Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212659 | PMC |
| http://dx.doi.org/10.1016/j.arbres.2022.06.001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text.
JMIR Med Inform
January 2025
Medical Big Data Research Center, Chinese PLA General Hospital, Beijing, China.
Background: Machine learning models can reduce the burden on doctors by converting medical records into International Classification of Diseases (ICD) codes in real time, thereby enhancing the efficiency of diagnosis and treatment. However, it faces challenges such as small datasets, diverse writing styles, unstructured records, and the need for semimanual preprocessing. Existing approaches, such as naive Bayes, Word2Vec, and convolutional neural networks, have limitations in handling missing values and understanding the context of medical texts, leading to a high error rate.
View Article and Find Full Text PDFMYCN-amplified spinal ependymomas: a rare aggressive subtype. Illustrative cases.
J Neurosurg Case Lessons
January 2025
Department of Radiology and Biomedical Imaging, University of California, San Francisco, California.
Background: Spinal ependymomas are typically slow-growing tumors with a favorable prognosis. Recently, a new aggressive subtype has emerged with its own distinct histopathological and molecular features characterized by MYCN amplification. However, this subtype of spinal ependymoma is rare, and studies on its imaging characteristics are limited.
View Article and Find Full Text PDFIn this article, the authors propose a repurposing of the concept of entrustment to help guide the use of artificial intelligence (AI) in health professions education (HPE). Entrustment can help identify and mitigate the risks of incorporating generative AI tools with limited transparency about their accuracy, source material, and disclosure of bias into HPE practice. With AI's growing role in education-related activities, like automated medical school application screening and feedback quality and content appraisal, there is a critical need for a trust-based approach to ensure these technologies are beneficial and safe.
View Article and Find Full Text PDFLongitudinal changes of macular neurodegenerative and vascular abnormalities on OCTA in sickle cell disease.
Retina
January 2025
Department of Ophthalmology, Amsterdam UMC, Amsterdam, The Netherlands.
Purpose: To evaluate the presence and progression of maculopathy in patients with sickle cell disease (SCD) using Optical Coherence Tomography (OCT) and OCT-Angiography (OCTA), and to identify clinical/laboratory risk factors for progression during follow-up.
Methods: Complete ophthalmic examination, including fundoscopy and macular SD-OCT/OCTA scans, was performed in consecutive SCD-patients (HbSS/HbSβ0/HbSβ+/HbSC genotype) during baseline and follow-up visits. SCR stage was based on fundoscopy instead of the Goldberg classification, since fluorescein angiography was not routinely used.
The Utility of Cardiac Computed Tomographic Angiography in Differentiating Between Papillary Fibroelastoma, Infective Endocarditis, and Degeneration of the Aortic Valve.
J Comput Assist Tomogr
November 2024
From the Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD.
Purpose: Cardiac computed tomography angiography (CCTA) has significantly advanced the visualization of cardiac structures, particularly valves. We assessed the diagnostic performance of CCTA in diagnosing the most common disorders affecting the aortic valves requiring surgery-papillary fibroelastoma, infective endocarditis, and degeneration.
Methods: This retrospective study included patients who underwent aortic valve resection between 2016 and 2023 and had a preceding CCTA.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!