Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation
M Chen, Y Wang, Q Wang, J Shi, H Wang, Z Ye… - NPJ Digital …, 2024 - nature.com
Clinicians face increasing workloads in medical imaging interpretation, and artificial
intelligence (AI) offers potential relief. This meta-analysis evaluates the impact of human-AI …
intelligence (AI) offers potential relief. This meta-analysis evaluates the impact of human-AI …
AI in Radiology: Opportunities and Challenges
Artificial intelligence's (AI) emergence in radiology elicits both excitement and uncertainty. AI
holds promise for improving radiology with regards to clinical practice, education, and …
holds promise for improving radiology with regards to clinical practice, education, and …
Artificial intelligence assisted diagnosis of early tc markers and its application
L Zhang, C Wong, Y Li, T Huang, J Wang, C Lin - Discover Oncology, 2024 - Springer
Thyroid cancer (TC) is a common endocrine malignancy with an increasing incidence
worldwide. Early diagnosis is particularly important for TC patients, because it allows …
worldwide. Early diagnosis is particularly important for TC patients, because it allows …
Clinical Evaluation of an Artificial Intelligence-Based Decision Support System for the Diagnosis and American College of Radiology Thyroid Imaging Reporting and …
P Fernández Velasco, P Pérez López, B Torres Torres… - Thyroid, 2024 - liebertpub.com
Background: This study aimed to evaluate the clinical impact of an artificial intelligence (AI)-
based decision support system (DSS), Koios DS, on the analysis of ultrasound imaging and …
based decision support system (DSS), Koios DS, on the analysis of ultrasound imaging and …
Assessment of the Diagnostic Performance of a Commercially Available Artificial Intelligence Algorithm for Risk Stratification of Thyroid Nodules on Ultrasound
Background: Thyroid nodules are challenging to accurately characterize on ultrasound (US),
though the emergence of risk stratification systems and more recently artificial intelligence …
though the emergence of risk stratification systems and more recently artificial intelligence …
The Relevance of Thyroid Nodules in Vascular Ultrasound: A Case-Based Literature Review
DM Williams, EM Wooster… - Journal for Vascular …, 2025 - journals.sagepub.com
Thyroid nodules are found by ultrasound in up to 67% of the population, of which 1% to 15%
are malignant. As the thyroid may be imaged during a carotid study, vascular technologists …
are malignant. As the thyroid may be imaged during a carotid study, vascular technologists …
Method of Risk Stratification for Detecting Malignant C-TIRADS in Thyroid Nodules Based on Self-attention and Self-distillation
C **ngzhe, Q Taorong, H **aokang, X Pan - Journal of Computer-Aided Design & … - jcad.cn
The Chinese-thyroid imaging reporting and data system (C-TIRADS) provides a guideline
for determining the risk factor of malignant thyroid nodules. In order to solve the problem of …
for determining the risk factor of malignant thyroid nodules. In order to solve the problem of …
基于自注意力和自蒸馏的甲状腺结节恶性 C-TIRADS 危险分层检测方法
陈幸喆， 邱桃荣， 胡效康， 徐盼 - 计算机辅助设计与图形学学报 - jcad.cn
**超声甲状腺影像报告与数据系统为判断甲状腺恶性结节的危险系数提供了指导标准.
为了解决现有方法检测精度低的问题, 提出一种符合C-TIRADS 标准的基于自注意力和自蒸馏的 …
为了解决现有方法检测精度低的问题, 提出一种符合C-TIRADS 标准的基于自注意力和自蒸馏的 …