Lung cancer is one of the most common cancer and the leading cause of cancer-related death worldwide. Early detection of lung cancer can help reduce the death rate; therefore, the identification of potential biomarkers is crucial. Thus, this study ai...
INTRODUCTION: Advances in artificial intelligence (AI) offer physical therapy educators opportunities to improve student learning. We applied AI to identify themes and determine the extent to which physical therapy professional values were reflected ...
The Journal of the American Academy of Orthopaedic Surgeons
Feb 26, 2025
INTRODUCTION: Pickleball is one of the fastest growing sports in the United States. Despite its popularity, there is limited research on pickleball-related orthopaedic injuries, particularly in the spine. This study aims to provide a deeper understan...
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Feb 26, 2025
This shadow deployment evaluated an externally-developed AI tool to predict disposition using chest X-rays (CXR) in patients with community-acquired pneumonia (CAP) in the Emergency Department (ED). Retrospective and prospective external validations...
BACKGROUND: The US Food and Drug Administration (FDA) has raised concerns about a potential link between trimethoprim/sulfamethoxazole (TMP-SMX) and an increased risk of acute respiratory failure/acute respiratory distress syndrome (ARF/ARDS) in heal...
BACKGROUND: Hepatocellular carcinoma (HCC) exhibits a high recurrence rate, and early recurrence significantly jeopardizes patient prognosis, necessitating reliable methods for early recurrence prediction.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Feb 26, 2025
Forensic analysis of dyed hair by using Attenuated Total Reflectance Fourier Transform Infrared (ATR FT-IR) Spectroscopy and Surface Enhanced Raman Spectroscopy (SERS) was undertaken to differentiate between commercial hair dye brands. Human hair sam...
STATEMENT OF PROBLEM: Accurately registering intraoral and cone beam computed tomography (CBCT) scans in patients with metal artifacts poses a significant challenge. Whether a cloud-based platform trained for artificial intelligence (AI)-driven segme...
RATIONALE AND OBJECTIVES: This study constructed an interpretable machine learning model based on multi-parameter MRI sub-region habitat radiomics and clinicopathological features, aiming to preoperatively evaluate the microsatellite instability (MSI...
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