AIMC Topic: Artificial Intelligence

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[Big data and deep learning in preventive and rehabilitation medicine].

Der Orthopade
The digitalization in medicine has led to almost universal availability of information to different healthcare professionals and accelerated clinical pathways. Fast-track concepts and short hospital stays require intelligent and practicable systems i...

[Applications of machine learning in clinical decision support in the omic era].

Yi chuan = Hereditas
With the development of the omic technologies, the acquisition approaches of various biological data on different levels and types are becoming more mature. As a large amount of data will be produced in the process of diagnosis and treatment of disea...

[The development of ophthalmology in artificial intelligence era].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
Ophthalmology is a discipline that is highly dependent on the development of technology. Artificial intelligence is a new technological revolution, which will in all-round and fundamentally influence the progression of modern ophthalmology. Ophthalmo...

[Bigdata, artificial intelligence and blockchain for dummies].

Revue medicale suisse
Digitalization is transforming every aspect of life, it is also transforming deeply medicine. The digitalization era is characterized by a large production of new data streams while existing processes are progressively migrated, such as writing or im...

Eight Kinds of Critters: A Moral Taxonomy for the Twenty-Second Century.

The Journal of medicine and philosophy
Over the coming century, the accelerating advance of bioenhancement technologies, robotics, and artificial intelligence (AI) may significantly broaden the qualitative range of sentient and intelligent beings. This article proposes a taxonomy of such ...

How Bioethics Can Shape Artificial Intelligence and Machine Learning.

The Hastings Center report
Artificial intelligence and machine learning have the potential to revolutionize the delivery of health care. But designing machine learning-based decision support systems is not a merely technical challenge. It also requires attention to bioethical ...