A5053722137- Advanced Radiotherapy Techniques
- Advances in Oncology and Radiotherapy
- Radiomics and Machine Learning in Medical Imaging
- Head and Neck Cancer Studies
- Hepatocellular Carcinoma Treatment and Prognosis
- Management of metastatic bone disease
- Radiation Dose and Imaging
- Lung Cancer Diagnosis and Treatment
- Radiation Therapy and Dosimetry
- Economic and Financial Impacts of Cancer
- Health Systems, Economic Evaluations, Quality of Life
- Glioma Diagnosis and Treatment
- Brain Metastases and Treatment
- Liver Disease Diagnosis and Treatment
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Prostate Cancer Diagnosis and Treatment
- Dysphagia Assessment and Management
- Digital Radiography and Breast Imaging
- Salivary Gland Tumors Diagnosis and Treatment
- Scientific Computing and Data Management
- Breast Cancer Treatment Studies
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Cancer survivorship and care
University of Michigan
2016-2025
Michigan Medicine
2018-2022
University of Birmingham
2022
University of Wisconsin System
2018
WinnMed
2013-2018
Swedish Medical Center
2018
Michigan United
2018
American Association of Physicists in Medicine
2018
John Wiley & Sons (United States)
2018
NRG Oncology
2017
With the era of big data, utilization machine learning algorithms in radiation oncology is rapidly growing with applications including: treatment response modeling, planning, contouring, organ segmentation, image-guidance, motion tracking, quality assurance, and more. Despite this interest, practical clinical implementation as part day-to-day operations still lagging. The aim white paper to further promote progress new field by highlighting its untapped advantages potentials for advancement,...
Abstract The detection of variations fundamental constants the Standard Model would provide us with compelling evidence new physics, and could lift veil on nature dark matter energy. In this work, we discuss how a network atomic molecular clocks can be used to look for such unprecedented sensitivity over wide range time scales. This is precisely goal recently launched QSNET project: A measuring stability constants. will include state-of-the-art clocks, but also develop next-generation highly...
Adrenocortical carcinoma (ACC) is a rare malignancy with high rates of recurrence and poor prognosis. The role radiotherapy (RT) in localized ACC has been controversial, RT not routinely offered.To evaluate the benefit adjuvant on outcomes ACC.This retrospective propensity-matched analysis.All patients were seen through University Michigan's Endocrine Oncology program, all those who underwent treated at Michigan.Of 424 ACC, 78 selected; 39 radiation.Adjuvant to tumor bed adjacent lymph...
Background: Early death after a treatment can be seen as therapeutic failure. Accurate prediction of patients at risk for early mortality is crucial to avoid unnecessary harm and reducing costs. The goal our work two-fold: first, evaluate the performance previously published model in cohorts. Second, develop prognostic following radiotherapy.Material methods: Patients with NSCLC treated chemoradiotherapy or radiotherapy alone were included this study. Four different cohorts from countries...
Emergence of Big Data Analytics Resource Systems (BDARSs) as a part routine practice in Radiation Oncology is on the horizon. Gradually, individual researchers, vendors and professional societies are leading initiatives to create demonstrate use automated systems. What implications for design clinical trials, these systems emerge? Gold standard, randomized controlled trials (RCTs) have high internal validity patients settings fitting constraints trial, but also limitations including:...
To present a systematic approach to the reirradiation special medical physics consult (ReRT-SMPC) process.An in-house committee of physicians and physicists was formed develop streamlined well-documented ReRT-SMPCs. Dosimetric goals considerations for tissue repair were generated by with input from literature, clinical trial guidelines, physician experience. Procedural workflow also defined.The total number ReRT-SMPCs performed in our department 2018 401, corresponding 369 unique patients...
Successful implementation of the National Radiation Oncology Registry should improve quality care for patients with cancer treated radiation.
PURPOSE To use a hybrid method, combining statistical profiling, machine learning (ML), and clinical evaluation to predict emergency department (ED) visits among patients with head neck cancer undergoing radiotherapy. MATERIALS AND METHODS Patients treated radiation therapy from 2015 2019 were identified using electronic health record data. Records 60 days before 90 after treatment analyzed. Statistical profiling ML used create predictive model for ED during or therapy. A comprehensive set...