Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10950429PMC
http://dx.doi.org/10.1016/j.jaccao.2023.10.012DOI Listing

Publication Analysis

Top Keywords

addressing overlooked
4
overlooked orthostatic
4
orthostatic intolerance
4
intolerance syndromes
4
syndromes in hematopoietic
4
in hematopoietic stem
4
stem cell
4
cell transplant recipients
4
addressing
1
orthostatic
1

Similar Publications

Oral squamous cell carcinoma (OSCC) is the most common form of oral cancer, with increasing global incidence and have poor prognosis. Tumour-infiltrating lymphocytes (TILs) are recognized as a key prognostic indicator and play a vital role in OSCC grading. However, current methods for TILs quantification are based on subjective visual assessments, leading to inter-observer variability and inconsistent diagnostic reproducibility.

View Article and Find Full Text PDF

Lead-Grouped Multi-Stage Learning for Myocardial Infarction Localization.

Methods

January 2025

School of Design, Hunan University, Changsha, 410082, China. Electronic address:

The electrocardiogram (ECG) is a ubiquitous medical diagnostic tool employed to localize myocardial infarction (MI) that is characterized by abnormal waveform patterns on the ECG. MI is a serious cardiovascular disease, and accurate, timely diagnosis is crucial for preventing severe outcomes. Current ECG analysis methods mainly rely on intra- and inter-lead feature extraction, but most models overlook the medical knowledge relevant to disease diagnosis.

View Article and Find Full Text PDF

Background: Cervical spondylotic myelopathy (CSM) is a leading cause of spinal cord dysfunction in adults, often progressing silently. Static MRI is the standard imaging tool but may miss compression caused by neck movement. Dynamic MRI, by capturing flexion and extension views, provides a clearer picture of spinal cord compression, aiding surgical planning and improving outcomes.

View Article and Find Full Text PDF

Depression poses significant challenges to global healthcare systems and impacts the quality of life of individuals and their family members. Recent advancements in artificial intelligence (AI) have had a transformative impact on the diagnosis and treatment of depression. These innovations have the potential to significantly enhance clinical decision-making processes and improve patient outcomes in healthcare settings.

View Article and Find Full Text PDF

The growing global prevalence of diabetes mellitus (DM), along with its associated complications, continues to rise. When clinically detected most DM complications are irreversible. It is therefore crucial to detect and address these complications early and systematically in order to improve patient care and outcomes.

View Article and Find Full Text PDF

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!