Brady Hunt, PhD
Clinical Assistant Professor of Medicine
Research Scientist, Thayer School of Engineering
PhD, Rice University, Department of Bioengineering, 2015-2020
BS, Brigham Young University, Department of Physiology and Developmental Biology, 2011-2015
I am an AI researcher with appointments in the Geisel School of Medicine and Thayer School of Engineering at Dartmouth. I work on AI-powered imaging systems for real-time treatment guidance in radiotherapy, surgery, and dermatology applications. I believe that Data-centric AI is the most promising pathway to achieve AI adoption in medicine. I seek to deeply understand how data (particularly image/video) informs decision making in both high- and low-resource healthcare settings and where AI-powered tools can be most transformative. I bridge multiple domains of engineering to bring sensors, data, ML and clincians together in conducting my research at the Dartmouth Cancer Center.
Prior to joining Dartmouth, I completed my PhD in Bioengineering under the mentorship of Rebecca Richards-Kortum at Rice University. At Rice, I led efforts to transform cervical cancer prevention using point-of-care imaging technologies in medically underserved populations. I was fortunate to spend time working in three different cancer centers in Brazil, El Salvador, and Mozambique. Prior to my work at Rice, I obtained my Bachelor’s degree in Biophysics magna cum laude from Brigham Young University.
Fast Deformable Image Registration for Real-Time Target Tracking During Radiation Therapy Using Cine MRI and Deep Learning.
Emerging and future use of intra-surgical volumetric X-ray imaging and adjuvant tools for decision support in breast-conserving surgery.
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer.
Ultracompact fluorescence smartphone attachment using built-in optics for protoporphyrin-IX quantification in skin.
Developing diagnostic assessment of breast lumpectomy tissues using radiomic and optical signatures.
CT radiomic features of photodynamic priming in clinical pancreatic adenocarcinoma treatment.
High frame rate video mosaicking microendoscope to image large regions of intact tissue with subcellular resolution.
Deep Learning in Biomedical Optics.
Smartphone-based imaging systems for medical applications: a critical review.
Cervical lesion assessment using real-time microendoscopy image analysis in Brazil: The CLARA study.