David Ivorra-Piqueres
Papers
1
Total Citations
3
H-Index
1
About
David Ivorra-Piqueres is a researcher at the intersection of artificial intelligence and neurorehabilitation, dedicated to leveraging deep learning for societal integration of brain injury patients. His most cited work, "COMBAHO: A deep learning system for integrating brain injury patients in society" (2019), introduces a pioneering AI-driven framework designed to assess and support cognitive and behavioral recovery, enabling patients to navigate daily life more independently. Though his citation count is modest, with 3 citations for this seminal paper, the work represents a critical step in applying machine learning to personalized rehabilitation strategies. Ivorra-Piqueres’ contributions highlight the potential of AI to bridge clinical care and real-world social reintegration, addressing a pressing need in neurorehabilitation. His research underscores a commitment to translating computational methods into tangible human impact, making him a notable voice in the emerging field of AI-assisted neurorecovery. For students and researchers, his work offers a compelling example of how deep learning can be harnessed for social good, particularly in underserved areas of patient care.
Research Focus
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Top Papers
- 1