A5017092668- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence in Healthcare and Education
- Radiology practices and education
- Radiation Dose and Imaging
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Advanced X-ray and CT Imaging
- MRI in cancer diagnosis
- Colorectal Cancer Surgical Treatments
- Bone Tumor Diagnosis and Treatments
- COVID-19 diagnosis using AI
- Bone health and treatments
- Breast Cancer Treatment Studies
- Radioactive element chemistry and processing
- Lanthanide and Transition Metal Complexes
- Neuroendocrine Tumor Research Advances
- Lung Cancer Research Studies
- Anorectal Disease Treatments and Outcomes
- Radiopharmaceutical Chemistry and Applications
- Advanced MRI Techniques and Applications
- Meta-analysis and systematic reviews
- Multiple Myeloma Research and Treatments
- AI in cancer detection
- Colorectal and Anal Carcinomas
- Advanced Neuroimaging Techniques and Applications
Yonsei University
2025
Radiological Society of North America
2024-2025
The University of Texas Southwestern Medical Center
2024
Vienna General Hospital
2024
Medical University of Vienna
2024
Beth Israel Deaconess Medical Center
2024
University of Southern California
2024
Vanderbilt University Medical Center
2024
Philips (Netherlands)
2024
Mount Sinai Health System
2024
Background Generating radiologic findings from chest radiographs is pivotal in medical image analysis. The emergence of OpenAI's generative pretrained transformer, GPT-4 with vision (GPT-4V), has opened new perspectives on the potential for automated image-text pair generation. However, application GPT-4V to real-world radiography yet be thoroughly examined. Purpose To investigate capability generate radiographs. Materials and Methods In this retrospective study, 100 free-text radiology...
Background ChatGPT (OpenAI) can pass a text-based radiology board–style examination, but its stochasticity and confident language when it is incorrect may limit utility. Purpose To assess the reliability, repeatability, robustness, confidence of GPT-3.5 GPT-4 (ChatGPT; OpenAI) through repeated prompting with examination. Materials Methods In this exploratory prospective study, 150 multiple-choice questions, previously used to benchmark ChatGPT, were administered default versions (GPT-3.5...
A life cycle assessment of a diagnostic radiology department’s environmental footprint identified the energy consumption from imaging equipment as more than 50% its greenhouse gas emissions, well opportunities to improve sustainability.
Background Multiparametric MRI (mpMRI) improves prostate cancer (PCa) detection compared with systematic biopsy, but its interpretation is prone to interreader variation, which results in performance inconsistency. Artificial intelligence (AI) models can assist mpMRI interpretation, large training data sets and extensive model testing are required. Purpose To evaluate a biparametric AI algorithm for intraprostatic lesion segmentation compare radiologist readings biopsy results. Materials...
In women with a personal history of breast cancer, postoperative surveillance MRI was associated lower odds advanced second cancer before and after propensity score matching.
Background According to 2021 World Health Organization criteria, adult-type diffuse gliomas include glioblastoma, isocitrate dehydrogenase (IDH)–wildtype; oligodendroglioma, IDH-mutant and 1p/19q-codeleted; astrocytoma, IDH-mutant, even when contrast enhancement is lacking. Purpose To develop validate simple scoring systems for predicting IDH subsequent 1p/19q codeletion status in without using standard clinical MRI sequences. Materials Methods This retrospective study included lacking at...
Background Somatostatin receptors, and specifically somatostatin receptor type 2 (SSTR2), have primarily been associated with neuroendocrine tumors revolutionized the imaging therapy of patients these tumors. SSTR2 is expressed on other at lower prevalence. Purpose To evaluate potential SSTR2-targeted in breast cancer. Materials Methods In a preclinical experiment, expression was assessed tissue microarrays cancer samples using H-score analysis. H-scores higher than 50 (0-300 scale) were...
Background MRI is highly sensitive for assessing bone marrow involvement in multiple myeloma (MM) but does not enable detection of osteolysis. Purpose To assess the diagnostic accuracy, repeatability, and reproducibility pseudo-CT sequences (zero echo time [ZTE], gradient-echo black [BB]) detecting osteolytic lesions MM using whole-body CT as reference standard. Materials Methods In this prospective study, consecutive patients were enrolled our academic hospital between June 2021 December...
In patients suspected of having lung cancer who underwent percutaneous CT-guided coaxial core biopsies, there was no evidence an association between the number samples obtained and any postprocedural complications.
Background Characteristics of ground-glass nodules (GGNs) in Asian women who have never smoked with family history lung cancer (FHLC) remain unexamined. Purpose To investigate the differences GGN progression to at low-dose CT (LDCT) screening between and without FHLC, examine associations FHLC prevalence growth. Materials Methods This single-center retrospective study included East had no personal underwent baseline LDCT for a health checkup January 2011 December 2015. Radiologists reviewed...