AIMC Topic: Delivery of Health Care

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How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare.

Artificial intelligence in medicine
BACKGROUND: Medical use cases for machine learning (ML) are growing exponentially. The first hospitals are already using ML systems as decision support systems in their daily routine. At the same time, most ML systems are still opaque and it is not c...

Artificial Intelligence Bias in Health Care: Web-Based Survey.

Journal of medical Internet research
BACKGROUND: Resources are increasingly spent on artificial intelligence (AI) solutions for medical applications aiming to improve diagnosis, treatment, and prevention of diseases. While the need for transparency and reduction of bias in data and algo...

The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare.

Expert review of cardiovascular therapy
INTRODUCTION: Guidelines advise ongoing follow-up of patients after hypertensive disorders of pregnancy (HDP) to assess cardiovascular risk and manage future patient-specific pregnancy conditions. However, there are limited tools available to monitor...

Smart Chemical Sensor and Biosensor Networks for Healthcare 4.0.

Sensors (Basel, Switzerland)
Driven by technological advances from Industry 4.0, Healthcare 4.0 synthesizes medical sensors, artificial intelligence (AI), big data, the Internet of things (IoT), machine learning, and augmented reality (AR) to transform the healthcare sector. Hea...

Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review.

Journal of medical Internet research
BACKGROUND: Communication is a crucial element of every health care profession, rendering communication skills training in all health care professions as being of great importance. Technological advances such as artificial intelligence (AI) and parti...

[Digitalization in rehabilitation].

Orthopadie (Heidelberg, Germany)
BACKGROUND: The term digitalization is in trend. In addition to modernizing existing structures and converting analogue to digital processes, there are now a large number of digital applications available in the medical field. This is also increasing...

Bioinspired Environment-Adaptable and Ultrasensitive Multifunctional Electronic Skin for Human Healthcare and Robotic Sensations.

Small (Weinheim an der Bergstrasse, Germany)
Multifunctional electronic skins (e-skins) that can sense various stimuli have demonstrated increasing potential in many fields. However, most e-skins are human-oriented that cannot work in hash environments such as high temperature, underwater, and ...

Optimized feature fusion-based modified cascaded kernel extreme learning machine for heart disease prediction in E-healthcare.

Computer methods in biomechanics and biomedical engineering
In recent years, medical technological innovators have focused on diverse clinical therapies to find innovative ways to overcome clinical challenges. But still, there emerge certain drawbacks like high computational cost, increased error, less traini...

A Methodology for a Scalable, Collaborative, and Resource-Efficient Platform, MERLIN, to Facilitate Healthcare AI Research.

IEEE journal of biomedical and health informatics
Healthcare artificial intelligence (AI) holds the potential to increase patient safety, augment efficiency and improve patient outcomes, yet research is often limited by data access, cohort curation, and tools for analysis. Collection and translation...

Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine.

Computers in biology and medicine
Mounting evidence has highlighted the implementation of big data handling and management in the healthcare industry to improve the clinical services. Various private and public companies have generated, stored, and analyzed different types of big hea...