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Introduction: The aim of this study is to evaluate the performance of the offline smart phone-based Medios artificial intelligence (AI) algorithm in the diagnosis of diabetic retinopathy (DR) using non-mydriatic (NM) retinal images.
Methods: This cross-sectional study prospectively enrolled 922 individuals with diabetes mellitus. NM retinal images (disc and macula centered) from each eye were captured using the Remidio NM fundus-on-phone (FOP) camera. The images were run offline and the diagnosis of the AI was recorded (DR present or absent). The diagnosis of the AI was compared with the image diagnosis of five retina specialists (majority diagnosis considered as ground truth).
Results: Analysis included images from 900 individuals (252 had DR). For any DR, the sensitivity and specificity of the AI algorithm was found to be 83.3% (95% CI 80.9% to 85.7%) and 95.5% (95% CI 94.1% to 96.8%). The sensitivity and specificity of the AI algorithm in detecting referable DR (RDR) was 93% (95% CI 91.3% to 94.7%) and 92.5% (95% CI 90.8% to 94.2%).
Conclusion: The Medios AI has a high sensitivity and specificity in the detection of RDR using NM retinal images.
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http://dx.doi.org/10.1136/bmjdrc-2019-000892 | DOI Listing |
J Ultrasound Med
September 2025
Evandro Chagas Infectious Diseases National Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Objectives: The risk of major venous thromboembolism (VTE) among patients with COVID-19 is high but varies with disease severity. Estimate the incidence of lower extremity deep venous thrombosis (DVT) in critically ill hospitalized patients with COVID-19, validate the Wells score for DVT diagnosis, and determine patients' prognosis.
Methods: This was an observational follow-up study in the context of the diagnosis and prognosis of DVT.
Dan Med J
August 2025
Department of Hepatology and Gastroenterology, Aarhus University Hospital.
Introduction: A no-biopsy approach has been suggested for diagnosing coeliac disease (CD) in adult patients. This approach is already well established in diagnosing children with CD. This study aimed to evaluate the accuracy of IgA anti-tissue transglutaminase (IgA anti-tTG) in predicting duodenal mucosal lesions diagnostic of CD in adult patients.
View Article and Find Full Text PDFEur J Case Rep Intern Med
August 2025
Department of Internal Medicine, Wayne State University School of Medicine, Trinity Health Oakland Hospital, Pontiac, USA.
Background: Invasive central nervous system (CNS) aspergillosis is rare among human immunodeficiency virus (HIV)-positive patients due to preserved neutrophil function, despite significant CD4+ T-cell depletion. Diagnosis typically requires histopathologic confirmation, but polymerase chain reaction (PCR) testing has introduced new challenges due to its high sensitivity but limited specificity.
Case Presentation: We describe a newly diagnosed 43-year-old HIV-positive male with concurrent Hodgkin lymphoma who presented with progressive neurological decline and a ring-enhancing brain lesion.
Int J Chron Obstruct Pulmon Dis
September 2025
The First Clinical Medical College of Lanzhou University, Lanzhou, People's Republic of China.
Chronic Obstructive Pulmonary Disease (COPD) is a prevalent chronic respiratory disorder characterized by airway inflammation and irreversible airflow limitation. Its marked heterogeneity and complexity pose significant challenges to traditional clinical assessments in terms of prognostic prediction and personalized management. In recent years, the exploration of biomarkers has opened new avenues for the precise evaluation of COPD, particularly through multi-biomarker prediction models and integrative multimodal data strategies, which have substantially improved the accuracy and reliability of prognostic assessments.
View Article and Find Full Text PDFVet Anim Sci
December 2025
Hunan Provincial Key Laboratory of the Traditional Chinese Medicine Agricultural Biogenomics, Changsha Medical University, Changsha 410219, China.
Muscovy duck reovirus (MDRV) and Novel duck reovirus (NDRV) are highly infectious diseases of waterfowl, causing significant harm to the global poultry industry. Early detection and diagnosis of NDRV and MDRV in clinical samples are crucial for effectively preventing and controlling these diseases. This study developed a duplex crystal digital PCR (dPCR) assay for the differential detection of NDRV and MDRV.
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