations (monthly)}},
author = {{FDA AI-Enabled Medical Devices List}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/fda_ai_signals/fda_ai_devices_monthly?snapshot=20260925T054916Z-3f76557c94c4}},
note = {Snapshot 20260925T054916Z-3f76557c94c4, sha256 3f76557c94c4820663a6448df60cb2d93e884761b8f2bce24562cdaa7a29afee; accessed 2026-09-25}
}Embed a table or a chart
Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.
<iframe src="https://datazimuts.com/embed/chart?dataset=fda_ai_signals%2Ffda_ai_devices_monthly&lang=en&theme=auto&snapshot=20260925T054916Z-3f76557c94c4&x=decision_date&y=family_rank&agg=avg" title="FDA AI/ML-enabled medical device authorizations (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
Ask about this dataset. Answers come only from its catalog record, measured profile and change history, and list the facts they used.