[HTML][HTML] Retinal scans and data sharing: the privacy and scientific development equilibrium

LF Nakayama, JCRG de Matos, IU Stewart… - Mayo Clinic …, 2023 - Elsevier
In ophthalmology, extensive use of ancillary imaging has enabled the development of
artificial intelligence models, for which data are crucial. A data-sharing environment …

[HTML][HTML] Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundation Models

BS Sankar, D Gilliland, J Rincon, H Hermjakob, Y Yan… - Bioengineering, 2024 - mdpi.com
Foundation Models (FMs) are gaining increasing attention in the biomedical artificial
intelligence (AI) ecosystem due to their ability to represent and contextualize multimodal …

Artificial Intelligence‐Based Sustainable Development of Smart Heritage Tourism

D Li, P Du, H He - Wireless Communications and Mobile …, 2022 - Wiley Online Library
World heritage is a kind of affirmation and high honor given by the international community
to the important civilization, historical relics, or natural landscape of a country and nation …

Data sharing of imaging in an evolving health care world: report of the ACR Data Sharing Workgroup, part 1: data ethics of privacy, consent, and anonymization

JC Batlle, K Dreyer, B Allen, T Cook, CJ Roth… - Journal of the American …, 2021 - Elsevier
Radiology is at the forefront of the artificial intelligence transformation of health care across
multiple areas, from patient selection to study acquisition to image interpretation. Needing …

Data privacy protection in news crowdfunding in the era of artificial intelligence

Z Xu, D Xiang, J He - Journal of Global Information Management …, 2021 - igi-global.com
This paper aims to study the protection of data privacy in news crowdfunding in the era of
artificial intelligence. This paper respectively quotes the encryption algorithm of artificial …

Considering the secondary use of clinical and educational data to facilitate the development of artificial intelligence models

B Thoma, M Spadafore, SS Sebok-Syer… - Academic …, 2023 - journals.lww.com
Medical training programs and healthcare systems collect ever-increasing amounts of
educational and clinical data. These data are collected with the primary purpose of …

Data quality, data sharing, and moving artificial intelligence forward

JG Elmore, CI Lee - JAMA network open, 2021 - jamanetwork.com
Buda et al1 have curated and annotated a data set of 3-dimensional digital breast
tomosynthesis (DBT) examinations obtained from 5060 patients. In using this data set, they …

Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models

SS Baradwaj, D Gilliland, J Rincon… - arXiv preprint arXiv …, 2024 - arxiv.org
Foundational Models (FMs) are gaining increasing attention in the biomedical AI ecosystem
due to their ability to represent and contextualize multimodal biomedical data. These …

[HTML][HTML] Proposing a Principle-Based Approach for Teaching AI Ethics in Medical Education

L Weidener, M Fischer - JMIR Medical Education, 2024 - mededu.jmir.org
The use of artificial intelligence (AI) in medicine, potentially leading to substantial
advancements such as improved diagnostics, has been of increasing scientific and societal …

[HTML][HTML] Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology

H Yoshida, T Kiyuna - World journal of gastroenterology, 2021 - ncbi.nlm.nih.gov
Tremendous advances in artificial intelligence (AI) in medical image analysis have been
achieved in recent years. The integration of AI is expected to cause a revolution in various …