Aksh Chahal

Galgotias University

Papers

1

Total Citations

30

H-Index

1

About

Dr. Aksh Chahal is a pioneering researcher at the intersection of artificial intelligence and physiotherapy, with a focused expertise in leveraging machine learning, computer vision, and natural language processing to transform clinical research in India. His most cited work, "Advancement, utilization, and future outlook of Artificial Intelligence for physiotherapy clinical trials in India: An overview" (2024, 30 citations), provides a comprehensive framework for integrating AI into physiotherapy practice, demonstrating how these technologies can enhance patient data analysis, improve diagnostic accuracy, and streamline clinical trial methodologies. Dr. Chahal's contributions are particularly notable for addressing the unique challenges of healthcare delivery in India, where resource constraints demand innovative, scalable solutions. His research has already influenced how physiotherapists and clinical researchers approach trial design, offering a roadmap for AI-driven personalized rehabilitation. With his work gaining traction among both healthcare practitioners and AI specialists, Dr. Chahal is establishing himself as a key voice in the digital transformation of physiotherapy, bridging the gap between cutting-edge technology and practical, patient-centered care.

Research Focus

Key Achievements

1
H-Index
1
Papers
30
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Advancement, utilization, and future outlook of Artificial Intelligence for physiotherapy clinical trials in India: An overview
30 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Galgotias University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago