Computed tomography-based anatomic assessment overestimates local tumor recurrence in patients with mass-like consolidation after stereotactic body radiotherapy for early-stage non-small cell lung cancer. [PDF]
, 2012 PURPOSE: To investigate pulmonary radiologic changes after lung stereotactic body radiotherapy (SBRT), to distinguish between mass-like fibrosis and tumor recurrence.
Benedict, Stanley H +6 more
core +1 more source
HDAC4 regulates apoptosis in Acan‐CreERT2;HDAC4d/d mice with osteoarthritis by downregulating ATF4
FEBS Open Bio, EarlyView.Using the AcanCreERT2;HDAC4fl/fl genetic mouse model, we further investigated the role of histone deacetylase 4 (HDAC4) in chondrocyte apoptosis. We found that knocking down HDAC4 may be associated with chondrocyte apoptosis by upregulating the activating transcription factor 4 (ATF4)/CAAT/enhancer binding protein homologous (CHOP) signaling pathway ...
Jingrui Huang +11 more
wiley +1 more source
RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance [PDF]
arXiv, 2023 Conversational AI tools that can generate and discuss clinically correct radiology reports for a given medical image have the potential to transform radiology. Such a human-in-the-loop radiology assistant could facilitate a collaborative diagnostic process, thus saving time and improving the quality of reports. Towards this goal, we introduce RaDialog,
arxiv
Activités, 2019 By contrast with most common training models, perturbation-based training does not consist in the transmission of established knowledge. It aims to produce a “shock” to encourage the making of new meanings and to foster the development of new actions ...
Stéphanie Schot +4 more
doaj
Federated learning for medical imaging radiology
The British Journal of Radiology, 2023 Abstract Federated learning (FL) is gaining wide acceptance across the medical AI domains. FL promises to provide a fairly acceptable clinical-grade accuracy, privacy, and generalisability of machine learning models across multiple institutions. However, the research on FL for medical imaging AI is still in its early stages.
Rehman, Muhammad Habib Ur +5 more
openaire +3 more sources
BMC Medical EducationBackground Modern medicine becomes more dependent on radiologic imaging techniques. Over the past decade, radiology has also gained more attention in the medical curricula.
Frederike S. Harthoorn +4 more
doaj +1 more source
Overview of dental radiation technologists in Taiwan
Journal of Dental Sciences, 2022 Background/purpose: In Taiwan, there is no independent licensing system for dental radiation technologists. A licensed medical radiation technologist who engages in dental radiology is the so-called dental radiation technologist.
Feng-Chou Cheng +6 more
doaj
“Must See” Radiology for Medical Students
MedEdPORTAL, 2010 Introduction This resource is an interactive PowerPoint presentation intended for use with audience response pads suitable for third- and fourth-year medical students or junior medical residents.
Petra Lewis
doaj +1 more source
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model [PDF]
arXiv, 2021 Medical imaging is critical to the diagnosis and treatment of numerous medical problems, including many forms of cancer. Medical imaging reports distill the findings and observations of radiologists, creating an unstructured textual representation of unstructured medical images.
arxiv
XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports [PDF]
arXiv, 2020 To effectively train medical students to become qualified radiologists, a large number of X-ray images collected from patients with diverse medical conditions are needed. However, due to data privacy concerns, such images are typically difficult to obtain.
arxiv