Evidence map›Paper›PMID 40941003›Full record

ReviewCancers2025

Integrating Radiomics and Artificial Intelligence (AI) in Stereotactic Body Radiotherapy (SBRT)/Stereotactic Radiosurgery (SRS): Predictive Tools for Tailored Cancer Care.

Ilaria Morelli, Marco Banini, Daniela Greto, Luca Visani, Pietro Garlatti, Mauro Loi, Michele Aquilano, Marianna Valzano, Viola Salvestrini, Niccolò Bertini and 4 more

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Lanthanide Nanotheranostics in Radiotherapy.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. 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

14 authors.

Ilaria MorelliOncology Unit, Santa Maria delle Croci Hospital, AUSL della Romagna, 48121 Ravenna, Italy.ORCID 0000-0002-4787-6902
Marco BaniniRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.ORCID 0000-0002-8083-4069
Daniela GretoRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.ORCID 0000-0002-2667-0841
Luca VisaniRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.ORCID 0000-0002-7079-231X
Pietro GarlattiRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.
Mauro LoiRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.
Michele AquilanoRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.ORCID 0000-0001-9460-6406
Marianna ValzanoRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.
Viola SalvestriniRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.
Niccolò BertiniRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.ORCID 0009-0006-1053-6265
Andrea LastrucciDepartment of Allied Health Professions, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy.ORCID 0000-0002-3600-9213
Stefano TamberiOncology Unit, Santa Maria delle Croci Hospital, AUSL della Romagna, 48121 Ravenna, Italy.
Lorenzo LiviRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.
Isacco DesideriRadiation Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.ORCID 0000-0002-9880-8387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceoutcomes predictionstereotactic body radiotherapystereotactic radiosurgerytreatment toxicity

Identifiers

PMID40941003
PMCPMC12428336

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.