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Ground-Target Recognition Method Based on Transfer Learning.
Sensors (Basel)
January 2025
College of Communication Engineering, Jilin University, Changchun 130012, China.
A moving ground-target recognition system can monitor suspicious activities of pedestrians and vehicles in key areas. Currently, most target recognition systems are based on devices such as fiber optics, radar, and vibration sensors. A system based on vibration sensors has the advantages of small size, low power consumption, strong concealment, easy installation, and low power consumption.
View Article and Find Full Text PDFUtility of Artificial Intelligence for Decision Making in Thoracic Multidisciplinary Tumor Boards.
J Clin Med
January 2025
Tecnun, School of Engineering, University of Navarra, 20018 San Sebastian, Spain.
: The aim of this study was to analyze whether the implementation of artificial intelligence (AI), specifically the Natural Language Processing (NLP) branch developed by OpenAI, could help a thoracic multidisciplinary tumor board (MTB) make decisions if provided with all of the patient data presented to the committee and supported by accepted clinical practice guidelines. : This is a retrospective comparative study. The inclusion criteria were defined as all patients who presented at the thoracic MTB with a suspicious or first diagnosis of non-small-cell lung cancer between January 2023 and June 2023.
View Article and Find Full Text PDFLung Cancers Associated with Cystic Airspaces.
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Clinic of Radiology EOC, Istituto Imaging della Svizzera Italiana (IIMSI), Via Tesserete 46, 6900 Lugano, CH, Switzerland.
Lung cancer, the second most common malignancy in both men and women, poses a significant health burden. Early diagnosis remains pivotal in reducing lung cancer mortality. Given the escalating number of computed tomography (CT) examinations in both outpatient and inpatient settings, radiologists play a crucial role in identifying early-stage pulmonary cancers, particularly non-nodular cancers.
View Article and Find Full Text PDFComparative Analysis of Automated and Handheld Breast Ultrasound Findings for Small (≤1 cm) Breast Cancers Based on BI-RADS Category.
Diagnostics (Basel)
January 2025
Department of Radiology, Inje University Haeundae Paik Hospital, Busan 48108, Republic of Korea.
: This study aimed to compare ultrasound (US) findings between automated and handheld breast ultrasound (ABUS and HHUS, respectively) in small breast cancers, based on the breast imaging reporting and data system (BI-RADS) category. : We included 51 women (mean age: 52 years; range: 39-66 years) with breast cancer (invasive or DCIS), all of whom underwent both ABUS and HHUS. Patients with tumors measuring ≤1 cm on either modality were enrolled.
View Article and Find Full Text PDFBreast Suspicious Microcalcifications on Contrast-Enhanced Mammograms: Practice and Reflection.
Int J Gen Med
January 2025
Department of Radiology, Huangpu Branch, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200011, People's Republic of China.
Purpose: To evaluate the use of contrast enhanced mammography (CEM) in suspicious microcalcifications and to discuss strategies to cope with its diagnostic limitations.
Methods: We retrospectively evaluated patients with suspicious calcifications who underwent CEM at our institution. We collected and analyzed morphological findings, enhancement patterns and pathological findings of suspicious microcalcifications on CEM.
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