AI Medical Compendium Topic:
Delivery of Health Care

Clear Filters Showing 791 to 800 of 1516 articles

Reporting of screening and diagnostic AI rarely acknowledges ethical, legal, and social implications: a mass media frame analysis.

BMC medical informatics and decision making
BACKGROUND: Healthcare is a rapidly expanding area of application for Artificial Intelligence (AI). Although there is considerable excitement about its potential, there are also substantial concerns about the negative impacts of these technologies. S...

A plea to merge clinical and public health practices: reasons and consequences.

BMC health services research
BACKGROUND: Revisiting professionalism, both as a medical ideal and educational topic, this paper asks whether, in the rise of artificial intelligence, healthcare commoditisation and environmental challenges, a rationale exists for merging clinical a...

EPTs-TL: A two-level approach for efficient event prediction in healthcare.

Artificial intelligence in medicine
Recently, the event prediction on time series (EPTs) was discussed as one of the important and interesting research trends that its usage is growing for taking proper decisions in the various sciences. In the real-world, time series event-based analy...

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective.

BMC medical informatics and decision making
BACKGROUND: Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in certain analytical tasks, the l...

A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues.

Journal of biomedical informatics
In the last few years, the application of Machine Learning approaches like Deep Neural Network (DNN) models have become more attractive in the healthcare system given the rising complexity of the healthcare data. Machine Learning (ML) algorithms prov...

An empirical characterization of fair machine learning for clinical risk prediction.

Journal of biomedical informatics
The use of machine learning to guide clinical decision making has the potential to worsen existing health disparities. Several recent works frame the problem as that of algorithmic fairness, a framework that has attracted considerable attention and c...

Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature.

Journal of medical Internet research
BACKGROUND: The COVID-19 pandemic is favoring digital transitions in many industries and in society as a whole. Health care organizations have responded to the first phase of the pandemic by rapidly adopting digital solutions and advanced technology ...

Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System.

Sensors (Basel, Switzerland)
Human motion analysis using a smartphone-embedded accelerometer sensor provided important context for the identification of static, dynamic, and complex sequence of activities. Research in smartphone-based motion analysis are implemented for tasks, s...

Artificial Intelligence in Health Care: Current Applications and Issues.

Journal of Korean medical science
In recent years, artificial intelligence (AI) technologies have greatly advanced and become a reality in many areas of our daily lives. In the health care field, numerous efforts are being made to implement the AI technology for practical medical tre...