Objective: The use of computer-aided detection (CAD) in radiology has been studied for different organ systems. As with any new technology, its impact on determinations of standards of clinical practice is an evolving one that is often defined by its acceptability not only in medical forums but also as defined by courts of law.
Conclusion: We discuss the first known appellate legal decision regarding the acceptability of CAD as it relates to the clinical practice of mammography.
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http://dx.doi.org/10.2214/AJR.05.0215 | DOI Listing |
Sci Data
January 2025
Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia.
Primary malignant bone tumors are the third highest cause of cancer-related mortality among patients under the age of 20. X-ray scan is the primary tool for detecting bone tumors. However, due to the varying morphologies of bone tumors, it is challenging for radiologists to make a definitive diagnosis based on radiographs.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Applied Sciences, Macao Polytechnic University, Macao, 999078, China.
Data scarcity in medical images makes transfer learning a common approach in computer-aided diagnosis. Some disease classification tasks can rely on large homogeneous public datasets to train the transferred model, while others cannot, i.e.
View Article and Find Full Text PDFInt J Med Inform
January 2025
University of Coimbra, Faculty of Medicine, Coimbra, Portugal; Department of Gastroenterology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal. Electronic address:
Background: The wireless capsule endoscope (CE) is a valuable diagnostic tool in gastroenterology, offering a safe and minimally invasive visualization of the gastrointestinal tract. One of the few drawbacks identified by the gastroenterology community is the time-consuming task of analyzing CE videos.
Objectives: This article investigates the feasibility of a computer-aided diagnostic method to speed up CE video analysis.
F1000Res
January 2025
Faculty of Medicine and Health Sciences, Division of Epidemiology and Biostatistics, Stellenbosch University Centre for Evidence-Based Health Care, Cape Town, South Africa.
Background: Tuberculosis (TB) is a leading cause of death worldwide with over 90% of reported cases occurring in low- and middle-income countries (LMICs). Pre-treatment loss to follow-up (PTLFU) is a key contributor to TB mortality and infection transmission.
Objectives: We performed a scoping review to map available evidence on interventions to reduce PTLFU in adults with pulmonary TB, identify gaps in existing knowledge, and develop a conceptual framework to guide intervention implementation.
Heliyon
July 2024
College of Engineering and IT, University of Dubai, Academic City, 14143, Dubai, United Arab Emirates.
This study proposes a hierarchical automated methodology for detecting brain tumors in Magnetic Resonance Imaging (MRI), focusing on preprocessing images to improve quality and eliminate artifacts or noise. A modified Extreme Learning Machine is then used to diagnose brain tumors that are integrated with the Modified Sailfish optimizer to enhance its performance. The Modified Sailfish optimizer is a metaheuristic algorithm known for efficiently navigating optimization landscapes and enhancing convergence speed.
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