Phoebe Li
Biographic Data
| ID | 6197965 |
|---|---|
| NAME | Phoebe Li |
| GIVEN NAMES | Phoebe |
| FAMILY NAME | Li |
| SIGNATURE | LI P |
| AFFILIATIONS | University of Sussex |
| ORCID | 0000-0001-9171-1729 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Regulating Artificial Intelligence and Machine Learning-Enabled Medical Devices in Europe and the United Kingdom
Recent achievements in respect of Artificial Intelligence (AI) open up opportunities for new tools to assist medical diagnosis and care delivery. However, the typical process for the development of AI is through repeated cycles of learning and implementation, something that poses challenges to our existing system of regulating medical devices. Product developers face tensions between the benefits of continuous improvement/deployment of algorithms…
Sociotechnical alignment in biomedicine
Software, risks, and liabilities
The growing use of software in biomedicine has enlarged the capacities of researchers and clinicians. This, one might expect, would enhance the precision and safety of biomedicine. However, it has been recognized that software can bring about new risks to the field of medicine and medical devices, requiring at least some degree of caution from the different players responsible for technology governance and risk management. This phenomenon is focu…
Software, risks, and liabilities
The growing use of software in biomedicine has enlarged the capacities of researchers and clinicians. This, one might expect, would enhance the precision and safety of biomedicine. However, it has been recognized that software can bring about new risks to the field of medicine and medical devices, requiring at least some degree of caution from the different players responsible for technology governance and risk management. This phenomenon is focu…
Sociotechnical alignment in biomedicine
Regulating Artificial Intelligence and Machine Learning-Enabled Medical Devices in Europe and the United Kingdom
Recent achievements in respect of Artificial Intelligence (AI) open up opportunities for new tools to assist medical diagnosis and care delivery. However, the typical process for the development of AI is through repeated cycles of learning and implementation, something that poses challenges to our existing system of regulating medical devices. Product developers face tensions between the benefits of continuous improvement/deployment of algorithms…
Biomedical Ethics and Regulation (3 works) · Business (3 works) · Computer Science (3 works) · Engineering (3 works) · 3D Printing in Biomedical Research (2 works) · Additive Manufacturing and 3D Printing Technologies (2 works) · Artificial Intelligence (2 works) · Engineering management (2 works) · Knowledge management (2 works) · Risk analysis (engineering (2 works)