Thorve abhilasha nitin

Dr. Abhilasha Nitin Thorve has gained extensive experience in hospital radiology departments, diagnostic centers, and interventional radiology units.

She started her career as a junior resident radiologist at a multi-specialty hospital, where she performed and interpreted MRI, CT, and X-ray scans for diagnosing critical illnesses. She later joined a leading diagnostic center, where she worked with advanced imaging technologies, including AI-assisted diagnostics.

Currently, she is a consultant radiologist at a reputed hospital, where she specializes in early disease detection, interventional procedures, and research on AI applications in medical imaging.

Dr. Thorve has actively contributed to radiology research, focusing on AI-driven diagnostics and interventional radiology advancements.

• “AI-Assisted Radiology: A Comparative Study on Accuracy in Disease Diagnosis” – Published in the Indian Journal of Radiology (2023).
• “Advancements in Interventional Radiology for Tumor Ablation” – Presented at the National Radiology Conference, 2022.
• “Comparative Study on Low-Dose Radiation Imaging Techniques” – Research conducted in collaboration with top medical imaging institutions.

Dr. Abhilasha Nitin Thorve has been recognized for her contributions to radiology research and clinical excellence.

• Best Young Radiologist Award (2023) – Honored by the Indian Radiology Association for her work in AI-driven diagnostic imaging.
• Excellence in Interventional Radiology (2022) – Awarded for pioneering work in minimally invasive image-guided procedures.
• Top Researcher in Medical Imaging (2023) – Recognized for developing AI models for improving MRI and CT scan interpretations.

Dr. Thorve has authored multiple research papers, book chapters, and articles in the field of radiology and medical imaging.

• Book Chapter: “AI and the Future of Diagnostic Imaging” – Published in Advancements in Radiology (2023).
• Journal Article: “Efficacy of Low-Radiation CT Scans in Pediatric Imaging” – Featured in the Journal of Clinical Radiology.
• Conference Presentation: “Emerging Trends in Neuroradiology: AI and Machine Learning Applications” – Presented at the International Radiology Summit, 2023.