Evidence map›Paper›PMID 34142090›Full record

ArticleRadiology. Artificial intelligence2021

Who Will Pay for AI?

Melissa M Chen, Lauren Parks Golding, Gregory N Nicola

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Artificial intelligence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Avoiding missed opportunities in AI for radiology.International journal of computer assisted radiology and surgery · 2024
    Article
  17. Review
  18. Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Melissa M ChenDepartment of Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1482, Houston, TX 77030 (M.M.C.); Triad Radiology, Winston-Salem, NC (L.P.G.); and Hackensack Radiology, Hackensack, NJ (G.N.N.).ORCID https://orcid.org/0000-0002-3274-2653
Lauren Parks GoldingDepartment of Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1482, Houston, TX 77030 (M.M.C.); Triad Radiology, Winston-Salem, NC (L.P.G.); and Hackensack Radiology, Hackensack, NJ (G.N.N.).
Gregory N NicolaDepartment of Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1482, Houston, TX 77030 (M.M.C.); Triad Radiology, Winston-Salem, NC (L.P.G.); and Hackensack Radiology, Hackensack, NJ (G.N.N.).ORCID https://orcid.org/0000-0003-3959-2069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2020, the largest U.S. health care payer, the Centers for Medicare & Medicaid Services (CMS), established payment for artificial intelligence (AI) through two different systems in the Medicare Physician Fee Schedule (MPFS) and the Inpatient Prospective Payment System (IPPS). Within the MPFS, a new Current Procedural Terminology code was valued for an AI tool for diagnosis of diabetic retinopathy, IDx-RX. In the IPPS, Medicare established a New Technology Add-on Payment for Viz.ai software, an AI algorithm that facilitates diagnosis and treatment of large-vessel occlusion strokes. This article describes reimbursement in these two payment systems and proposes future payment pathways for AI.

Identifiers

PMID34142090
PMCPMC8166111

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.