Evidence map›Paper›PMID 41596048›Full record

ReviewBioengineering (Basel, Switzerland)2026

Integrating Genomics, Radiomics, and Pathomics in Oncology: A Scoping Review and a Framework for AI-Enabled Surgomics.

Selma Mtoor, Niki Rashidian, Nouredin Messaoudi, Vincent Grasso, Floriane Noel, Michele Steindler, Derar Jaradat, Isabella Frigerio, Giovanni Butturini, Roland Croner and 10 more

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

20 authors.

Selma MtoorDepartment of Biomedical, University Duisburg-Essen, 45141 Essen, Germany.ORCID 0009-0000-2823-1503
Niki RashidianDepartment of General, HPB Surgery and Liver Transplantation, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
Nouredin MessaoudiZiekenhuis Brussel (UZ Brussel) and Europe Hospitals, Laarbeeklaan 101, 1090 Brussels, Belgium.ORCID 0000-0003-2799-2604
Vincent GrassoDepartment of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87106, USA.
Floriane NoelSmart4 Tech Engineering, Sibylone, 75002 Paris, France.
Michele SteindlerSmart4 Tech Engineering, Sibylone, 75002 Paris, France.
Derar JaradatDepartment of Surgery, Medical University of Graz, 8010 Graz, Austria.
Isabella FrigerioDepartment Surgery, HPB Unit, Pederzoli Hospital, Peschiera del Garda, 37019 Verona, Italy.ORCID 0000-0002-7616-4226
Giovanni ButturiniDepartment Surgery, HPB Unit, Pederzoli Hospital, Peschiera del Garda, 37019 Verona, Italy.ORCID 0000-0002-9172-4885
Roland CronerDepartment of General-, Visceral-, Vascular- and Transplantation Surgery, University of Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0001-6248-7086
Karol Rawicz-PruszynskiDepartment of Surgical Oncology, Medical University of Lublin, Radziwiłłowska 13 St., 20-080 Lublin, Poland.ORCID 0000-0002-2555-2114
Giulia CapelliDepartment of Surgery, ASST Bergamo Est, Seriate, 24068 Bergamo, Italy.ORCID 0000-0001-6830-8958
Gaya SpolveratoDepartment of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padova, 35121 Padova, Italy.ORCID 0000-0002-7275-2573
Marc G BesselinkDepartment of Surgery, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, 1105 Amsterdam, The Netherlands.
Takeaki IshizawaDepartment of Hepato-Biliary-Pancreatic Surgery, Graduate School of Medicine, Osaka Metropolitan University, Osaka 545-8585, Japan.ORCID 0000-0002-9534-6973
Elie ChouillardAmerican Hospital of Paris, 55 Bd du Château, 92200 Neuilly-sur-Seine, France.
Mohammad Abu-HilalDepartment of Surgery, School of Medicine, The University of Jordan, Amman 11942, Jordan.ORCID 0000-0002-3162-4639
Ulf KahlertDepartment of General-, Visceral-, Vascular- and Transplantation Surgery, University of Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0002-6021-1841
Ibrahim DagherHôpital Antoine Béclère, Assistance Publique-Hôpitaux de Paris, 157 Rue de la Porte de Trivaux, 92140 Clamart, France.
Andrew A GumbsDepartment of Surgical Oncology, Medical University of Lublin, Radziwiłłowska 13 St., 20-080 Lublin, Poland.ORCID 0000-0002-7044-5318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimodal AI integration across genomics, radiomics, and pathomics is rapidly evolving in oncology, but evidence remains heterogeneous and unevenly distributed across modalities.

objectiveTo map empirical studies integrating two or more -omic modalities, summarize integration and validation approaches, and identify gaps informing future directions toward surgomics.

methodsWe conducted a scoping review in accordance with PRISMA-ScR, searching PubMed, Ovid, Wiley Online Library, and Google Scholar for English-language studies published from January 2020 to 5 March 2025. We charted study characteristics, modalities combined, fusion strategies, AI model categories, validation approaches, and reported performance metrics as presented by the original studies.

resultsFrom 184 records, 11 studies met inclusion criteria (

conclusionsThe mapped evidence indicates growing methodological activity in radiopathomics and cross-scale association modeling, while tri-modal pipelines and clinically deployable multimodal workflows remain underdeveloped. Surgomics is presented as a conceptual, staged roadmap informed by these gaps rather than a current clinical capability.

Indexed as

genomicspathomicspersonalized medicineprecision medicineradiomicssurgomics

Identifiers

PMID41596048
PMCPMC12837547

What OpenQuestion 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 OpenQuestion graph.