A Comprehensive Survey on Federated Learning: Concept and Applications [PDF]
Lecture Notes on Data Engineering and Communications Technologies
2022, 2022 This paper provides a comprehensive study of Federated Learning (FL) with an emphasis on components, challenges, applications and FL environment. FL can be applicable in multiple fields and domains in real-life models. in the medical system, the privacy of patients records and their medical condition is critical data, therefore collaborative learning ...
arxiv
Frontiers in Public Health, 2023 BackgroundCoronavirus disease 2019 (COVID-19) has progressively impacted our daily lives, resulting in unexpected physical and mental stress on medical staff.
Lin Tang +8 more
doaj +1 more source
Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases [PDF]
, 2016 This paper presents the QAMDiagnos, a model of Quantum Associative Memory (QAM) that can be a helpful tool for medical staff without experience or laboratory facilities, for the diagnosis of four tropical diseases (malaria, typhoid fever, yellow fever and dengue) which have several similar signs and symptoms.
arxiv +1 more source
Skin disease diagnosis using image analysis and natural language processing [PDF]
arXiv, 2022 In Zambia, there is a serious shortage of medical staff where each practitioner attends to about 17000 patients in a given district while still, other patients travel over 10 km to access the basic medical services. In this research, we implement a deep learning model that can perform the clinical diagnosis process.
arxiv
Mental Health Literacy Levels of Medical Staff in China: An Assessment Based on a Meta-Analysis
Frontiers in Psychiatry, 2021 Background: The awareness rate of mental health knowledge among medical staff is an important evaluation index to assess the service capacity of a country or region, and this indicator in China has not been quantitatively evaluated.Study Design: This ...
Shengyu Guo +3 more
doaj +1 more source
A Community-Driven Validation Service for Standard Medical Imaging Objects [PDF]
, 2018 Digital medical imaging laboratories contain many distinct types of equipment provided by different manufacturers. Interoperability is a critical issue and the DICOM protocol is a de facto standard in those environments. However, manufacturers' implementation of the standard may have non-conformities at several levels, which will hinder systems ...
arxiv +1 more source
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students [PDF]
arXiv, 2022 In order to be able to use artificial intelligence (AI) in medicine without scepticism and to recognise and assess its growing potential, a basic understanding of this topic is necessary among current and future medical staff. Under the premise of "trust through understanding", we developed an innovative online course as a learning opportunity within ...
arxiv
Automatic Work-Hours Recorder for Medical Staff (Staff Hours): Mobile App Development
JMIR mHealth and uHealth, 2020 BackgroundThere are numerous mobile apps for tracking work hours, but only a few of them record work hours automatically instead of relying on manual logging.
Chiang, Ting-Wei +3 more
doaj +1 more source
Prediction of Personal Protective Equipment Use in Hospitals During COVID-19 [PDF]
arXiv, 2020 Demand for Personal Protective Equipment (PPE) such as surgical masks, gloves, and gowns has increased significantly since the onset of the COVID-19 pandemic. In hospital settings, both medical staff and patients are required to wear PPE. As these facilities resume regular operations, staff will be required to wear PPE at all times while additional PPE
arxiv
Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós +11 more
wiley +1 more source