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

被引:1
|
作者
Palazzi, Xavier [1 ]
Barale-Thomas, Erio [2 ]
Bawa, Bhupinder [3 ]
Carter, Jonathan [4 ]
Janardhan, Kyathanahalli [5 ]
Marxfeld, Heike [6 ]
Nyska, Abraham [7 ]
Saravanan, Chandrassegar [8 ]
Schaudien, Dirk [9 ]
Schumacher, Vanessa L. [10 ]
Spaet, Robert H. [11 ]
Tangermann, Simone [6 ]
Turner, Oliver C. [12 ]
Vezzali, Enrico [13 ]
机构
[1] Pfizer Inc, Groton, CT 06340 USA
[2] Janssen Res & Dev, Beerse, Belgium
[3] AbbVie Inc, Chicago, IL USA
[4] Labcorp Early Dev Labs, Harrogate, England
[5] Merck & Co Inc, Rahway, NJ USA
[6] Badische Anilin & Sodafabrik, Ludwigshafen, Germany
[7] Tel Aviv Univ, Tel Aviv, Israel
[8] Novartis Inst BioMed Res, Cambridge, MA USA
[9] Fraunhofer Inst Toxicol & Expt Med, Hannover, Germany
[10] Roche Pharma Res & Early Dev, Basel, Switzerland
[11] RSPathologics LLC, Bend, OR USA
[12] Novartis Inst BioMed Res, E Hanover, NJ USA
[13] Idorsia Pharmaceut Ltd, Allschwil, Switzerland
关键词
artificial intelligence; toxicologic pathology; survey; digital pathology; IMAGE-ANALYSIS; DIGITAL PATHOLOGY; VALIDATION;
D O I
10.1177/01926233231182115
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
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.
引用
收藏
页码:216 / 224
页数:9
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