AI in Medical: The Current Landscape and Future Possibilities
DOI:
https://doi.org/10.32350/icr.52.01Keywords:
Artificial Intelligence. Medical. Big Data. Deep Learning. Machine Learning. Medical Analysis. Medical Sciences. Health-care. HumansAbstract
Today’s medical systems are becoming increasingly sophisticated, dynamic, and interconnected but they are also introducing new problems in terms of user rights and privacy. Medical practices face unpredictable and random patterns due to the countless existence of uncertainties and interdependencies. Recent developments in artificial intelligence (AI), especially Machine Learning (ML) and Deep Learning (DL) have shown the potential to revolutionize healthcare by providing advanced analytics tools for handling massive amounts of medical data including electronic health records, medical imaging and many types of sensor data. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smart phones, and other mobile monitoring sensors in different areas of medicine. The aim of this paper is: (1) To Discuss evolution of medical sciences through the use of AI (2) To discuss recent scientific literature and provide an overview on benefits, future opportunities of established artificial intelligence applications in clinical practice on physicians, healthcare institutions, medical education, and bioethics.
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