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Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design.
JMIR Med Inform
January 2025
Department of Systems Design Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada.
Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies.
Objective: The main objective of this study is to identify and analyze the variations in diagnostic decision-making approaches between novice and expert optometrists.
Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments.
Eur J Nucl Med Mol Imaging
January 2025
Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.
Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.
Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.
Multiple Myeloma: Improved Outcomes Resulting from a Rapidly Expanding Number of Therapeutic Options.
Target Oncol
January 2025
Berenson Cancer Center, West Hollywood, CA, USA.
Multiple myeloma (MM) is a bone-marrow-based cancer of plasma cells. Over the last 2 decades, marked treatment advances have led to improvements in the overall survival (OS) of patients with this disease. Key developments include the use of chemotherapy, immunomodulatory drugs, proteasome inhibitors, and monoclonal antibodies.
View Article and Find Full Text PDFEstablishment of Scoring to Predict Severe Complication After Pyogenic Spondylodiscitis Surgery.
Clin Spine Surg
January 2025
Department of Orthopaedic Surgery, Osaka University Graduate School of Medicine.
Study Design: Retrospective cohort study using prospective database.
Objective: This study aimed to establish a risk-scoring system for predicting severe complications after pyogenic spondylodiscitis surgery.
Summary Of Background Data: Pyogenic spondylodiscitis surgery can cause severe complications.
Quality-of-Life Measurement in Epidermolysis Bullosa. Position Statement of the European Academy of Dermatology and Venereology Task Force on Quality of Life and Patient-Oriented Outcomes and External Experts.
Int J Dermatol
January 2025
Department of Dermatology, Zealand University Hospital, Roskilde, Denmark.
In this paper, the European Academy of Dermatology and Venereology (EADV) Task Force on Quality of Life (QoL) and Patient-Oriented Outcomes presents its position statements on health-related (HR) QoL assessment in epidermolysis bullosa (EB). The EADV TF on QoL and Patient-Oriented Outcomes recommends the use of the EB-specific instrument QOLEB in patients over the age of 10 years and, in addition to the QOLEB, the use of iscorEB-p in moderate-to-severe EB; the IntoDermQoL proxy instrument with its EB-specific module should be used in children aged under 5 years. The EB-specific instrument iscorEB-p, and the dermatology-specific instrument CDLQI may measure HRQoL in children with EB aged from 5 to 10 years.
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