Challenges developing deep learning algorithms in cytology

ED McAlpine, L Pantanowitz, PM Michelow - Acta Cytologica, 2021 - karger.com
Background: The incorporation of digital pathology into routine pathology practice is
becoming more widespread. Definite advantages exist with respect to the implementation of …

[HTML][HTML] Integrating artificial intelligence in pathology: a qualitative interview study of users' experiences and expectations

J Drogt, M Milota, S Vos, A Bredenoord, K Jongsma - Modern pathology, 2022 - Elsevier
Recent progress in the development of artificial intelligence (AI) has sparked enthusiasm for
its potential use in pathology. As pathology labs are currently starting to shift their focus …

Artificial intelligence and medical research databases: ethical review by data access committees

F McKay, BJ Williams, G Prestwich, D Bansal… - BMC Medical …, 2023 - Springer
Background It has been argued that ethics review committees—eg, Research Ethics
Committees, Institutional Review Boards, etc.—have weaknesses in reviewing big data and …

[PDF][PDF] Harnessing the AI/ML in Drug and Biological Products Discovery and Development: The Regulatory Perspective

F Mirakhori, SK Niazi - 2024 - preprints.org
Artificial Intelligence (AI) has the disruptive potential to transform patients' lives via
innovations in pharmaceutical sciences, drug development, clinical trials, and …

Ethics in Multi-modal Artificial Intelligence and Hybrid Pathology Systems Development

CB Shook, M Kim - Asia Pacific J. Health L. & Ethics, 2021 - HeinOnline
This paper explores the development of artificial intelligence systems for pathology research
and practice among hospitals and startups. Using examples from South Korea and other …