Senior Staff Physicist · Henry Ford Cancer

Humza
Nusrat

Board-certified medical physicist and assistant professor at Henry Ford Health and Michigan State University, building AI systems and VR simulators that advance how we treat cancer.

0
Publications
0
Years Research
0
Projects Built
Humza Nusrat
About

Bridging Physics &
Patient Care

I'm a medical physicist dedicated to advancing cancer treatment through AI, virtual reality, and precision dosimetry. At Henry Ford Cancer in Detroit, I specialize in MR-guided adaptive radiotherapy and stereotactic radiosurgery.

My current focus is SAGE — an LLM-based agent that interfaces with Eclipse for autonomous treatment plan optimization — alongside immersive VR training systems that are changing how we educate radiation professionals.

PhD, Biomedical Physics
CAMPEP Accredited
Assistant Professor
Michigan State University
AAPM Rising Star 2023
Global Recognition
AI & VR Pioneer
Autonomous Treatment Planning
Research Focus

Innovating
Cancer Care

From AI-driven planning to next-generation dosimetry.

01

AI-Powered Treatment Planning

Privacy-preserving language model agents for autonomous radiotherapy optimization. SAGE interfaces directly with Eclipse to iteratively refine plans with human-level intelligence.

LLM AgentsEclipse APIPrivacy
02

Virtual Reality Training

Immersive VR simulators for linear accelerator safety training and prostate brachytherapy procedures, transforming radiation education.

VR / AREducationSimulation
03

MR-Guided Radiotherapy

Pioneering MR-compatible water calorimetry for absolute dosimetry in MR-linac environments, establishing new measurement standards.

MR-LinacCalorimetryDosimetry
04

FLASH Radiotherapy

Ultra-high dose rate electron beams and novel scintillating detectors for next-generation FLASH applications and real-time dosimetry.

FLASHScintillatorsHigh Dose Rate
Projects

Tools & Applications

Tools and applications for the radiation oncology and AI community.

Featured

Dose Oracle

Comprehensive reference for normal tissue dose constraints. 150+ constraints from QUANTEC, HyTEC, RTOG, PENTEC, and UK SABR with automatic BED/EQD2 conversion.

🤖
New

RadOnc.AI

AI education platform for radiation oncology clinicians. Learn prompt engineering through interactive modules and practice in a safe AI sandbox with clinical scenarios.

🧭

Protocol Compass

Comprehensive SBRT/SRS protocol reference. 19 evidence-based protocols for lung, brain, spine, prostate, and liver with Dose Oracle integration.

New

Crucible

Adversarial AI evaluation platform using structured debates with reversal protocol. Pits LLMs against each other with ELO ratings, multi-judge panels, and rich analytics.

Inverse² Explorer

Interactive educational tool for the inverse square law. Particle visualization, gamified challenges, and clinical context for brachytherapy and radiation safety.

Career

A Decade of Discovery

2024 – Present
Senior Staff Physicist
Henry Ford Cancer, Detroit — MR-guided adaptive therapy & SRS
2025
Assistant Professor
Michigan State University — Dept. of Radiology, College of Human Medicine
2021 – 2024
Staff Medical Physicist
Sunnybrook Health Sciences Centre, Toronto — IMRT QA & Reference Dosimetry Lead
2019 – 2021
Medical Physics Residency
University of Toronto — CAMPEP-accredited
2014 – 2019
PhD, Biomedical Physics
Toronto Metropolitan University — Radiation dosimetry & detector development
Publications

Selected Works

All on Google Scholar →
1
Privacy-preserving language model agent for autonomous radiotherapy plan optimization
Medical Physics · 2025 · Under Review
2
Water calorimetry in MR-linac: Direct measurement of absorbed dose and determination of KQ,MAG
Medical Physics · 2020 · 47(12), 6458–6469
3
Quantifying the impact of high-Z doping on plastic scintillator response
Medical Physics · 2019 · 46(9), 4215–4224
4
Innovations in Calorimetry
Book Chapter · NOVA Publishers · 2018
Recognition

Awards & Honors

2023

Global Rising Star in Medical Physics

American Association of Physicists in Medicine (AAPM) — Excellence in emerging medical physics research in virtual and augmented reality.

2021

Sylvia Fedoruk Prize

Best paper in Canadian medical physics — MR-linac water calorimetry.

2018

Anthony J. MacKay Award

Best Student Paper — Canadian Radiation Protection Association.

2014 & 2017

TA of the Year

Excellence in teaching — Toronto Metropolitan University.

2009

TD Canada Trust Scholarship

Canada's most prestigious undergraduate scholarship — 20 of 7,000+.

Get in Touch

Let's Connect

Interested in collaboration, research, or the future of AI in radiation oncology?