Background: Convolutional neural networks (CNNs) are increasingly used to classify medical images, few studies utilize smartphone photographs. We assessed CNNs for differentiating patients from controls and detecting joint inflammation.
Methods: We included consecutive patients with early inflammatory arthritis and healthy controls, all examined by a rheumatologist (15% by two).
Introduction: Patients with diabetes have easy access to a wide range of digital applications that may help with self-management and lower barriers; however, robust evidence of their effectiveness remains somewhat elusive. Zyla is a medical artificial intelligence (AI)-based personalized care management app that assists the treating physician in improving the standard of patient care by offering the patients comprehensive and individualized care. This preliminary evaluation of data collected through the Zyla app aims to understand the impact of diabetes disease outcomes among patients subscribed to this app.
View Article and Find Full Text PDFAnnular pancreas is a rare congenital disorder, which is characterized by partial or complete pancreatic tissue surrounding the second part of the duodenum. It can be diagnosed antenatally on ultrasound. We are reporting a case where a double bubble sign on an antenatal scan was seen, which was followed up after the delivery of the baby, and radiography also confirmed the findings.
View Article and Find Full Text PDFJASA Express Lett
September 2024
Psychoacoustic stimulus presentation to the cochlear implant via direct audio input (DAI) is no longer possible for many newer sound processors (SPs). This study assessed the feasibility of placing circumaural headphones over the SP. Calibration spectra for loudspeaker, DAI, and headphone modalities were estimated by measuring cochlear-implant electrical output levels for tones presented to SPs on an acoustic manikin.
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