Evidence map›Paper›PMID 38672968›Full record

ArticleJournal of personalized medicine2024

The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey.

Caterina Giannitto, Giorgia Carnicelli, Stefano Lusi, Angela Ammirabile, Elena Casiraghi, Armando De Virgilio, Andrea Alessandro Esposito, Davide Farina, Fabio Ferreli, Ciro Franzese and 12 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

22 authors at 8 institutions in 3 countries.

Caterina GiannittoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0001-7894-9441
Giorgia CarnicelliDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0001-8738-5561
Stefano LusiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0001-9650-493X
Angela AmmirabileDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0002-3724-053X
Elena CasiraghiDepartment of Computer Science "Giovanni degli Antoni", University of Milan, Via Celoria 18, 20133 Milan, Italy.ORCID 0000-0003-2024-7572
Armando De VirgilioDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
Andrea Alessandro EspositoDepartment of Diagnostic Radiology, ASST Bergamo Ovest, 24047 Treviglio, Italy.
Davide FarinaDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia ASST Spedali Civili of Brescia, 25123 Brescia, Italy.ORCID 0000-0003-4075-0001
Fabio FerreliDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0003-2066-9572
Ciro FranzeseDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0001-6893-6284
Gian Marco FrigerioDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
Antonio Lo CastoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University Hospital of Palermo, 90127 Palermo, Italy.
Luca MalvezziDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0002-5385-9818
Luigi LoriniDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
Ahmed E OthmanDepartment of Neuroradiology, University Medical Center Mainz, 55131 Mainz, Germany.
Lorenzo PredaRadiology Unit, Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-5479-2766
Marta ScorsettiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
Paolo BossiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
Giuseppe MercanteDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0002-1009-7892
Giuseppe SprianoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
Luca BalzariniDepartment of Diagnostic and Interventional Radiology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy.
Marco FranconeDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
Humanitas University · ITAzienda Ospedaliera Treviglio · ITIRCCS Humanitas Research Hospital · ITJohannes Gutenberg University Mainz · DELawrence Berkeley National Laboratory · USUniversity of Brescia · ITUniversity of Palermo · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) approaches have been introduced in various disciplines but remain rather unused in head and neck (H&N) cancers. This survey aimed to infer the current applications of and attitudes toward AI in the multidisciplinary care of H&N cancers. From November 2020 to June 2022, a web-based questionnaire examining the relationship between AI usage and professionals' demographics and attitudes was delivered to different professionals involved in H&N cancers through social media and mailing lists. A total of 139 professionals completed the questionnaire. Only 49.7% of the respondents reported having experience with AI. The most frequent AI users were radiologists (66.2%). Significant predictors of AI use were primary specialty (V = 0.455;

Indexed as

artificial intelligencediagnostic accuracyhead and neck cancersmultidisciplinary caresurvey

Identifiers

PMID38672968
PMCPMC11050769
OpenAlexW4393148092

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.