Building AI-Ready Datasets for Dural-Based Pathologies: A Systematic Approach to Data Curation, Annotation Challenges, and Potential Solutions
By addressing these critical challenges, this study establishes a structured, high-quality dataset tailored for AI applications in neurosurgery. This initiative will facilitate the development of robust AI models for improved diagnostic and therapeutic decision-making and contribute to the broader goal of enhancing AI-driven healthcare solutions in India. Continued research, collaboration, and refinement of these methodologies will be essential in realizing AI's full potential in neurosurgical practice.
Authors
- Debnath Pal (ORCID: https://orcid.org/0000-0002-3591-5978)
- Sarvesh Goyal (ORCID: https://orcid.org/0000-0002-0364-1255)
- Manoj Phalak (ORCID: https://orcid.org/0000-0001-9349-3817)
- S. Gaikwad
- Pravin Shashikant Salunke
- A. Jaiswal
- Ritesh Kumar
- Dwarkanath Srinivas
- Harsh Deora
- George C. Vilanilam (ORCID: https://orcid.org/0000-0002-5603-9428)
- Shariq Ahmad Shah
- RabiNarayan Sahu
- Kanwaljeet Garg
- Ankur Bajaj
- Hemlata Jangir
- Harpreet Singh
- Vaishali Suri
- Shweta Kedia
Institutions
- Sanjay Gandhi Post Graduate Institute of Medical Sciences (IN)
- Sree Chitra Thirunal Institute for Medical Sciences and Technology (IN)
- King George's Medical University (IN)
- Indian Council of Medical Research (IN)
- All India Institute of Medical Sciences Bhubaneswar (IN)
- Post Graduate Institute of Medical Education and Research (IN)
- Institute of Medical Sciences (IN)
- Indian Institute of Science Bangalore (IN)
- All India Institute of Medical Sciences (IN)
- National Institute of Mental Health and Neurosciences (IN)
Publication Details
- Journal
- Neurology India
- Published
- 2026-01-01
- DOI
- https://doi.org/10.4103/neurol-india.neurol-india-d-25-00248
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00