Evidence map›Paper›PMID 38558354›Full record

ArticleAnnals of biomedical engineering2024

Concerns with OpenAI's Sora in Medicine.

Ethan Waisberg, Joshua Ong, Mouayad Masalkhi, Andrew G Lee

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The first birthday of OpenAI's Sora: A promising but cautious future in medicine.International journal of surgery (London, England) · 2025
    Article
  5. Application of transformer architectures in generative video modeling for neurosurgical education.International journal of computer assisted radiology and surgery · 2025
    Article
  6. Review
  7. 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

4 authors.

Ethan WaisbergDepartment of Ophthalmology, University of Cambridge, Cambridge, UK. ew690@cam.ac.uk.ORCID http://orcid.org/0000-0001-8999-0212
Joshua OngDepartment of Ophthalmology and Visual Sciences, University of Michigan Kellogg Eye Center, Ann Arbor, MI, USA.
Mouayad MasalkhiCenter for Space Medicine, Baylor College of Medicine, Houston, TX, USA.
Andrew G LeeDepartment of Ophthalmology, Blanton Eye Institute, Houston Methodist Hospital, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Open AI's Sora represents a ground-breaking innovation in AI that can generate lifelike and imaginative visual scenes based on text prompts. However, Sora has also produced some new concerns surrounding artificial video generation in medicine. While Sora is highly promising to enhance patient education, facilitate remote consultations and simulate surgical procedures, AI-generated videos also bring technical, legal, and ethical challenges. In this paper, we explore the clinical and ethical implications of Sora's AI-generated videos in the field of medicine.

Indexed as

Artificial IntelligenceHumansVideo RecordingArtificial video generationGenerative AILarge language modelsLLMNLP

Identifiers

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.