Artificial intelligence

Grand Challenges at the Interface of Engineering and Medicine
Grand Challenges at the Interface of Engineering and Medicine 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Over the past two decades Biomedical Engineering has emerged as a major discipline that bridges societal needs of human health care with the development of novel technologies. Every medical institution… read more

A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features
A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: The purpose of this study is to evaluate the importance of cardiorespiratory variables within a Reinforcement Learning (RL) recommendation system aimed at establishing optimal strategies for drug treatment of… read more

SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin
SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Dynamically monitoring serotonin in real-time within target brain regions would significantly improve the diagnostic and therapeutic approaches to a variety of neurological and psychiatric disorders. Current systems for measuring… read more

A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic
Author(s)3: Xiaoshuai Chen, Shuo Jiang, Zeyu Li, Benny P.L. Lo
A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Goal: The SARS-CoV-2 viral infection could cause severe acute respiratory syndrome disturbing the regular breathing and leading to continuous coughing. Automatic respiration monitoring systems could provide the necessary metrics and…

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COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings
Author(s)3: Jordi Laguarta, Ferran Hueto, Brian Subirana
COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings 200 200 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
We hypothesized that COVID-19 subjects, especially including asymptomatics, could be accurately discriminated only from a forced-cough cell phone recording using Artificial Intelligence. To train our MIT Open Voice model we built a data collection pipeline of COVID-19 cough recordings through our website (opensigma.mit.edu) between April and May 2020 and created the largest audio COVID-19 cough balanced dataset reported to date with 5,320 subjects. read more
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