Yonsei medical journal
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Yonsei medical journal · Nov 2021
Clinical TrialA Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm.
This study aimed to investigate whether a deep learning model for automated detection of unruptured intracranial aneurysms on time-of-flight (TOF) magnetic resonance angiography (MRA) can achieve a target diagnostic performance comparable to that of human radiologists for approval from the Korean Ministry of Food and Drug Safety as an artificial intelligence-applied software. ⋯ The present deep learning model for automated detection of unruptured intracranial aneurysms on TOF MRA achieved the target diagnostic performance comparable to that of human radiologists. With high standalone performance, this model may be useful for accurate and efficient diagnosis of intracranial aneurysm.
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Yonsei medical journal · Nov 2021
Indocyanine Green-Loaded PLGA Nanoparticles Conjugated with Hyaluronic Acid Improve Target Specificity in Cervical Cancer Tumors.
Indocyanine green (ICG) is a promising agent for intraoperative visualization of tumor tissues and sentinel lymph nodes in early-stage gynecological cancer. However, it has some limitations, including a short half-life and poor solubility in aqueous solutions. This study aimed to enhance the efficacy of near-infrared (NIR) fluorescence imaging by overcoming the shortcomings of ICG using a nano-drug delivery system and improve target specificity in cervical cancer. ⋯ This study demonstrated the successful application of HINPs as nanocarriers for delivering ICG to CD44-positive cervical cancer, with improved efficacy in NIR fluorescence imaging.