Mohammad Sidiq

Galgotias University

Papers

1

Total Citations

30

H-Index

1

About

Mohammad Sidiq is a rising researcher at the intersection of artificial intelligence and rehabilitation science, with a primary focus on the application of AI in physiotherapy and clinical trial methodology. 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 synthesis of how machine learning, computer vision, and natural language processing are revolutionizing patient data analysis in Indian healthcare settings. Sidiq’s major contribution lies in bridging the gap between cutting-edge AI technologies and practical physiotherapy outcomes, offering a roadmap for integrating intelligent systems into clinical workflows. His work highlights the potential for AI to enhance diagnostic precision, personalize treatment plans, and streamline trial management—an especially critical advancement for resource-limited environments. Though early in his career, Sidiq’s research has already garnered attention for its forward-looking perspective and actionable insights. By mapping current utilization patterns and forecasting future trajectories, he has positioned himself as a key voice in the digital transformation of physiotherapy, making his work essential reading for students and practitioners interested in the future of AI-driven rehabilitation.

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