2025-08-29 –, Innovathens - Main stage
The operating room is coding its way into the future, and Python is the language of change. Explore how Python's versatility is driving innovation in MedTech and transforming the landscape of medical robotics, bringing exciting implications for procedures like bronchoscopy. We'll explore how Python's robust ecosystem – with powerful libraries like OpenCV and TensorFlow/PyTorch – is enabling the development of cutting-edge solutions for minimally invasive interventions, pushing the boundaries of what's possible in healthcare.
Get ready to witness the algorithmic ingenuity behind robotic systems that achieve unprecedented surgical accuracy, paving the way for improved patient outcomes. Key topics will include the application of 3D Convolutional Neural Networks (CNNs) for advanced medical imaging, predictive maintenance to ensure the reliability of these complex systems, and real-time telemetry that empowers surgeons with enhanced control and precision. This session is not just about automation; it's about how Python is offering a 'cut above' traditional methods, leading to less invasive procedures and faster recovery times.
Lilinoe Harbottle is an Indigenous Data Scientist who bridges data algorithms, robotics, and healthcare. She leads AI initiatives at a San Francisco startup, developing models for autonomous systems and natural language processing. At Auris Health (Johnson & Johnson), she enhanced medical robotic systems, improving bronchoscopy and urology procedures. A champion for open source and inclusive tech communities, she is a Sequoyah Fellow of the American Indian Science & Engineering Society (AISES).