AIMC Topic: Machine Learning

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Identifying Ethical Considerations for Machine Learning Healthcare Applications.

The American journal of bioethics : AJOB
Along with potential benefits to healthcare delivery, machine learning healthcare applications (ML-HCAs) raise a number of ethical concerns. Ethical evaluations of ML-HCAs will need to structure the overall problem of evaluating these technologies, e...

[Artificial intelligence and machine learning in oncologic imaging].

Der Pathologe
Machine learning (ML) is entering many areas of society, including medicine. This transformation has the potential to drastically change medicine and medical practice. These aspects become particularly clear when considering the different stages of o...

Overview of Machine Learning Part 1: Fundamentals and Classic Approaches.

Neuroimaging clinics of North America
The extensive body of research and advances in machine learning (ML) and the availability of a large volume of patient data make ML a powerful tool for producing models with the potential for widespread deployment in clinical settings. This article p...

Machine Learning Applications for Head and Neck Imaging.

Neuroimaging clinics of North America
The head and neck (HN) consists of a large number of vital anatomic structures within a compact area. Imaging plays a central role in the diagnosis and management of major disorders affecting the HN. This article reviews the recent applications of ma...