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Controversies in the Application of AI in Radiology-Is There Medico-Legal Support? Aspects from Romanian Practice.
Diagnostics (Basel)
January 2025
Department XV, Clinic of Radiology and Medical Imaging, "VictorBabes" University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania.
: Artificial intelligence (AI) is gaining an increasing amount of influence in various fields, including medicine. In radiology, where diagnoses are based on collaboration between diagnostic devices and the professional experience of radiologists, AI intervention seems much easier than in other fields, but this is often not the case. Many times, the patients orient themselves according to the doctor, which is not applicable in the case of AI.
View Article and Find Full Text PDFIntra- and interobserver agreement of proposed objective transvaginal ultrasound image-quality scoring system for use in artificial intelligence algorithm development.
Ultrasound Obstet Gynecol
January 2025
Robinson Research Institute, University of Adelaide, Adelaide, Australia.
Objectives: The development of valuable artificial intelligence (AI) tools to assist with ultrasound diagnosis depends on algorithms developed using high-quality data. This study aimed to test the intra- and interobserver agreement of a proposed image-quality scoring system to quantify the quality of gynecological transvaginal ultrasound (TVS) images, which could be used in clinical practice and AI tool development.
Methods: A proposed scoring system to quantify TVS image quality was created following a review of the literature.
A comparison of CXR-CAD software to radiologists in identifying COVID-19 in individuals evaluated for Sars CoV-2 infection in Malawi and Zambia.
PLOS Digit Health
January 2025
FIND, Geneva, Switzerland.
AI based software, including computer aided detection software for chest radiographs (CXR-CAD), was developed during the pandemic to improve COVID-19 case finding and triage. In high burden TB countries, the use of highly portable CXR and computer aided detection software has been adopted more broadly to improve the screening and triage of individuals for TB, but there is little evidence in these settings regarding COVID-19 CAD performance. We performed a multicenter, retrospective cross-over study evaluating CXRs from individuals at risk for COVID-19.
View Article and Find Full Text PDFComparing synthetic mammograms based on wide-angle digital breast tomosynthesis with digital mammograms.
J Med Imaging (Bellingham)
January 2025
Lund University, Department of Translational Medicine, Medical Radiation Physics, Malmö, Sweden.
Purpose: We aim to investigate the characteristics and evaluate the performance of synthetic mammograms (SMs) based on wide-angle digital breast tomosynthesis (DBT) compared with digital mammography (DM).
Approach: Fifty cases with both synthetic and digital mammograms were selected from the Malmö Breast Tomosynthesis Screening Trial. They were categorized into five groups consisting of normal cases and recalled cases with false-positive and true-positive findings from DM and DBT only.
Association between descending aorta wall thickness or wall area and cardiovascular disease risk factors in cardiovascular disease-free patients: a study based on water-calcium material decomposition and subtraction-based computed tomography dark-blood imaging.
Quant Imaging Med Surg
January 2025
Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Background: Due to the low contrast between the vascular lumen and vessel wall, conventional computed tomography (CT) is not an effective method for visualizing the vessel wall. The purpose of this study was to assess the feasibility of vessel wall visualization using contrast-enhanced dual-energy CT (DECT)-derived water-calcium material decomposition (WMD) and subtraction-based dark-blood imaging (DBI). An additional objective of this study was to determine the association of descending aorta wall thickness (WT) and wall area (WA) with cardiovascular disease (CVD) risk factors and to ascertain the potential of DECT-derived WT and WA as image markers for identifying individuals at high risk for future CVD.
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