Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Shujun, Xia"'
Publikováno v:
Advanced Ultrasound in Diagnosis and Therapy, Vol 8, Iss 4, Pp 250-254 (2024)
Objective: This study aims to assess the performance of the Chat Generative Pre-Trained Transformer (ChatGPT), specifically versions GPT-3.5 and GPT-4, on ultrasonography board-style questions, and subsequently compare it with the performance of thir
Externí odkaz:
https://doaj.org/article/2b86d643dce64d5c9d83caded3c6b985
Publikováno v:
International Journal of Hyperthermia, Vol 41, Iss 1 (2024)
AbstractPurpose This study aimed to compare the efficacy and safety of ultrasound-guided RFA and MWA in the treatment of unifocal PTMC.Methods This retrospective study included 512 patients with 512 unifocal papillary thyroid microcarcinomas (PTMCs)
Externí odkaz:
https://doaj.org/article/8c608d1238404d1085d34a131c8bb83f
Autor:
Xinhai Zhang, Chenglong Wang, Shujun Xia, Fei Xiao, Jianping Peng, Yuxuan Gao, Fengbin Yu, Chuandong Wang, Xiaodong Chen
Publikováno v:
Genes and Diseases, Vol 10, Iss 5, Pp 2064-2081 (2023)
Small nucleolar RNAs (snoRNAs) play critical roles in various biological processes. The aberrant expression or depletion of snoRNAs is related to various diseases. In previous research, most of the snoRNAs were categorized as C/D box snoRNAs and H/AC
Externí odkaz:
https://doaj.org/article/0b13379465814a48a1c59097efe6d84b
Publikováno v:
Advanced Ultrasound in Diagnosis and Therapy, Vol 7, Iss 2, Pp 136-139 (2023)
Artificial intelligent (AI) based on deep learning has been used in medical imaging analysis for years. Improvements have been made in the diagnosis of various diseases with the help of deep learning. Multimodal medical imaging combines two or more i
Externí odkaz:
https://doaj.org/article/3920b59798154c53b635f6134c85fb38
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundUltrasonography is an important imaging method for clinical breast cancer screening. As the original echo signals of ultrasonography, ultrasound radiofrequency (RF) signals provide abundant tissue macroscopic and microscopic information and
Externí odkaz:
https://doaj.org/article/22d3dd3f68ea4f4a9dddea8ae53c35b0
Publikováno v:
Advanced Science, Vol 10, Iss 6, Pp n/a-n/a (2023)
Abstract Covalent organic frameworks (COFs) have attracted increasing attention for biomedical applications. COFs‐based nanosensitizers with uniform nanoscale morphology and tumor‐specific curative effects are in high demand; however, their synth
Externí odkaz:
https://doaj.org/article/28ad33a4f75a42d69f3ee797e67087bb
Publikováno v:
World Journal of Surgical Oncology, Vol 17, Iss 1, Pp 1-8 (2019)
Abstract Background The evaluation of thyroid nodules with ultrasonography has created a large burden for radiologists. Artificial intelligence technology has been rapidly developed in recent years to reduce the cost of labor and improve the differen
Externí odkaz:
https://doaj.org/article/287aad30d2164d22bef571cb59e78c64
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesA novel ultrasound contrast agent (UCA) VEGFR2-targeting iron-doped silica (SiO2) hollow nanoparticles (VEGFR2-PEG-HSNs-Fe NPs) was prepared and applied in microwave ablation for breast cancer to investigate its value in the evaluation of e
Externí odkaz:
https://doaj.org/article/b24dd26f9f7b4e20b2593258255a7c2f
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundTo compare the sampling adequacy and diagnostic efficiency of ultrasound-guided fine-needle aspiration with 22-, 25-gauge needles and capillary sampling with 22-gauge needle in the biopsy of cervical lymph node.MethodsA total of 130 cervica
Externí odkaz:
https://doaj.org/article/e2de895a155f4bf8bacb295987115506
Publikováno v:
Aging. 14:1389-1406
Radiofrequency ablation (RFA) is a frequently used thermal ablation technique for breast tumors. The study aimed to identify the effect of sublethal heat treatment on biological function of breast cancer cells and reveal its potential molecular mecha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efe765f791303688f3c5bfc205886bfb
https://doi.org/10.18632/aging.203884
https://doi.org/10.18632/aging.203884