Computer- and Robotics- Assisted Cancer Surgery – Forum, September 12, 2025
https://malmic.ca/wp-content/uploads/2025/08/1e37586c-521a-23c5-009b-5e5bf239046e-1024x682.jpg 1024 682 MaLMIC - Machine Learning in Medical Imaging Consortium MaLMIC - Machine Learning in Medical Imaging Consortium https://malmic.ca/wp-content/uploads/2025/08/1e37586c-521a-23c5-009b-5e5bf239046e-1024x682.jpgJoin us for talks by Drs. Amoon Jamzad and Laura Connolly, who will share two cutting-edge perspectives on advancing cancer surgery through robotics and intelligent tools. Laura will speak about her work on integrating AI-enabled robotics and haptic feedback into breast-conserving surgery to improve tumor removal in highly mobile, deformable tissue. She will also share how robotics combined with photoacoustic imaging can inspect resection cavities post-surgery, aiming for a future where no cancer is left behind. Amoon will present his research on applying deep learning to mass spectrometry data—capturing molecular tissue signatures in real time—to help surgeons accurately distinguish healthy from cancerous tissue. Amoon will highlight strategies for making these models trustworthy, explainable, and generalizable, and for translating mass spectrometry into intraoperative and post-resection workflows. Together, these innovations promise to enhance surgical precision, reduce positive margins, and improve patient outcomes.
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