{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:48:50Z","timestamp":1784137730485,"version":"3.55.0"},"reference-count":22,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2023,8,17]],"date-time":"2023-08-17T00:00:00Z","timestamp":1692230400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62202416"],"award-info":[{"award-number":["62202416"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62162068"],"award-info":[{"award-number":["62162068"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2023,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>The utility efficiency of medical devices is important, especially for countries such as China, which have a large population and shortage of medical care resources. Radiotherapy devices are among the most valuable and specialized equipment categories and carry enormous treatment loads. In this study, a novel method is proposed to improve the efficiency of a radiotherapy device (linac). Although scheduling management with accurate prediction of the entire treatment time included in each appointment, arrange a reasonable time duration for appointments and save time between patient shifts effectively. Tasks belonging to the treatment and non\u2010treatment groups can be assigned more flexibly based on the availability of time.<\/jats:p><\/jats:sec><jats:sec><jats:title>Material and methods<\/jats:title><jats:p>Data from 1665 patients, including patient positioning time (PT) and treatment time (TT), were collected in collaboration with the Radiotherapy Center of the Department of Oncology at the Second Affiliated Hospital of Kunming Medical University from November 2020 to August 2021. The features related to PT and TT were extracted and used to train the machine learning\u2010based model to predict PT and TT in independent patients. The prediction results were subsequently applied to a minute\u2010based scheduling tool.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Artificial intelligence is a promising approach to solve abstract problems with a specialized knowledge background. The results of this study show encouraging prediction outcomes in relation to effective scheduling management and could improve the efficiency of the linac. This successful trial broadens the meaning of medical data and potential future research directions in radiotherapy.<\/jats:p><\/jats:sec>","DOI":"10.1002\/acm2.14076","type":"journal-article","created":{"date-parts":[[2023,8,19]],"date-time":"2023-08-19T04:49:34Z","timestamp":1692420574000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Machine learning\u2010based radiotherapy time prediction and treatment scheduling management"],"prefix":"10.1002","volume":"24","author":[{"given":"Lisiqi","family":"Xie","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering Yunnan University Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering Yunnan University Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kangjian","family":"He","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering Yunnan University Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Tian","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology The Second Affiliated Hospital of Kunming Medical University Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,8,17]]},"reference":[{"key":"e_1_2_9_2_1","volume-title":"World Cancer Report 2020: Cancer Research for Cancer Prevention","author":"Wild CP"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/acm2.13516"},{"key":"e_1_2_9_4_1","first-page":"321","article-title":"Survey on the basic information of personnel and facilities of radiotherapy in Chinese mainland in 2019","volume":"29","author":"Ye YJLZ","year":"2020","journal-title":"China Cancer"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(15)00222-3"},{"key":"e_1_2_9_6_1","unstructured":"Redionala cancercentrum i samverkan.Standardiserade v\u00e5rdf\u00f6rlopp i cancerv\u00e5rden (Eng: Standardized Patient Care Pathways for Cancer Care). 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