Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation.

Kazerooni AF, Familiar AM, Aboian M, Brüningk SC, Vossough A, Linguraru MG, Huang RY, Hargrave D, Peet AC, Resnick AC, Storm PB, Mirsky D, Yeom KW, Weller M, Prados M, Chang SM, Mueller S, Villanueva-Meyer JE, Bakas S, Fangusaro J, Kann BH, Nabavizadeh A, Response Assessment in Pediatric Neuro-Oncology (RAPNO) group

Open source

DOI: 10.1016/s1470-2045(25)00489-9
Published: 2025 Nov
Container: The Lancet. Oncology
Publisher: Not recorded
Open access: unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1016/s1470-2045-25-00489-9,
  title = {Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation.},
  author = {Kazerooni AF and Familiar AM and Aboian M and Brüningk SC and Vossough A and Linguraru MG and Huang RY and Hargrave D and Peet AC and Resnick AC and Storm PB and Mirsky D and Yeom KW and Weller M and Prados M and Chang SM and Mueller S and Villanueva-Meyer JE and Bakas S and Fangusaro J and Kann BH and Nabavizadeh A and Response Assessment in Pediatric Neuro-Oncology (RAPNO) group},
  year = {2025},
  journal = {The Lancet. Oncology},
  doi = {10.1016/s1470-2045(25)00489-9},
  url = {https://doi.org/10.1016/s1470-2045(25)00489-9}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation.
AU  - Kazerooni AF
AU  - Familiar AM
AU  - Aboian M
AU  - Brüningk SC
AU  - Vossough A
AU  - Linguraru MG
AU  - Huang RY
AU  - Hargrave D
AU  - Peet AC
AU  - Resnick AC
AU  - Storm PB
AU  - Mirsky D
AU  - Yeom KW
AU  - Weller M
AU  - Prados M
AU  - Chang SM
AU  - Mueller S
AU  - Villanueva-Meyer JE
AU  - Bakas S
AU  - Fangusaro J
AU  - Kann BH
AU  - Nabavizadeh A
AU  - Response Assessment in Pediatric Neuro-Oncology (RAPNO) group
PY  - 2025
JO  - The Lancet. Oncology
DO  - 10.1016/s1470-2045(25)00489-9
UR  - https://doi.org/10.1016/s1470-2045(25)00489-9
ER  -

APA

AF, K., AM, F., M, A., SC, B., A, V., MG, L., RY, H., D, H., AC, P., AC, R., PB, S., D, M., KW, Y., M, W., M, P., SM, C., S, M., JE, V., S, B., J, F., BH, K., A, N., & group, R. A. I. P. N. (. (2025). Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation.. The Lancet. Oncology. https://doi.org/10.1016/s1470-2045(25)00489-9

Source records

pubmed · retrieved 2026-09-25T15:04:51.182Z