Smita Sarwan

Dr. Smita Sarwan has over 20 years of experience in radiology, having worked at top institutions such as Deen Dayal Upadhyay Hospital, Paras Hospital, and B.L. Kapoor Hospital. She gained expertise in MRI, CT, ultrasound, and interventional radiology, specializing in breast imaging, neuroimaging, and AI-assisted diagnostics. She also worked internationally at Al-Dharmaar, Kuwait, handling trauma radiology and PET-CT scans. Currently, she is the Founder & Chief Consultant at Dr. Sarwan Diagnostic Labs, Delhi, where she leads AI-driven radiology services and free screening camps to promote early disease detection.

Dr. Sarwan has been actively involved in radiology research, focusing on early disease detection, AI integration in radiology, and interventional imaging techniques.

• "AI-Driven Mammography for Early Breast Cancer Detection" – Published in the Indian Journal of Radiology (2015).
• "Role of PET-CT in Staging and Management of Cancer Patients" – Research paper presented at the International Radiology Conference, Dubai (2018).
• "MRI-Guided Interventional Radiology: A New Approach to Minimally Invasive Procedures" – Published in the Journal of Interventional Radiology (2020).
• Led clinical trials on contrast-enhanced ultrasound (CEUS) for detecting liver and kidney diseases.

Dr. Smita Sarwan has received multiple awards for her contributions to the field of radiology and diagnostic imaging:

• 🏆 "Best Radiologist Award" – Indian Medical Association (2016)
• 🏆 "Excellence in Women’s Health Imaging" – National Radiology Conference (2019)
• 🏆 "Innovator in AI-Integrated Radiology" – International Diagnostic Summit (2021)
• 🏆 "Community Healthcare Service Award" – Recognized for Free Diagnostic Camps (2022)

Dr. Sarwan has authored multiple medical textbooks, including Advanced Imaging in Oncology and Pediatric Radiology – Case-Based Approach. She has published research papers on neuroimaging, AI-assisted diagnostics, and digital vs. conventional X-ray comparisons in journals like Neurology Today and Medical AI Research Journal. Her work focuses on innovative imaging techniques, early cancer detection, and AI integration in radiology.