Revolutionizing Brain Disease Diagnosis: The Convergence of AI, Genetic Screening, and Neuroimaging
The integration of artificial intelligence (AI), genetic screening, and neuroimaging heralds a revolutionary advance in the diagnosis and understanding of brain diseases. This review delves into the current landscape, highlights the challenges, and projects future directions of this interdisciplinary fusion. We emphasize its profound potential to refine diagnostic accuracy, predict disease trajectories, and unveil novel therapeutic targets. The synthesis of AI algorithms with expansive genetic and imaging datasets not only enhances our grasp of complex neurological conditions but also paves the way for personalized medical interventions, setting a new standard in healthcare innovation.
Authors
- Xin Jin (ORCID: https://orcid.org/0000-0002-7271-7655)
- Lichao Wang (ORCID: https://orcid.org/0000-0002-2099-9064)
- Shanshan Li (ORCID: https://orcid.org/0000-0003-1164-7494)
Institutions
- Capital Medical University (CN)
- Nankai University (CN)
- Beijing Friendship Hospital (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1145/3703847.3703850
- Citations
- 2
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.69