The application of artificial intelligence technology in the diagnosis and treatment of pituitary adenoma.
Previous selection of diagnosis and treatment methods of pituitary adenoma are mainly based on the clinical experience of neurosurgeons, so the prognosis of patients mainly depends on the diagnosis and treatment level of doctors. In recent years, with the development and progress of artificial intel...
| Publicado en: | Chinese Journal of Contemporary Neurology & Neurosurgery Vol. 20; no. 3; pp. 148 - 153 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Chinese Journal of Contemporary Neurology & Neurosurgery
Mar2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142487123&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142487123 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16726731 FDQ6 jtl: Chinese Journal of Contemporary Neurology & Neurosurgery issn: 16726731 maglogo: N pubinfo: dt: Mar2020 vid: 20 iid: 3 pid: 80951 pub: Chinese Journal of Contemporary Neurology & Neurosurgery artinfo: ui: 142487123 10.3969/j.issn.1672-6731.2020.03.003 142487123 ppf: 148 ppct: 5 formats: fmt: @attributes: type: P tig: atl: The application of artificial intelligence technology in the diagnosis and treatment of pituitary adenoma. aug: au: ZHANG Wen-tai FAN Yang-hua WANG He WANG Ren-zhi affil: Department of Neurosurgery, Pituitary Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China sug: subj: Adenoma, Pituitary Diagnosis Adenoma, Pituitary Therapy Artificial Intelligence Methods Technology Cancer Patients Patient Care Physicians Education Outcomes (Health Care) Evaluation Artificial Intelligence Evaluation Research, Medical Medical Practice, Research-Based ab: Previous selection of diagnosis and treatment methods of pituitary adenoma are mainly based on the clinical experience of neurosurgeons, so the prognosis of patients mainly depends on the diagnosis and treatment level of doctors. In recent years, with the development and progress of artificial intelligence technology such as machine learning and radiomics, clinicians can make diagnosis and treatment plans with the help of machines, so as to achieve more consistent diagnostic accuracy and better efficacy. This paper summarizes the application of artificial intelligence in the diagnosis and treatment of pituitary adenoma, so as to provide references for clinicians to understand various methods of artificial intelligence technology, and to comprehensively evaluate its advantages and disadvantages, so as to make rational use of it in medical research. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: Chinese refInfo: holdings: @attributes: islocal: N |
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