Ethical considerations for artificial intelligence: an overview of the current radiology landscape.
Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine and to transform healthcare. In radiology, AI is about to enter into clinical practice and has a wide range of applications covering the whole diagnostic workflow. However, AI applications are not smooth...
| Publicado en: | Diagnostic & Interventional Radiology Vol. 26; no. 5; pp. 504 - 512 |
|---|---|
| Autores principales: | , |
| Formato: | review Journal Article |
| Publicado: |
Galenos Yayinevi Tic. LTD. STI
Sep2020
|
| 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=145661587&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 145661587 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13053825 39NM jtl: Diagnostic & Interventional Radiology issn: 13053825 maglogo: N pubinfo: dt: Sep2020 vid: 26 iid: 5 pid: 28155 pub: Galenos Yayinevi Tic. LTD. STI artinfo: ui: 145661587 145661587 NLM32755879 145661587 10.5152/dir.2020.19279 NLM32755879 145661587 ppf: 504 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Ethical considerations for artificial intelligence: an overview of the current radiology landscape. aug: au: D&'Antonoli, Tugba Akinci Akinci D'Antonoli, Tugba affil: Department of Radiology and Nuclear Medicine University Hospital Basel, University of Basel, Basel, Switzerland sug: subj: Specialties, Medical Artificial Intelligence Radiography Systems Analysis ab: Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine and to transform healthcare. In radiology, AI is about to enter into clinical practice and has a wide range of applications covering the whole diagnostic workflow. However, AI applications are not smooth sailing. It is crucial to understand the potential risks and hazards that come with this new technology. We have to implement AI in the best possible way to reflect the time-honored ethical and legal standards while ensuring the adequate protection of patient interests. These issues are discussed under the light of core biomedical ethics principles and principles for AI-specific ethical challenges while giving an overview of the statements that were proposed for the ethics of AI applications in radiology. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|