A5101838993- Breast Cancer Treatment Studies
- Artificial Intelligence in Healthcare and Education
- Explainable Artificial Intelligence (XAI)
- Economic and Financial Impacts of Cancer
- Advances in Oncology and Radiotherapy
- Computational Physics and Python Applications
- Advanced Radiotherapy Techniques
- Breast Lesions and Carcinomas
- Topic Modeling
- Breast Implant and Reconstruction
- Recommender Systems and Techniques
- Radiation Dose and Imaging
- Expert finding and Q&A systems
- Radiomics and Machine Learning in Medical Imaging
- Data Quality and Management
- Information Retrieval and Search Behavior
- Adversarial Robustness in Machine Learning
- Big Data and Business Intelligence
- Organizational and Employee Performance
- Cultural Insights and Digital Impacts
- UAV Applications and Optimization
- Lung Cancer Diagnosis and Treatment
- Clinical Reasoning and Diagnostic Skills
- COVID-19 diagnosis using AI
- Migration, Health and Trauma
Cleveland Clinic
2021-2025
Allegheny Health Network
2025
Oak Ridge National Laboratory
2024
University of Washington
2020-2023
Cancer Institute (WIA)
2022
Rutgers, The State University of New Jersey
2019
Radiation therapy (RT) is an essential component in the management of breast cancer. Following breast-conserving surgery (BCS), adjuvant RT standard care for most patients. Traditionally, was delivered with whole irradiation (WBI) over 5-7 weeks following BCS. However, WBI regimens have evolved; hypofractionated now represents approach, reducing duration treatment to 3-4 weeks. Over past year, five-fraction also emerged as some patients based on data from FAST and FAST-Forward trials. An...
The role of radiation therapy (RT) following breast-conserving surgery (BCS) in ductal carcinoma situ (DCIS) remains controversial. Trials have not identified a low-risk cohort, based on clinicopathologic features, who do benefit from RT. A biosignature (DCISionRT®) that evaluates recurrence risk has been developed and validated. We evaluated the impact DCISionRT clinicians' recommendations for adjuvant RT.The PREDICT study is prospective, multi-institutional, observational registry which...
McFarlane, Matthew MD; Beeler, Whitney Ward, Shah, Chirag MD Author Information
ChatGPT is a simple-to-use conversation agent developed by OpenAI. Of course, this not the first time we have seen an AI that generates information. Google's LaMDA and Meta's Galactica are some recent examples for text generation.
The PREVENT randomized trial assessed progression to chronic breast cancer-related lymphedema (cBCRL) after intervention triggered by bioimpedance spectroscopy (BIS) or tape measurement (TM). This secondary analysis identifies cBCRL risk factors on the basis of axillary treatment.
Introduction: The integration of large language models (LLMs) into medical education will represent a significant paradigm shift, offering transformative potential in how knowledge is accessed and assimilated. These have not yet been systematically trained or validated on complex subspecialty examinations. This study explores the performance seven major LLMs radiation oncology.
Adjuvant therapy in patients with ductal carcinoma situ who undergo partial mastectomy remains controversial, particularly for low-risk (60 years or older, estrogen-positive, tumor extent < 2.5 cm, grade 1 2, and margins ≥ 3 mm). We performed a cost-effectiveness analysis comparing three strategies: no adjuvant treatment after surgery, five-fraction course of accelerated breast irradiation using intensity-modulated radiation (accelerated [APBI]-alone), APBI plus an aromatase inhibitor 5...
Persons experiencing homelessness (PEHs) represent a medically underserved population with disproportionately high rate of late-stage cancer diagnoses and mortality. During mobile onsite mammography breast health education events, we studied PEH's barriers to uptake screenings.
Growing attention has been paid in Conversational Recommendation System (CRS), which works as a conversation-based and recommendation task-oriented tool to provide items of interest explore user preference. However, existing work CRS fails explicitly show the reasoning logic users whole still remains black box. Therefore we propose novel end-to-end framework named Explanation Generation for (EGCR) based on generating explanations conversational agents explain why they make action. EGCR...
The Radiation Oncology Alternative Payment Model (APM) is a Medicare demonstration project that will test whether prospective bundled payments to randomly selected group of physician practices, hospital outpatient departments, and freestanding radiation therapy centers reduce overall expenditures while preserving or enhancing the quality care for beneficiaries. follows complicated pricing methodology blends historical reimbursements defined set services made professional technical providers...
Despite the advanced capabilities of contemporary machine learning (ML) models, they remain vulnerable to adversarial and backdoor attacks. This vulnerability is particularly concerning in real-world deployments, where compromised models may exhibit unpredictable behavior critical scenarios. Such risks are heightened by prevalent practice collecting massive, internet-sourced datasets for pre-training multimodal as these harbor backdoors. Various techniques have been proposed mitigate effects...