AIMC Topic: Diffusion of Innovation
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[Artificial intelligence and innovation to optimize the tuberculosis diagnostic process].
Revista peruana de medicina experimental y salud publica
Dec 2, 2020
Tuberculosis remains an urgent issue on the urban health agenda, especially in low- and middle-income countries. There is a need to develop and implement innovative and effective solutions in the tuberculosis diagnostic process. In this article, We d...
Artificial intelligence: a disruptive tool for a smarter medicine.
European review for medical and pharmacological sciences
Jul 1, 2020
OBJECTIVE: Although highly successful, the medical R&D model is failing at improving people's health due to a series of flaws and defects inherent to the model itself. A new collective intelligence, incorporating human and artificial intelligence (AI...
Commercial Adoption of AI in the Healthcare Sector: An Exploratory Analysis of S&P500 Companies.
Studies in health technology and informatics
Jun 16, 2020
The use of Artificial Intelligence (AI) technologies within the healthcare sector is growing. However, there are differences in the speed of commercial adoption of AI across sub-sectors. We employ a dataset including news mentions and executive commu...
Artificial Intelligence and the Radiographer/Radiological Technologist Profession: A joint statement of the International Society of Radiographers and Radiological Technologists and the European Federation of Radiographer Societies.
Radiography (London, England : 1995)
May 1, 2020
Explainable Artificial Intelligence for Safe Intraoperative Decision Support.
JAMA surgery
Nov 1, 2019
[Artificial intelligence in healthcare: major potential for innovations in our health system].
Soins; la revue de reference infirmiere
Sep 1, 2019
Artificial intelligence (AI) is rapidly being extended across health systems with multiple cases of its use already reported. The most operational technique is machine learning with image recognition in imaging. Solutions derived from this approach, ...
Impact of Artificial Intelligence on Interventional Cardiology: From Decision-Making Aid to Advanced Interventional Procedure Assistance.
JACC. Cardiovascular interventions
Jul 22, 2019
Access to big data analyzed by supercomputers using advanced mathematical algorithms (i.e., deep machine learning) has allowed for enhancement of cognitive output (i.e., visual imaging interpretation) to previously unseen levels and promises to funda...
Predictive Value of Tests
Robotics
Supervised Machine Learning
Patient Selection
Workflow
Humans
Diagnosis, Computer-Assisted
Machine Learning
Deep Learning
Cardiac Catheterization
Unsupervised Machine Learning
Decision Support Techniques
Diffusion of Innovation
Clinical Decision-Making
Therapy, Computer-Assisted
Cardiovascular Diseases
Artificial Intelligence in Health Care: Will the Value Match the Hype?
JAMA
Jun 18, 2019
[Novel Innovation: Can Artificial Intelligence make Rehabilitation more Efficient?].
Laeknabladid
Jun 1, 2019
Demand for Vocational Rehabilitation in Iceland has been steadily rising in recent years where the presence of young patients has increased proportionally the most. It is essential that public spending is efficient without compromising the treatment ...
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