Machine learning and iot applied to cardiovascular diseases identification through heart sounds: A literature review
This article presents a systematic map** study dedicated to conduct a literature review on
machine learning and IoT applied in the identification of diseases through heart sounds …
machine learning and IoT applied in the identification of diseases through heart sounds …
In the land of the blind, the one-eyed man is king: Knowledge brokerage in the age of learning algorithms
This paper presents research on how knowledge brokers attempt to translate opaque
algorithmic predictions. The research is based on a 31-month ethnographic study of the …
algorithmic predictions. The research is based on a 31-month ethnographic study of the …
[HTML][HTML] UK reporting radiographers' perceptions of AI in radiographic image interpretation–Current perspectives and future developments
Introduction Radiographer reporting is accepted practice in the UK. With a national shortage
of radiographers and radiologists, artificial intelligence (AI) support in reporting may help …
of radiographers and radiologists, artificial intelligence (AI) support in reporting may help …
From coexistence to co-creation: Blurring boundaries in the age of AI
While the self-learning nature of AI systems that use machine learning calls for sustained co-
creation between developers and users during development, implementation and use …
creation between developers and users during development, implementation and use …
[HTML][HTML] Les innovations d'intelligence artificielle en radiologie à l'épreuve des régulations du système de santé
La radiologie est l'un des premiers secteurs médicaux à être concerné concrètement par
l'arrivée de dispositifs labellisés «intelligence artificielle» pour le traitement des images …
l'arrivée de dispositifs labellisés «intelligence artificielle» pour le traitement des images …
[HTML][HTML] Artificial intelligence and multidisciplinary team meetings; a communication challenge for radiologists' sense of agency and position as spider in a web?
A Galsgaard, T Doorschodt, AL Holten… - European Journal of …, 2022 - Elsevier
Purpose This paper focuses on how the implementation of artificial intelligence algorithms
(AI) challenges and changes the existing communication practice in radiology seen from a …
(AI) challenges and changes the existing communication practice in radiology seen from a …
The unintended consequences of artificial intelligence in paediatric radiology
Over the past decade, there has been a dramatic rise in the interest relating to the
application of artificial intelligence (AI) in radiology. Originally only 'narrow'AI tasks were …
application of artificial intelligence (AI) in radiology. Originally only 'narrow'AI tasks were …
A holistic approach to implementing artificial intelligence in radiology
Objective Despite the widespread recognition of the importance of artificial intelligence (AI)
in healthcare, its implementation is often limited. This article aims to address this …
in healthcare, its implementation is often limited. This article aims to address this …
Digital Pathology Ecosystem: Basic Elements to Revolutionize the Diagnosis and Monitoring of Diseases in Health Sector
M Coccia - … : Exploring Alertness, Orientation, and Innovation in the …, 2024 - Springer
Digital pathology is an image-based environment for the acquisition, management, sharing,
and interpretation of pathology information supported by techniques for data extraction and …
and interpretation of pathology information supported by techniques for data extraction and …
[LIVRE][B] Managing AI wisely: From development to organizational change in practice
Artificial Intelligence (AI) is being rapidly introduced into the workplace, creating debate
around what AI means for our work and organizations. This book gives grounded …
around what AI means for our work and organizations. This book gives grounded …