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Can ACR TI-RADS predict the malignant risk of medullary thyroid cancer?
J Clin Transl Endocrinol
March 2025
Department of Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China.
Objectives: This study aimed to evaluate the diagnostic performance for medullary thyroid cancer (MTC) based on the 2017 Thyroid Imaging Reporting and Data System by the American College of Radiology (ACR TI-RADS) guideline, and the ability to recommend fine needle aspiration (FNA) for MTC.
Methods: Fifty-six MTCs were included, and 168 benign thyroid nodules (BTNs) and 168 papillary thyroid nodules (PTCs) were matched according to age. Ultrasound (US) features were reviewed according to ACR TI-RADS.
Using the Regression Slope of Training Loss to Optimize Chest X-ray Generation in Deep Convolutional Generative Adversarial Networks.
Cureus
January 2025
Department of Critical Care Medicine, Jen Ho Hospital, Show Chwan Health Care System, Changhua, TWN.
Diffusion models, variational autoencoders, and generative adversarial networks (GANs) are three common types of generative artificial intelligence models for image generation. Among these, GANs are the most frequently used for medical image generation and are often employed for data augmentation in various studies. However, due to the adversarial nature of GANs, where the generator and discriminator compete against each other, the training process can sometimes end with the model unable to generate meaningful images or even producing noise.
View Article and Find Full Text PDFAtypical Lesions in Virchow-Robin Spaces: A Case Report.
Cureus
January 2025
Anesthesiology, Universidad Abierta Interamericana, Buenos Aires, ARG.
The differentiation between benign and malignant brain lesions remains a fundamental challenge in modern neuroimaging. This case highlights a rare presentation of ectatic Virchow-Robin spaces (VRS), which mimicked tumefactive brain lesions and required a comprehensive diagnostic evaluation to exclude neoplastic, infectious, and inflammatory processes. A 37-year-old female presented with progressive headache, cognitive impairment, and facial pain.
View Article and Find Full Text PDFEnhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2.
MethodsX
June 2025
Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Tamil Nadu 600062, India.
The disease affects the optic nerve and represents the principle reasons of irreversible vision loss, mostly asymptomatic and uncontrolled. Consequently, early and accurate diagnosis is critical to prevent or reduce its effect, however, conventional diagnostic techniques often fail to provide concrete results. In this regard, we present a new approach built on Generative Adversarial Networks (GAN) and MobileNetV2 pretrained architecture for diagnosing glaucoma.
View Article and Find Full Text PDFNumerical and experimental methods for the assessment of a human finger-inspired soft pneumatic actuator for gripping applications.
MethodsX
June 2025
Department of Artificial Intelligence and Machine Learning, Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Lavale, Pune, Maharashtra, India.
The increasing demand for soft robotic systems in agricultural, biomedical and other applications has driven the development of actuators that can mimic the flexibility and adaptability of human muscles. Several studies have explored the design and implementation of soft actuators for robotic applications, however, there is a need for soft actuators demonstrating delicate gripping capabilities but also excel in specific biomedical applications, such as therapeutic massaging. The objective of this work is to develop a multi-finger soft pneumatic actuator mimicking human fingers for Ayurvedic therapeutic massaging and gripping applications.
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