Minimally Invasive Therapy & Allied Technologies· 2019Q2
Introduction to artificial intelligence in medicine
- 772citations
- Q2SCImago
- 2019year
Short summary
Artificial Intelligence (AI) is increasingly integrated into medicine, using machine learning to analyze radiological images, pathology slides, and electronic medical records (EMR) to aid diagnosis and treatment, thereby improving patient care and physician capabilities.
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Key points
- AI, originating in the 1950s, has advanced significantly with computational power.
- Machine learning is a key AI technique being applied in medicine.
- AI analyzes medical data including radiological images, pathology slides, and EMRs.
- Applications aim to speed up processes, increase accuracy, and improve patient care.
AI-generated from the title and abstract; the full text is not read.
Abstract
The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a conference held on this subject. However, the possibility of machines being able to simulate human behavior and actually think was raised earlier by Alan Turing who developed the Turing test in order to differentiate humans from machines. Since then, computational power has grown to the point of instant calculations and the ability evaluate new data, according to previously assessed data, in real time. Today, AI is integrated into our daily lives in many forms, such as personal assistants (Siri, Alexa, Google assistant etc.), automated mass transportation, aviation and computer gaming. More recently, AI has also begun to be incorporated into medicine to improve patient care by speeding up processes and achieving greater accuracy, opening the path to providing better healthcare overall. Radiological images, pathology slides, and patients' electronic medical records (EMR) are being evaluated by machine learning, aiding in the process of diagnosis and treatment of patients and augmenting physicians' capabilities. Herein we describe the current status of AI in medicine, the way it is used in the different disciplines and future trends.
The authors' abstract, as published at the source. Minimally Invasive Therapy & Allied Technologies, 2019 · DOI ↗
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Field: Health Informatics
Health InformaticsMedicine