Deep learning workflow in radiology: a primer
E Montagnon, M Cerny, A Cadrin-Chênevert… - Insights into …, 2020 - Springer
Interest for deep learning in radiology has increased tremendously in the past decade due to
the high achievable performance for various computer vision tasks such as detection …
the high achievable performance for various computer vision tasks such as detection …
Canadian Association of Radiologists white paper on ethical and legal issues related to artificial intelligence in radiology
Canadian Association of Radiologists … - Canadian …, 2019 - journals.sagepub.com
Artificial intelligence (AI) software that analyzes medical images is becoming increasingly
prevalent. Unlike earlier generations of AI software, which relied on expert knowledge to …
prevalent. Unlike earlier generations of AI software, which relied on expert knowledge to …
Linking sensitive data
Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …
increasing demand to share, integrate, and link such data within and across organisations in …
Patient views on research use of clinical data without consent: legal, but also acceptable?
G Richter, C Borzikowsky, W Lieb, S Schreiber… - European Journal of …, 2019 - nature.com
The research exemption implemented in the new EU General Data Protection Regulation
(EU-GDPR) gives member states leeway in determining whether patient consent is required …
(EU-GDPR) gives member states leeway in determining whether patient consent is required …
When is it impractical to ask informed consent? A systematic review
SJM Laurijssen, R van der Graaf, WB van Dijk… - Clinical …, 2022 - journals.sagepub.com
Background Informed consent is one of the cornerstones of biomedical research with human
subjects. Research ethics committees may allow for a modification or a waiver of consent …
subjects. Research ethics committees may allow for a modification or a waiver of consent …
Meeting the needs of underserved populations: setting the agenda for more inclusive citizen science of medicine
In its expansion to genomic, epidemiological and biomedical research, citizen science has
been promoted as contributing to the democratisation of medical research and healthcare …
been promoted as contributing to the democratisation of medical research and healthcare …
Towards trust-based governance of health data research
MAR Bak, MC Ploem, HL Tan, MT Blom… - Medicine, Health Care …, 2023 - Springer
Developments in medical big data analytics may bring societal benefits but are also
challenging privacy and other ethical values. At the same time, an overly restrictive data …
challenging privacy and other ethical values. At the same time, an overly restrictive data …
Ethical principles, constraints, and opportunities in clinical proteomics
Recent advances in MS-based proteomics have vastly increased the quality and scope of
biological information that can be derived from human samples. These advances have …
biological information that can be derived from human samples. These advances have …
Ethical issues in consent for the reuse of data in health data platforms
A McKeown, M Mourby, P Harrison, S Walker… - … and Engineering Ethics, 2021 - Springer
Data platforms represent a new paradigm for carrying out health research. In the platform
model, datasets are pooled for remote access and analysis, so novel insights for developing …
model, datasets are pooled for remote access and analysis, so novel insights for developing …
[HTML][HTML] Reimagining Health Data Exchange: An application programming interface–enabled roadmap for India
Abstract In February 2018, the Government of India announced a massive public health
insurance scheme extending coverage to 500 million citizens, in effect making it the world's …
insurance scheme extending coverage to 500 million citizens, in effect making it the world's …