December 09, 2023
365体育投注 Webinar series by department of Medical Imaging Technology. MCHP, MAHE, 365体育投注
365体育投注 Webinar series by Department of Medical Imaging Technology, MCHP, MAHE, 365体育投注
World Roentgen Day 2024 by the Department of Medical Imaging Technology, MCHP, MAHE, 365体育投注
Adjunct Faculty Interactive Session by Dr. Sucheta P Dandekar
Journal Club
Dr. Winniecia Dkhar, Associate Professor and Head, Department of Medical Imaging Technology was invited to present a talk on ?“Advanced Imaging Techniques in Detection of Breast Cancer” at the National Level Conference on Artificial Intelligence & Future Prospects of Medical Imaging, organized by the Yenopayya (Deemed to be University) on the 9th of December 2023 at Yendurance Zone, Yenepoya (Deemed to be University), Mangalore, Karnataka.
It was an enriching experience for the BSc MIT students to participate in the poster competition that strengthened their knowledge in the area of AI integration in medical imaging and healthcare. There were three posters presented: "Real-time Medical Imaging with Artificial Intelligence" by Rachana Mestha and Joel Jose, "Integrating Artificial Intelligence to Coronary Computed Tomography Angiography for Enhanced Diagnosis" by Yogesh C H, Pratham Dsouza, Supritha S, and "The Synergy between Artificial Intelligence and CT Imaging in the Detection of Lung Imaging" by Ms. Sikina, Riya and Nawang secured the first prize in a poster competition titled "The Synergy between Artificial Intelligence and CT Imaging in the Detection of Lung Imaging". The poster was dealt on to enhance the capabilities of CT scans, AI is being integrated into CT imaging. The integration of AI with CT imaging represents a revolutionary advance in healthcare diagnostics. As a result, the synergy between artificial intelligence and CT imaging represents a significant advancement in the field of lung cancer diagnosis. The promise of enhanced precision in lung cancer detection and management looms large on the horizon as these advances are embraced, providing hope for improved outcomes and a deeper understanding of this complex disease.
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