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Evaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases.
Eur Radiol Exp
January 2025
Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA.
Background: This retrospective study aims to evaluate the impact of a content-based image retrieval (CBIR) application on diagnostic accuracy and confidence in interstitial lung disease (ILD) assessment using high-resolution computed tomography CT (HRCT).
Methods: Twenty-eight patients with verified pattern-based ILD diagnoses were split into two equal datasets (1 and 2). The images were assessed by two radiology residents (3rd and 5th year) and one expert radiologist in four sessions.
From Ancient Remedies to Robotic Precision: An Otolaryngology Journey.
Indian J Otolaryngol Head Neck Surg
December 2024
Department of Surgery, Command Hospital Air Force, Jogupalya, Bangalore India.
This review traces the historical development of otolaryngology, a medical specialty focused on diagnosing and treating ear, nose, and throat (ENT) disorders. The paper highlights key milestones and innovations shaping the field from ancient times to the modern era. The study involves a comprehensive review of historical texts and medical literature, examining advancements in otolaryngology.
View Article and Find Full Text PDFTelesurgery, the remote execution of surgical procedures through telecommunication and robotic systems, has witnessed substantial growth in recent years, promising to address global healthcare disparities and enhance surgical expertise. This paper explores the humanitarian and surgical benefits of telesurgery, emphasizing its potential to provide expert surgical care to underserved regions. Despite its transformative potential, telesurgery faces significant technologic challenges, including issues of data transmission, latency, and the need for advanced robotic platforms.
View Article and Find Full Text PDFClinical utility of artificial intelligence-augmented endobronchial ultrasound elastography in lymph node staging for lung cancer.
JTCVS Tech
October 2024
Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada.
Objective: Endobronchial ultrasound elastography produces a color map of mediastinal lymph nodes, with the color blue (level 60) indicating stiffness. Our pilot study demonstrated that predominantly blue lymph nodes, with a stiffness area ratio greater than 0.496, are likely malignant.
View Article and Find Full Text PDFExternal evaluation of a commercial artificial intelligence-augmented digital auscultation platform in valvular heart disease detection using echocardiography as reference standard.
Int J Cardiol
January 2025
Artificial Intelligence for Medical Systems (AIMS) Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.
Article Synopsis
- The study evaluates the accuracy of the Eko murmur analysis software (EMAS) in detecting valvular heart disease (VHD) by comparing it to echocardiography (ECHO) results.
- Data from 1,029 individuals were analyzed, revealing that EMAS had a sensitivity of 39.4% and a specificity of 82.4% for detecting murmurs related to VHD.
- While EMAS shows better sensitivity for certain VHD types, its overall limited sensitivity suggests it may not be reliable as a screening tool for all forms of VHD.
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