AI Training and Dataset Curation in Medical Imaging
Diagnosis
Curated structured datasets from OPD cases and radiology reports for model training. Labeled clinical and imaging data to support the development and validation of AI diagnostic models. Engaged in reviewing and annotating medical imaging and corresponding diagnoses for AI training purposes.
• Focused on radiology imaging, including X-ray, CT, and ultrasound studies.
• Applied diagnostic labeling for disease identification and model evaluation.
• Leveraged medical knowledge to annotate complex clinical cases.
• Contributed to datasets aimed at enhancing AI-based diagnostic accuracy.
Curated structured datasets from OPD cases and radiology reports for model training. Labeled clinical and imaging data to support the development and validation of AI diagnostic models. Engaged in reviewing and annotating medical imaging and corresponding diagnoses for AI training purposes. • Focused on radiology imaging, including X-ray, CT, and ultrasound studies. • Applied diagnostic labeling for disease identification and model evaluation. • Leveraged medical knowledge to annotate complex clinical cases. • Contributed to datasets aimed at enhancing AI-based diagnostic accuracy.
Present