Antonio Celesti

About

Antonio Celesti is a leading researcher at the intersection of artificial intelligence, big data, and healthcare, with a primary focus on transforming neurorehabilitation and tele-rehabilitation. His work pioneers the integration of machine learning and cloud-based systems to improve diagnosis and treatment for neurological disorders such as stroke, spinal cord injury, and Parkinson’s disease. Celesti’s most cited paper, “Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders” (2024, 62 citations), highlights his vision for AI-driven early diagnosis and personalized therapy. He has also advanced robotic-assisted gait training by leveraging big data analytics to tailor treatments, and developed innovative approaches like using NoSQL graph databases to enhance tele-rehabilitation therapy. His research extends to clinical workflows for integrating heterogeneous healthcare data and monitoring oxygenation in bedridden patients via infrared technology. With a career marked by interdisciplinary innovation, Celesti’s contributions are shaping the future of remote patient care and rehabilitation, making him a key figure in the evolution of smart, data-driven healthcare systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders

   62 citations · 2024
2. 2
   Toward Improving Robotic-Assisted Gait Training: Can Big Data Analysis Help Us?

   12 citations · 2018
3. 3
   Improving Tele-Rehabilitation Therapy Through Machine Learning with a NoSQL Graph DBMS Approach

   11 citations · 2020
4. 4
   How to enable clinical workflows to integrate big healthcare data

   9 citations · 2017
5. 5
   Infrared Monitoring of Oxygenation Process Generated by Robotic Verticalization in Bedridden People

   9 citations · 2021

Key Collaborators

Contact & Links