AIMC Topic: Delivery of Health Care

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[The Concept of a Healthcare AI Platform].

Gan to kagaku ryoho. Cancer & chemotherapy
To reduce the burden on medical professionals and achieve advanced medical care in the rapidly evolving and specializing medical field, the widespread adoption and development of healthcare AI is essential. However, there are common industry issues s...

Artificial Intelligence and Health Care: What's to Worry?

Telemedicine journal and e-health : the official journal of the American Telemedicine Association

Healthcare Leaders' Perceptions of the Usefulness of AI Applications in Clinical Work: A Qualitative Study.

Studies in health technology and informatics
Artificial intelligence (AI) is often presented as a technology that changes healthcare and is useful in clinical work in disease prediction, diagnosis, treatment effectiveness, and precision health. This study aimed to explore healthcare leaders' pe...

Ethical Perspectives on Implementing AI to Predict Mortality Risk in Emergency Department Patients: A Qualitative Study.

Studies in health technology and informatics
Artificial intelligence (AI) is predicted to improve health care, increase efficiency and save time and recourses, especially in the context of emergency care where many critical decisions are made. Research shows the urgent need to develop principle...

First Contact, First Learnings - Nursing Staff Approaching Robotics in Health Care.

Studies in health technology and informatics
Systems for service and assistance robotics become relevant in nursing care. Workshops with target user groups can support the reflection and identification of scenarios for the use of robotic systems.

The Inverse Data Law: Market Imperatives, Data, and Quality in AI Supported Care.

Studies in health technology and informatics
Over the last decade, the explosion of "Big Data" and its fusion with AI has led many to believe that the development and integration of AI systems in healthcare will usher in a transformative revolution that democratises access to high quality healt...

Enabling Clinical Trials of Artificial Intelligence: Infrastructure for Heart Failure Predictions.

Studies in health technology and informatics
The last decade has seen a large increase in artificial intelligence research within healthcare. However, relatively few attempts of clinical trials have been made for such configurations. One of the main challenges arise in the extensive infrastruct...

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1.

Studies in health technology and informatics
BACKGROUND: Artificial Intelligence (AI) has had an important impact on many industries as well as the field of medical diagnostics. In healthcare, AI techniques such as case-based reasoning and data driven machine learning (ML) algorithms have been ...