Philip Dawny Philip, Graduate Student at Northwestern University, shared a post on LinkedIn:
“This month, I had the privilege of presenting our research work at the Radiological Society of North America (RSNA) Conference in Chicago – the world’s largest gathering in medical imaging. This marks the culmination of my year-long work with Northwestern Medicine on developing patient-facing chatbots to support treatment and caregiving in radiation oncology.
My sincere thanks to Troy Teo and Mohamed Abazeed from Northwestern Medicine for their continued support and efforts in helping me drive this project over the course of the last one year. Their guidance and feedback were instrumental in refining my work and helping it stand out among numerous submissions to this major conference.
I’m also deeply appreciative of Northwestern’s MS in Machine Learning and Data Science program for supporting this collaboration with Northwestern Medicine and making this opportunity possible.
It was an incredible experience to exchange ideas with leading researchers and industry experts, and to witness firsthand how AI is transforming imaging, treatment, and patient care. I’m excited to continue exploring more developments at the intersection of AI and healthcare!”
Mohamed Abazeed, Professor and Chair of Radiation Oncology at Northwestern Medicine, shared this post, adding:
“Outstanding work, Philip and team! This is exactly the kind of innovation that makes a real difference. Patient-facing tools like this have tremendous potential to meaningfully support our staff, improve communication, and empower patients and caregivers during what can be an overwhelming care journey.
I have no doubt this work will translate into tangible impact in radiation oncology, and I’m excited to see it continue to evolve and scale.”
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