Nikhil Thaker, Medical Director of Oncology Research at Capital Health (US), shared a post on LinkedIn about a paper he co-authored with colleagues published in AI in Precision Oncology:
“New Publication Announcement
I’m pleased to share that our new paper – ‘Artificial Intelligence-Powered Internet of Medical Things in Radiation Oncology’ (Thaker et al., 2025) – is now published! Special thanks to exceptional co-authors David Penberthy, Sushil Beriwal, Trevor Royce, Tim Showalter, Navid Redjal, and Cataldo Doria.
Topic Highlight: The Convergence of AI + IoMT in Radiation Oncology
In this article, we explore how the Internet of Medical Things (IoMT) – i.e., connected devices, sensors, wearables, and smart systems – is beginning to merge with advanced AI tools to reshape how we deliver radiation therapy. Key takeaways include:
- AI is already being used for auto-segmentation, treatment planning and adaptive therapy workflows.
- IoMT devices generate rich real-time data (from imaging systems, treatment machines, patient wearables) that feed AI models and enable smarter, more individualized care.
- This convergence offers potential gains in precision, efficiency, and patient experience – but also presents challenges around data interoperability, cybersecurity, and clinical workflow integration.
I’ll be following up with several posts diving deeper into segments of the review: architecture models, in-clinic device workflows, digital twin concepts, and the implementation gap. Stay tuned if you’re interested in how AI + IoMT can move from ‘promise’ to ‘practice’ in radiation oncology. DM/contact me if you have any comments/want to collaborate!”
Title: Artificial Intelligence-Powered Internet of Medical Things in Radiation Oncology
Authors: Nikhil G. Thaker, David Penberthy, Sushil Beriwal, Trevor J. Royce, Timothy Showalter, Navid Redjal, and Cataldo Doria
You can read the Full Article in AI in Precision Oncology.
More posts featuring Nikhil Thaker.
