Evidence map›Paper›PMID 35849792›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2022

A Process Framework for Ethically Deploying Artificial Intelligence in Oncology.

Andrew Hantel, Dillon D Clancy, Kenneth L Kehl, Jonathan M Marron, Eliezer M Van Allen, Gregory A Abel

Abstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework.Journal of the American Medical Informatics Association : JAMIA · 2023
    Review
  15. Article
  16. Article
  17. Adaptive Cancer Therapy in the Age of Generative Artificial Intelligence.Cancer control : journal of the Moffitt Cancer Center
    Review
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

6 authors.

Andrew HantelDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-9612-3643
Dillon D ClancyDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-3299-6215
Kenneth L KehlDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-5339-9797
Jonathan M MarronDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-8935-8524
Eliezer M Van AllenDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-0201-4444
Gregory A AbelDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-1100-2813

Funding

Deep clinical trajectory modeling to optimize accrual to cancer clinical trialsR00CA245899 · NCI · DANA-FARBER CANCER INST · PI KEHL, KENNETH L · 2022 to 2024
$747k
NCI NIH HHS R00 CA245899
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceRadiation OncologyHumansMedical Oncology

Identifiers

PMID35849792
PMCPMC9746763

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.