Login / Signup

Results of the European Society of Toxicologic Pathology Survey on the Use of Artificial Intelligence in Toxicologic Pathology.

Xavier PalazziErio BaraleBhupinder BawaJonathan CarterKyathanahalli S JanardhanHeike Antje MarxfeldAbraham NyskaChandrassegar SaravananDirk SchaudienVanessa L SchumacherRobert H SpaetSimone TangermannOliver C TurnerEnrico Vezzali
Published in: Toxicologic pathology (2023)
The European Society of Toxicologic Pathology (ESTP) initiated a survey through its Pathology 2.0 workstream in partnership with sister professional societies in Europe and North America to generate a snapshot of artificial intelligence (AI) usage in the field of toxicologic pathology. In addition to demographic information, some general questions explored AI relative to (1) the current status of adoption across organizations; (2) technical and methodological aspects; (3) perceived business value and finally; and (4) roadblocks and perspectives. AI has become increasingly established in toxicologic pathology with most pathologists being supportive of its development despite some areas of uncertainty. A salient feature consisted of the variability of AI awareness and adoption among the responders, as the spectrum extended from pathologists having developed familiarity and technical skills in AI, to colleagues who had no interest in AI as a tool in toxicologic pathology. Despite a general enthusiasm for these techniques, the overall understanding and trust in AI algorithms as well as their added value in toxicologic pathology were generally low, suggesting room for the need for increased awareness and education. This survey will serve as a basis to evaluate the evolution of AI penetration and acceptance in this domain.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • healthcare
  • current status
  • physical activity
  • electronic health record
  • cross sectional
  • health information
  • social media
  • quality improvement