There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Andrew King |
| Institution: | King's College London |
| Department: | Biomedical Engineering |
| Country: | |
| Proposed Analysis: | In the past few years, AI tools have been developed for analysing brain MR images, e.g. to segment structures of interest and/or derive biomarkers. In computer vision and some health applications, there has been recent concern about the potential for bias in AI tools, for example by demographic data such as gender and race. We propose to investigate whether such bias exists in AI tools for brain MR image analysis, and if it does, we will develop tools to mitigate this bias resulting in fairer use of AI in neuroimaging. |
| Additional Investigators | |
| Investigator's Name: | Alexander Hammers |
| Proposed Analysis: | In the past few years, AI tools have been developed for analysing brain MR images, e.g. to segment structures of interest and/or derive biomarkers. In computer vision and some health applications, there has been recent concern about the potential for bias in AI tools, for example by demographic data such as gender and race. We propose to investigate whether such bias exists in AI tools for brain MR image analysis, and if it does, we will develop tools to mitigate this bias resulting in fairer use of AI in neuroimaging. |
| Investigator's Name: | Stefanos Ioannou |
| Proposed Analysis: | In the past few years, AI tools have been developed for analysing brain MR images, e.g. to segment structures of interest and/or derive biomarkers. In computer vision and some health applications, there has been recent concern about the potential for bias in AI tools, for example by demographic data such as gender and race. We propose to investigate whether such bias exists in AI tools for brain MR image analysis, and if it does, we will develop tools to mitigate this bias resulting in fairer use of AI in neuroimaging. |
