Programmed response evaluation and prediction of GBMs using Artificial Intelligence (AI) and Imaging with the description of a swarmdeepsurv model which innovatively combines SI (Swarm Intelligence) - based feature selection and deepsurv: a brief ove
Object:To describe the main novel tools of AI in brain imaging.Methods: review of the literature.Description: This review describes the development of novel analysis tools, using state-of-the-art AI that can make sense of the data acquired during GBM diagnosis and treatment in an effort to help improve and standardize the patient pathway for this disease [1][2][3][4]. Conclusion:Nowadays are being born new revolutionary programs for the prediction and survival of GMBs based on AI.
Institutions
- Contento Trade (Italy) (IT)
Publication Details
- Journal
- Journal of Surgery
- Published
- 2024-09-18
- DOI
- https://doi.org/10.29011/2575-9760.11140
- Primary Topic
- Machine Learning and ELM
- Type
- article
- Field-Weighted Citation Impact
- 0.00