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Found 5 papers, 1 papers with code
CDRH Seeks Public Comment: Digital Health Technologies for Detecting Prediabetes and Undiagnosed Type 2 Diabetes
This document provides responses to the FDA's request for public comments (Docket No FDA 2023 N 4853) on the role of digital health technologies (DHTs) in detecting prediabetes and undiagnosed type 2 diabetes.
Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis
In the realm of medical imaging, the training of machine learning models necessitates a large and varied training dataset to ensure robustness and interoperability.
A perspective on the use of health digital twins in computational pathology
A digital health twin can be defined as a virtual model of a physical person, in this specific case, a patient.
Computational pathology in renal disease: a comprehensive perspective
Computational pathology is a field that has complemented various subspecialties of diagnostic pathology over the last few years.
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)
For detecting COVID-19 in particular, the model performs with a sensitivity of 0. 96, a specificity of 0. 79 and F1-score of 0. 92 in a 5-fold cross validation.
