AIMC Topic: Monitoring, Physiologic

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An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation.

The Lancet. Digital health Dec 1, 2022
BACKGROUND: Electroencephalogram (EEG) monitoring is recommended as routine in newborn neurocritical care to facilitate early therapeutic decisions and outcome predictions. EEG's larger-scale implementation is, however, hindered by the shortage of ex...
Infant, Newborn Infant Humans Brain Monitoring, Physiologic Electroencephalography Sleep Deep Learning Child
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[Research on Comprehensive Safety Monitoring System for Elderly Care Based on Artificial Intelligence and Information Fusion].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Nov 30, 2022
Nowadays, China has entered into an aging society; how to ensure safety in elderly care has drawn social attention. Through artificial intelligence and multi-information fusion research, combined with the applications of machine learning algorithms, ...
Machine Learning Algorithms China Monitoring, Physiologic Aged Humans Artificial Intelligence
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[The future patient monitoring in the bed ward].

Ugeskrift for laeger Aug 29, 2022
Current monitoring of vital signs in hospital wards rely on infrequent manual measurements. This narrative review describes how new wearable devices with artificial intelligence interpretation may overcome this challenge by providing nurses with cont...
Artificial Intelligence Hospitals Wearable Electronic Devices Humans Monitoring, Physiologic Vital Signs
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Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Preterm babies in the Neonatal Intensive Care Unit (NICU) have to undergo continuous monitoring of their cardiac health. Conventional monitoring approaches are contact-based, making the neonates prone to various nosocomial infections. Video-based mon...
Heart Rate Cross Infection Deep Learning Monitoring, Physiologic Intensive Care Units, Neonatal Humans Infant, Newborn Infant
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[Intelligent fault diagnosis expert system for multi-parameter monitor based on fault tree].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2022
Aiming at the dilemma of expensive and difficult maintenance, lack of technical data and insufficient maintenance force for modern medical equipment, an intelligent fault diagnosis expert system of multi-parameter monitor based on fault tree was prop...
Expert Systems Monitoring, Physiologic
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Harnessing of real-world data and real-world evidence using digital tools: utility and potential models in rheumatology practice.

Rheumatology (Oxford, England) Feb 2, 2022
The diversity of diseases in rheumatology and variability in disease prevalence necessitates greater data parity in disease presentation, treatment responses including adverse events to drugs and various comorbidities. Randomized controlled trials ar...
Rheumatic Diseases Big Data Monitoring, Physiologic Humans Artificial Intelligence
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A deep learning-based medication behavior monitoring system.

Mathematical biosciences and engineering : MBE Jan 28, 2021
The internet of things (IoT) and deep learning are emerging technologies in diverse research fields, including the provision of IT services in medical domains. In the COVID-19 era, intelligent medication behavior monitoring systems for stable patient...
Assessment of Medication Adherence Deep Learning Directly Observed Therapy Wearable Electronic Devices Internet of Things Pandemics Biomedical Engineering Humans Monitoring, Physiologic SARS-CoV-2 Equipment Design Computer Systems Neural Networks, Computer COVID-19 Drug Treatment Medication Adherence Software
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PV[O]H: Noninvasive Enabling Technology, New Physiological Monitoring, and Big Data.

Military medicine Jan 25, 2021
INTRODUCTION: Measures of normal and abnormal physiology are interrelated and vary continuously. Our ability to detect and predict changes in physiology in real time has been limited in part by the requirement for blood sampling and the lack of a con...
Humans Artificial Intelligence Big Data Monitoring, Physiologic Technology Bayes Theorem
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Eight ways machine learning is assisting medicine.

Nature medicine Jan 1, 2021
Prognosis Monitoring, Physiologic Machine Learning Humans Medicine Clinical Trials as Topic
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[Clinical research of a continuous auscultation recorder based on artificial intelligence].

Zhonghua yi xue za zhi Nov 3, 2020
To investigate the feasibility and clinical significance of a continuous auscultation recorder of bowel sounds based on artificial intelligence in monitoring the bowel sounds. From November 1,2018 to August 12,2019, a continuous auscultation record...
Auscultation Monitoring, Physiologic Gastrointestinal Motility Humans Artificial Intelligence
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