Mapping of clinical research on artificial intelligence in the treatment of cancer and the challenges and opportunities underpinning its integration in the European Union health sector.
Background Although current efforts are made to diminish the incidence and burden of disease, cancer is still widely identified late at stage. This study aims to conduct a systematic review mapping the existent and emerging clinical research on artificial intelligence (AI) in the treatment of cancer...
| Publicado en: | European Journal of Public Health Vol. 32; no. 3; pp. 443 - 450 |
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| Autores principales: | , , |
| Formato: | pictorial research systematic review tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Jun2022
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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=157279775&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157279775 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11011262 BHW jtl: European Journal of Public Health issn: 11011262 maglogo: N pubinfo: dt: Jun2022 vid: 32 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 157279775 157279775 157279775 10.1093/eurpub/ckac016 157279775 ppf: 443 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Mapping of clinical research on artificial intelligence in the treatment of cancer and the challenges and opportunities underpinning its integration in the European Union health sector. aug: au: Popescu, Elena-Ramona Geantă, Marius Brand, Angela affil: Center for Innovation in Medicine , Bucharest, Romania sug: subj: Clinical Research Artificial Intelligence Utilization Therapy, Computer Assisted Neoplasms Therapy Health Care Industry European Union Socioeconomic Factors Politics Human Systematic Review European Union Diagnostic Imaging Robotic Surgical Procedures Image Processing, Computer Assisted Surgery, Computer-Assisted Decision Support Systems, Clinical Diffusion of Innovation ab: Background Although current efforts are made to diminish the incidence and burden of disease, cancer is still widely identified late at stage. This study aims to conduct a systematic review mapping the existent and emerging clinical research on artificial intelligence (AI) in the treatment of cancer and to underpin its integration challenges and opportunities in the European Union (EU) health sector. Methods A systematic literature review (SLR) evaluating global clinical trials (CTs; published between 2010 and 2020 or forthcoming) was concluded. Additionally, a horizon scanning (HS) exercise focusing on emerging trends (published between 2017 and 2020) was conducted. Results Forty-four CTs were identified and analyzed. Selected CTs were divided into three research areas: (i) potential of AI combined with imaging techniques, (ii) AI's applicability in robotic surgery interventions and (iii) AI's potential in clinical decision making. Twenty-one studies presented an interventional nature, nine papers were observational and 14 articles did not explicitly mention the type of study performed. The papers presented an increased heterogeneity in sample size, type of tumour, type of study and reporting of results. In addition, a shift in research is observed and only a small fraction of studies were completed in the EU. These findings could be further linked to the current socio-economic, political, scientific, technological and environmental state of the EU in regard to AI innovation. Conclusion To overcome the challenges threatening the EU's integration of such technology in the healthcare field, new strategies taking into account the EU's socio-economic and political environment are deemed necessary. pubtype: Academic Journal doctype: pictorial research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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