{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T14:10:27Z","timestamp":1738246227787,"version":"3.34.0"},"reference-count":9,"publisher":"PAGEPress Publications","license":[{"start":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T00:00:00Z","timestamp":1738195200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Eur J Transl Myol"],"abstract":"<jats:p>We invariably hear that Artificial Intelligence (AI), a rapidly evolving technology, does not just creatively assemble known knowledge. We are told that AI learns, processes and creates, starting from fixed points to arrive at innovative solutions. In the case of scientific work, AI can generate data without ever having entered a laboratory, (i.e., blatantly plagiarizing the existing literature, a despicable old trick). How does an editor of a scientific journal recognize when she or he is faced with something like this? The solution is for editors and referees to rigorously evaluate the track records of submitting authors and are doing. For example, false color evaluations of 2D and 3D CT and MRI images have been used to validate functional electrical stimulation for degenerated denervated muscle and a home Full-Body In-Bed Gym program. These have been recently published in Ejtm and other journals. The editors and referees of Ejtm can exclude the possibility that the images were invented by ChatGPT. Why? Because they know the researchers: Marco Quadrelli, Aldo Morra, Daniele Coraci, Paolo Gargiulo and their collaborators as well! Artificial intelligence is not banned by the EJTM, but when submitting their manuscripts to previous and to a new Thematic Section dedicated to AI in Translational Mobility Medicine authors must openly declare whether they have used artificial intelligence, of what type and for what purposes. This will not avoid risks of plagiarism or worse, but it will better establish possible liabilities.<\/jats:p>","DOI":"10.4081\/ejtm.2025.13670","type":"journal-article","created":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T13:44:18Z","timestamp":1738244658000},"source":"Crossref","is-referenced-by-count":0,"title":["Ejtm3 experiences after ChatGPT and other AI approaches: values, risks, countermeasures"],"prefix":"10.4081","author":[{"given":"Giorgio","family":"Fan\u00f2-Illic","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniele","family":"Coraci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria Chiara","family":"Maccarone","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Masiero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Quadrelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aldo","family":"Morra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0159-3245","authenticated-orcid":false,"given":"Barbara","family":"Ravara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amber","family":"Pond","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Riccardo","family":"Forni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Gargiulo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2549","published-online":{"date-parts":[[2025,1,30]]},"reference":[{"key":"164272","unstructured":"AI in Medicine: The New England Journal of Medicine 2024. https:\/\/www.nejm.org\/ai-in-medicine"},{"key":"164273","doi-asserted-by":"crossref","unstructured":"Coraci D, Maccarone MC, Regazzo G, et al. ChatGPT in the development of medical questionnaires. The example of the low back pain. Eur J Transl Myol 2023;33:12114.","DOI":"10.4081\/ejtm.2023.12114"},{"key":"164274","doi-asserted-by":"crossref","unstructured":"Quadrelli M, Baccaglini T, Morra A. Quantitative 3D-CT imaging of sarcopenia mitigation in the elderly: evidence from a case report. Eur J Transl Myol 2024;34:12715.","DOI":"10.4081\/ejtm.2024.12715"},{"key":"164275","doi-asserted-by":"crossref","unstructured":"Forni R, Gargiulo P, Boretti G, et al. The Impact of Persevering Home Full-Body In-Bed Gym Exercise on Body Muscles in Aging: A Case Report by Quantitative Radio-Densitometric Study Using 3D and 2D Color CT. Diagnostics (Basel) 2024;14:2808.","DOI":"10.3390\/diagnostics14242808"},{"key":"164276","doi-asserted-by":"crossref","unstructured":"Khatun Z, J\u00f3nsson H Jr, Tsirilaki M, et al. Beyond pixel: Superpixel-based MRI segmentation through traditional machine learning and graph convolutional network. Comput Methods Programs Biomed 2024;256:108398.","DOI":"10.1016\/j.cmpb.2024.108398"},{"key":"164277","doi-asserted-by":"crossref","unstructured":"Ricciardi C, Ponsiglione AM, Recenti M, et al. Development of soft tissue asymmetry indicators to characterize aging and functional mobility. Front Bioeng Biotechnol 2023;11:1282024.","DOI":"10.3389\/fbioe.2023.1282024"},{"key":"164278","doi-asserted-by":"crossref","unstructured":"Edmunds KJ, Okonkwo OC, Sigurdsson S, et al. Soft tissue radiodensity parameters mediate the relationship between self-reported physical activity and lower extremity function in AGES-Reykjav\u00edk participants. Sci Rep 2021;11:20173.","DOI":"10.1038\/s41598-021-99699-7"},{"key":"164279","doi-asserted-by":"crossref","unstructured":"Carraro U, Alberty MS, Anton S, et al. Mobility Medicine: A call to unify hyper-fragmented specialties by abstracts sent to 2025Pdm3, and typescripts to Ejtm3, and Diagnostics. Eur J Transl Myol 2024;34:13432.","DOI":"10.4081\/ejtm.2024.13432"},{"key":"164280","unstructured":"Francesca Rossi Intelligenza artificiale: Come funziona e dove ci porta la tecnologia che sta trasformando il mondo. Edizione digitale: Ottobre 2024. Realizzato da Graphiservice s.r.l. \u2013 Bari (Italy) per conto di Gius. Laterza & Figli Spa ISBN 9788858156957"}],"container-title":["European Journal of Translational Myology"],"original-title":[],"link":[{"URL":"https:\/\/www.pagepressjournals.org\/bam\/article\/download\/13670\/12788","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.pagepressjournals.org\/bam\/article\/download\/13670\/12788","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T13:44:27Z","timestamp":1738244667000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.pagepressjournals.org\/bam\/article\/view\/13670"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,30]]},"references-count":9,"URL":"https:\/\/doi.org\/10.4081\/ejtm.2025.13670","relation":{},"ISSN":["2037-7460","2037-7452"],"issn-type":[{"value":"2037-7460","type":"electronic"},{"value":"2037-7452","type":"print"}],"subject":[],"published":{"date-parts":[[2025,1,30]]}}}