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期刊名:Frontiers in medical technology

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ISSN:N/A

e-ISSN:2673-3129

IF/分区:4.6/Q2

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共收录本刊相关文章索引471
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Limei Cai,Yijing Li,Yonggang Liu et al. Limei Cai et al.
Objectives: This article is a narrative review that synthesizes current evidence on orotracheal intubation-related oral mucosal membrane pressure injuries in intensive care unit (ICU) patients, focusing on mechanisms, ris...
Vipin Kumar,Shivani Sharma,Anchal Singh Vipin Kumar
Nanoparticle-based drug delivery systems, such as liposomes, polymeric micelles, dendrimers, and other nanosized carriers, have emerged as promising strategies to improve the targeted delivery of therapeutic agents to the brain. These nanop...
Jiali Cheng,Yi Zhu Jiali Cheng
Introduction: Plant-derived exosome-like nanoparticles (PELNs) are currently a hot research topic, which have been confirmed to have similar structures and functions to mammalian-derived exosomes. PELNs are lipid bilayer ...
Belen R Ballester,Matthew Reaney,Christina Mack et al. Belen R Ballester et al.
Digital Health Technologies (DHTs) hold immense potential for transforming drug development. Although innovation in the DHT space has been rapid, the approval process for these technologies remains slow due to fragmented efforts from indust...
Nafees Ahmed,Vishwas Gaur,Madhu Kamle et al. Nafees Ahmed et al.
The rising global rates of metabolic disorders, such as obesity, type 2 diabetes, non-alcoholic fatty liver disease, and metabolic syndrome, call for new treatment methods beyond traditional drugs. The human gut microbiota, made up of trill...
Dost Muhammad,Malika Bendechache Dost Muhammad
Background: Magnetic Resonance Imaging (MRI) and ultrasound are central to tumour diagnosis and treatment planning. Although Deep learning (DL) models achieve strong prediction performance, high computational demand and l...
Dominik T Schulte,Carolina Pietsch,Natalija Topalovic et al. Dominik T Schulte et al.
Purpose: Magnetic resonance imaging (MRI) during cardiopulmonary bypass is hindered by the incompatibility of conventional heart-lung machines, which contain metallic components that interfere with the MRI environment. Th...
Geerthy Thambiraj,George Bazoukis,Amir Ghabousian et al. Geerthy Thambiraj et al.
Background: Artificial intelligence (AI)-based models can augment clinical decision-making, including prediction, diagnosis, and treatment, in all aspects of medicine. ...