AIMC Topic: Delivery of Health Care

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Algorithm Change Protocols in the Regulation of Adaptive Machine Learning-Based Medical Devices.

Journal of medical Internet research
One of the greatest strengths of artificial intelligence (AI) and machine learning (ML) approaches in health care is that their performance can be continually improved based on updates from automated learning from data. However, health care ML models...

Intentional Observational Clinical Research Design: Innovative Design for Complex Clinical Research Using Advanced Technology.

International journal of environmental research and public health
The growing use of robots in nursing and healthcare facilities has prompted increasing research on human-robot interactions. However, specific research designs that can guide researchers to conduct rigorous investigations on human-robot interactions ...

Augmenting BDI Agency with a Cognitive Service: Architecture and Validation in Healthcare Domain.

Journal of medical systems
Autonomous intelligent systems are starting to influence clinical practice, as ways to both readily exploit experts' knowledge when contextual conditions demand so, and harness the overwhelming amount of patient related data currently at clinicians' ...

The IDeaS initiative: pilot study to assess the impact of rare diseases on patients and healthcare systems.

Orphanet journal of rare diseases
BACKGROUND: Rare diseases (RD) are a diverse collection of more than 7-10,000 different disorders, most of which affect a small number of people per disease. Because of their rarity and fragmentation of patients across thousands of different disorder...

Mobile 5P-Medicine Approach for Cardiovascular Patients.

Sensors (Basel, Switzerland)
Medicine is heading towards personalized care based on individual situations and conditions. With smartphones and increasingly miniaturized wearable devices, the sensors available on these devices can perform long-term continuous monitoring of severa...

COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare.

International journal of environmental research and public health
In the recent pandemic, accurate and rapid testing of patients remained a critical task in the diagnosis and control of COVID-19 disease spread in the healthcare industry. Because of the sudden increase in cases, most countries have faced scarcity an...

Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications.

Sensors (Basel, Switzerland)
Today's IoT deployments are highly complex, heterogeneous and constantly changing. This poses severe security challenges such as limited end-to-end security support, lack of cross-platform cross-vertical security interoperability as well as the lack ...

Stacked deep analytic model for human activity recognition on a UCI HAR database.

F1000Research
Background Owing to low cost and ubiquity, human activity recognition using smartphones is emerging as a trendy mobile application in diverse appliances such as assisted living, healthcare monitoring, etc. Analysing this one-dimensional time-series s...

[Heart failure care in a digitalized future : A discourse on resource-sparing structures and self-determined patients].

Der Internist
Digital health solutions, applications of artificial intelligence (AI) and new technologies, such as cardiac magnetic resonance imaging and cardiac human genetics are currently being validated in cardiac healthcare pathways. They show promising appro...

Deep Ensemble Learning Approaches in Healthcare to Enhance the Prediction and Diagnosing Performance: The Workflows, Deployments, and Surveys on the Statistical, Image-Based, and Sequential Datasets.

International journal of environmental research and public health
With the development of information and technology, especially with the boom in big data, healthcare support systems are becoming much better. Patient data can be collected, retrieved, and stored in real time. These data are valuable and meaningful f...