output
20192024
most citedAutomatic Personalized Impression Generation for PET Reports Using Large Language Models

30 citations

7 papers

cs.CL2024★ 11 cited

CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation

Drew Walker, Annie Thorne, Sudeshna Das +4

Objective: To detect and classify features of stigmatizing and biased language in intensive care electronic health records (EHRs) using natural language processing techniques. Mate…

cs.CV2024★ 1 cited

Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network

Xin Tie, Muheon Shin, Changhee Lee +10

: Automatic quantification of longitudinal changes in PET scans for lymphoma patients has proven challenging, as residual disease in interim-therapy scans is ofte…

cs.AI2023★ 30 cited

Automatic Personalized Impression Generation for PET Reports Using Large Language Models

Xin Tie, Muheon Shin, Ali Pirasteh +8

In this study, we aimed to determine if fine-tuned large language models (LLMs) can generate accurate, personalized impressions for whole-body PET reports. Twelve language models w…

physics.soc-ph2022★ 5 cited

Social Phases in Human Movement

Yi Zhang, Debasish Sarker, Samantha Mitsven +3

Recent empirical studies found different thermodynamic phases for collective motion in animals. However, such a thermodynamic description for human movement remains unclear, mainly…

physics.med-ph2022★ 6 cited

Early in vivo Radiation Damage Quantification for Pediatric Craniospinal Irradiation Using Longitudinal MRI for Intensity Modulated Proton Therapy

Chih-Wei Chang, Matt Goette, Nadja Kadom +8

Purpose: Proton vertebral body sparing craniospinal irradiation (VBS CSI) treats the thecal sac while avoiding the anterior vertebral bodies in effort to reduce myelosuppression an…

cs.LG2020★ 4 cited

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units

Shenda Hong, Yanbo Xu, Alind Khare +5

Deep learning models have achieved expert-level performance in healthcare with an exclusive focus on training accurate models. However, in many clinical environments such as intens…