1.3k citations
- National Institutes of HealthUS13 papers
- National Cancer InstituteUS7 papers
- National Center for Biotechnology InformationUS5 papers
- Ping An (China)5 papers
- Nvidia (United States)US4 papers
- United States National Library of MedicineUS4 papers
- Vanderbilt UniversityUS4 papers
- Cornell UniversityUS3 papers
- Fraunhofer Institute for Digital MedicineDE3 papers
- German Cancer Research CenterDE3 papers
- Heidelberg UniversityDE3 papers
- King's College LondonGB3 papers
49 papers
Mathematical and Computational Nuclear Oncology: Toward Optimized Radiopharmaceutical Therapy via Digital Twins
Marc Ryhiner, Yangmeihui Song, Babak Saboury +3
This article presents the general framework of theranostic digital twins (TDTs) in computational nuclear medicine, designed to support clinical decision-making and improve cancer p…
Classification of Multi-Parametric Body MRI Series Using Deep Learning
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm +2
Multi-parametric magnetic resonance imaging (mpMRI) exams have various series types acquired with different imaging protocols. The DICOM headers of these series often have incorrec…
The doctor will polygraph you now: ethical concerns with AI for fact-checking patients
James Anibal, Jasmine Gunkel, Shaheen Awan +10
Artificial intelligence (AI) methods have been proposed for the prediction of social behaviors which could be reasonably understood from patient-reported information. This raises n…
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification
Benjamin Hou, Sung-Won Lee, Jung-Min Lee +4
Purpose: To evaluate the performance of an automated deep learning method in detecting ascites and subsequently quantifying its volume in patients with liver cirrhosis and ovarian…
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification
Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald Summers
In chest X-ray (CXR) image analysis, rule-based systems are usually employed to extract labels from reports for dataset releases. However, there is still room for improvement in la…
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
Qingqing Zhu, Xiuying Chen, Qiao Jin +6
In radiology, Artificial Intelligence (AI) has significantly advanced report generation, but automatic evaluation of these AI-produced reports remains challenging. Current metrics,…