AIMC Topic: Biomedical Technology
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Ambient virtual scribes: Mutuo Health's AutoScribe as a case study of artificial intelligence-based technology.
Healthcare management forum
Sep 15, 2019
Studies show that clinicians are increasingly burning out in large part from the clerical burden associated with using Electronic Medical Record (EMR) systems. At the same time, recently developed health data analytic algorithms struggle with poor qu...
Artificial intelligence in healthcare: A Canadian context.
Healthcare management forum
Sep 10, 2019
Artificial Intelligence (AI) is poised to revolutionize the way in which medicine is practiced and thereby transform how healthcare is delivered. While in its nascence in terms of medical applications, it is imperative that the healthcare community p...
FusionAtt: Deep Fusional Attention Networks for Multi-Channel Biomedical Signals.
Sensors (Basel, Switzerland)
May 28, 2019
Recently, pervasive sensing technologies have been widely applied to comprehensive patient monitoring in order to improve clinical treatment. Various types of biomedical signals collected by different sensing channels provide different aspects of pat...
Knowledge development, technology and questions of nursing ethics.
Nursing ethics
Apr 28, 2019
This article explores emerging ethical questions that result from knowledge development in a complex, technological age. Nursing practice is at a critical ideological and ethical precipice where decision-making is enhanced and burdened by new ways of...
Will artificial intelligence solve the human resource crisis in healthcare?
BMC health services research
Jul 13, 2018
Artificial intelligence (AI) has the potential to ease the human resources crisis in healthcare by facilitating diagnostics, decision-making, big data analytics and administration, among others. For this we must first tackle the technological, ethica...
Knowledge-based diagnosis and prediction using big data and deep learning in precision medicine.
Investigative and clinical urology
Feb 28, 2018
Using Technology in Global Otolaryngology.
Otolaryngologic clinics of North America
Feb 19, 2018
Technology is integral to the diverse diagnostics and interventions of Otolaryngology. Historically, major advances in this field derive from advances of associated technologies. Challenges of visualization and surgical access are increasingly overco...
Technification versus humanisation. Artificial intelligence for medical diagnosis.
Archivos de la Sociedad Espanola de Oftalmologia
Dec 24, 2017
The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity.
Science and engineering ethics
Sep 21, 2017
Recently, there has been an upsurge of attention focused on bias and its impact on specialized artificial intelligence (AI) applications. Allegations of racism and sexism have permeated the conversation as stories surface about search engines deliver...
Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data.
Interdisciplinary sciences, computational life sciences
Nov 11, 2016
Disease diagnosis is one of the major data mining questions by the clinicians. The current diagnosis models usually have a strong assumption that one patient has only one disease, i.e. a single-label data mining problem. But the patients, especially ...
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