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Building AI-Ready Datasets for Dural-Based Pathologies: A Systematic Approach to Data Curation, Annotation Challenges, and Potential Solutions
0
Zitationen
18
Autoren
2026
Jahr
Abstract
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.
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Autoren
Institutionen
- All India Institute of Medical Sciences(IN)
- National Institute of Mental Health and Neurosciences(IN)
- Indian Institute of Science Bangalore(IN)
- Post Graduate Institute of Medical Education and Research(IN)
- Sanjay Gandhi Post Graduate Institute of Medical Sciences(IN)
- King George's Medical University(IN)
- All India Institute of Medical Sciences Bhubaneswar(IN)
- Institute of Medical Sciences(IN)
- Sree Chitra Thirunal Institute for Medical Sciences and Technology(IN)
- Indian Council of Medical Research(IN)