Evidence map›Paper›PMID 38401979›Full record

ArticleInternational journal of radiation oncology, biology, physics2024

Toward Clinical-Grade Evaluation of Large Language Models.

Amy C Moreno, Danielle S Bitterman

Abstract readEditorialComment
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Guideline
  2. Article
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  7. Review
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  9. Article
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  12. Review
  13. Improving Patient Engagement: Is There a Role for Large Language Models?International journal of radiation oncology, biology, physics · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Amy C MorenoDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas.
Danielle S BittermanDepartment of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Massachusetts. Electronic address: dbitterman@bwh.harvard.edu.

Funding

Shared Resource Core 2: Clinical Artificial Intelligence CoreU54CA274516 · NCI · DANA-FARBER CANCER INST · PI David Kozono · 2023 to 2026
$8.1M
Provider and Patient-generated Remote Oro-Dental Health Electronic Data Capture for Algorithmic Longitudinal Evaluation and Risk-Assessment (PROHEALER)K01DE030524 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MORENO, AMY CATHERINE · 2022 to 2024
$479k
Radiation-specific Automated Dental Dose Distributions via Machine-learning based Mapping for Accurate Predictions of (Peri)odontal Problems (RADMAP)R21DE031082 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MORENO, AMY CATHERINE · 2021 to 2022
$452k
NCI NIH HHS U54 CA274516NIDCR NIH HHS K01 DE030524NIDCR NIH HHS R21 DE031082
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Brain NeoplasmsLanguageHumans

Identifiers

PMID38401979
PMCPMC11221761

What OpenQuestion holds

Textmetadata
LicenceTDM
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.