Radiology Commons^™

Utility Of Ebus-Tbna In Evaluating Mediastinal And Hilar Lymphadenopathy In Patients With Silica Exposure: A Retrospective Single-Center Study, Tarake M. Aljarod, Atul C. Mehta, Saroj Sigdel, Mark Jason Akers, John L. Saylor, Caleb S. Clark, Yousef Shweihat

Pulmonology

Background: Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is used effectively in staging lung cancer and in the evaluation of benign causes of mediastinal and/or hilar lymphadenopathy (MHL), such as sarcoidosis. However, evidence for its utility in the diagnostic workup of silicosis is limited.

Methods: This single-center retrospective study included patients with occupational silica exposure who underwent EBUS-TBNA to evaluate MHL on computed tomography (CT). Cytology specimens were re-examined by an independent pathologist under polarized microscopy, and cytologic criteria for the diagnosis of LN silicosis were formulated from the findings. Primary outcomes were the determination of the diagnostic yield (DY) of …

Ai In Radiology: Bridging The Gap Between Technology And Patient Care, Jordan Watts, Jeffrey Larson, Kasi Gorli, Alberto Coustasse

Management Faculty Research

Artificial Intelligence (AI) integration in healthcare, particularly within radiology, has grown rapidly, with 400 out of 520 FDA-approved AI algorithms explicitly designed for radiological applications as of 2023. AI has shown significant potential for enhancing healthcare delivery and improving patient outcomes (AHA, 2023); however, understanding the barriers, facilitators, and implications of AI implementation in radiology remains fragmented across existing studies. This study investigates AI's impact on radiology in three critical areas: diagnostic accuracy, interpretation times, and clinical workflow efficiency. We synthesize key findings regarding AI's contributions to radiology practices through a comprehensive literature review of 29 articles published between 2015 …

The Impacts Of Artificial Intelligence In Radiology, Misty Farmer, Wendy Trzyna

Theses, Dissertations and Capstones

Introduction: There has been significant growth in the use of Artificial Intelligence (AI) in the healthcare industry, especially in Medical Imaging. Radiology has been the clear frontrunner in the adoption of AI in medicine, due in part to the massive amount of digital data available for use in Deep Learning (DL) AI integration has the potential to solve multiple challenges in radiology, address workload issues and transform the field.

Purpose of the Study: The purpose of the research was to evaluate the impact of implementing Artificial Intelligence in radiology to determine if these technologies have had an impact …

Artificial Intelligence In Radiology, Olivia Sweeney

Theses, Dissertations and Capstones

Introduction: Artificial intelligence (AI) has increasingly transformed radiologic practice by improving diagnostic accuracy, streamlining workflows, and reducing interpretation errors. As AI integration has expanded across imaging modalities, questions have emerged regarding its effectiveness compared to traditional radiologist-only interpretation.

Purpose of Study: The purpose of this study has been to evaluate the impact of AI-assisted radiology on diagnostic accuracy, efficiency, and error reduction, while also assessing clinician perceptions of AI as a collaborative tool in imaging analysis.

Methodology: This qualitative study has used a systematic review of peer-reviewed literature published between 2015 and 2025, following PRISMA guidelines, combined with an interview …

The Measure Of Efficiency And Effectiveness When Using Artificial Intelligence (Ai) In Radiology, Jordan Watts

Theses, Dissertations and Capstones

Introduction: The use of artificial intelligence in radiology has helped radiologists identify patterns and abnormalities in medical images to diagnose and treat patients. Deep learning and machine learning algorithms have been used to assist physicians in detecting features that are not noticeable to the human eye. The FDA has approved almost 400 AI algorithms for radiology and estimated that the market for AI in medical imaging would grow from $21.48 billion in 2018 to $264.85 billion in 2028.

Purpose of the Study: The purpose of this research was to evaluate the use of artificial intelligence in radiology to determine its …

Going Beyond The Final Impression With Radiologic Data In The Era Of Clerical Medicine: A Case Report Of Coronary Artery Disease Found Incidentally On Computed Tomography, Andrea M. Lauffer

Marshall Journal of Medicine

Introduction:

Given the challenges in modern healthcare, physicians find themselves devoting a great deal of mental and emotional energy into executing the appropriate care for patients as well as performing their daily clerical duties. Many clinicians have resorted to innovative ways to minimize their tasks which often leads to narrowing the focus of a patient’s overall care and the birth of medical errors described in the Swiss cheese effect model.

Case Description:

A 66 year old male established care with a new primary care physician. Previous radiologic data revealed a pulmonary nodule that did not have appropriate follow up imaging. …

A Comparison Of Imaging Modalities For The Diagnosis Of Osteomyelitis, Brandon J. Smith, Md, Grant S. Buchanan, Md, Franklin D. Shuler, Md, Phd

Marshall Journal of Medicine

Osteomyelitis is an increasingly common pathology that often poses a diagnostic challenge to clinicians. Accurate and timely diagnosis is critical to preventing complications that can result in the loss of life or limb. In addition to history, physical exam, and laboratory studies, diagnostic imaging plays an essential role in the diagnostic process. This narrative review article discusses various imaging modalities employed to diagnose osteomyelitis: plain films, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, bone scintigraphy, and positron emission tomography (PET). Articles were obtained from Pubmed and screened for relevance to the topic of diagnostic imaging for osteomyelitis. The authors …

Traumatic Posterior Tibial Pseudoaneursym: A Rare Late Complication Repaired Conventionally, Farzad Amiri, Md, Zachary Sanford, Constantinous Constantinou, Md

Marshall Journal of Medicine

Posterior tibial artery pseudoaneurysms are extremely rare. They commonly present as a late complication of trauma or iatrogenic injury. Diagnosis can be elusive. Treatment has been described in the context of open primary repair, endovascular stenting, and coil embolization. There has been increasing interest in the use of endovascular treatment options for this type of injury. If left untreated, pseudoaneurysms can rupture, partially thrombose, expand and cause adjacent local compression and compartment syndrome. The following case presented is of a young gentleman with a posterior tibial pseudoaneurysm incidentally discovered after stepping on glass and the management of his posterior tibial …

Modern Evaluation Of Abdominal Trauma, Errington C. Thompson, Md, Chadwick J. Knight, Md

Marshall Journal of Medicine

Abdominal trauma can be mysterious to some physicians. If patients are evaluated for being stable or unstable, then abdominal trauma can be easily managed. Using a combination of physical examination, ultrasound and CT scans, patients can be quickly and efficiently evaluated.