Your browser doesn't support javascript.
loading
[Eight misconceptions about AI in healthcare]. / Acht misvattingen over AI in de zorg.
Jongsma, Karin R; van Solinge, Wouter W; Haitjema, Saskia.
Affiliation
  • Jongsma KR; UMC Utrecht, Julius Centrum, afd. Bioethics & Health Humanities,Utrecht.
  • van Solinge WW; UMC Utrecht,Centraal Diagnostisch Laboratorium, Utrecht.
  • Haitjema S; UMC Utrecht,Centraal Diagnostisch Laboratorium, Utrecht.
Ned Tijdschr Geneeskd ; 1672023 04 13.
Article in Nl | MEDLINE | ID: mdl-37052401
It is of paramount importance that healthcare professionals can participate in the academic and societal debate surrounding medical AI. To realise this critical-constructive guidance of AI, it is necessary to be able to distinguish between different types of AI, different applications of AI and to paint the different shades of grey in the current black-and-white debate. This article describes and nuances eight misconceptions that currently dominate the public debate surrounding AI in healthcare. By asking ourselves as healthcare professionals 'what specifically defines our line of work?' we must define what aspects of our occupation we want to have AI either carry out or support, and in what way.
Subject(s)
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Health Personnel Limits: Humans Language: Nl Journal: Ned Tijdschr Geneeskd Year: 2023 Document type: Article Country of publication: Netherlands
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Health Personnel Limits: Humans Language: Nl Journal: Ned Tijdschr Geneeskd Year: 2023 Document type: Article Country of publication: Netherlands