Joshua P. Kim, PhD

Automated stereotactic radiosurgery (SRS) planning often fails to match the high conformity and complex trade-off logic of expert human dosimetrists. We hypothesized that a reasoning-based AI agent, SAGE (Secure Agent for Generative dose Expertise), could gen...

Commercial availability of low-field (0.55 T), wide-bore (80 cm) MRI systems offer unique opportunities for treatment planning and response assessment in radiation oncology, especially when coupled with deep learning (DL) reconstruction algorithms. Understand...

The 0.55T MRI offers potential advantages including reduced susceptibility artifacts and improved accessibility. Separately, HyperSight cone-beam CT on the Ethos enables direct dose calculation during adaptive radiotherapy. This study evaluates the feasibilit...

To share our initial clinical experience using the Siemens MAGNETOM Free.Max low field strength (0.55T) scanner for gynecological brachytherapy, including establishing sequences, assessing geometric distortion for a titanium tandem and ring (T&R) applicator,...

Radiotherapy planning is time-intensive, iterative, and operator dependent. AI automates planning but is not transparent, and cloud-based models threaten privacy. We developed and evaluated SAGE (Secure Agent for Generative dose Expertise), a locally hosted,...

To quantify volumetric reliability limits of a vendor brain metastasis auto contouring prototype trained only on 1.5T and 3T MRI when deployed on 0.55T MRI.

Dynamic-contrast–enhanced (DCE) MRI enables quantitative assessment of microvascular permeability but is constrained at low field by reduced SNR and ambiguous voxel-wise model selection. This study constructs and evaluates an unsupervised probabilistic-nested...