Recent advancements in artificial intelligence (AI) have revolutionized the field of image generation.This has concurrently escalated social problems and concerns related to AI image generation, underscoring the necessity for an effective AI-generated-image detection method.Therefore, numerous methods for detecting AI-generated images have been dev
Removal of a foreign body by rigid bronchoscope after virtual reality-aided presurgical planning: A case report
Flexible bronchoscopy is becoming increasingly important for the removal of airway foreign bodies.However, in cases of risk of coughing during the procedure, rigid bronchoscopic intervention should be performed under general anesthesia.A 22-year-old man presented with history of several episodes of fever, for which he was administered antibiotics a
Outcomes associated with conventional versus lipid-based formulations of amphotericin B in propensity-matched groups
Rebecca S Campbell,1 Paresh Chaudhari,2 Harlen D Hays,1 Robert J Taylor,1 Brian H Nathanson,3 Samuel A Bozzette,1 David Horn4 1Cerner Research, Culver City, CA, USA; 2Astellas Scientific and Medical Affairs, Inc., Northbrook, IL, USA; 3OptiStatim, LLC, Longmeadow, MA, USA; 4David Horn LLC, Doylestown, PA, USA Background: Lipid-based formulations of
Deep Learning-Based Segmentation and Classification Techniques for Brain Tumor MRI: A Review
Early detection of brain tumors is critical for enhancing treatment options and extending patient survival.Magnetic resonance imaging (MRI) scanning gives more detailed information, such as greater contrast and clarity than any other scanning method.Manually dividing brain tumors from many MRI images collected in clinical practice for cancer diagno
Using search trends to analyze web-based users’ behavior profiles connected with COVID-19 in mainland China: infodemiology study based on hot words and Baidu Index
Background Mainland China, the world’s most populous region, experienced a large-scale coronavirus disease 2019 (COVID-19) outbreak in 2020 and 2021, respectively.Existing infodemiology studies have primarily concentrated on the prospective surveillance of confirmed cases or symptoms which met the criterion for investigators; nevertheless, the ac