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Artificial intelligence in medicine: Current applications in cardiology, oncology, and radiology
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In this article, artificial intelligence (AI) usage and its benefits in medicine are reviewed in the oncology, radiology, and cardiology fields. The relevant literature was searched in PubMed and Google Scholar using the words “Artificial Intelligence”, “Artificial Intelligence in Medicine”, “Artificial Intelligence in Cardiology”, “Artificial Intelligence in Oncology”, and “Artificial Intelligence in Radiology” for the last 10 years. This article covers the AI’s current implications in daily practice, discussing its advantages and disadvantages based on the findings. AI’s effect in medicine for reducing workload, diagnosis, time management, and drug dosing is going to be reviewed especially in radiology, oncology, and cardiology fields as well as general usage of AI in addition to important highlights. Lastly, this minireview evaluates the current challenges of AI technology in medicine and how clinicians should work with this emerging technology.
Title: Artificial intelligence in medicine: Current applications in cardiology, oncology, and radiology
Description:
In this article, artificial intelligence (AI) usage and its benefits in medicine are reviewed in the oncology, radiology, and cardiology fields.
The relevant literature was searched in PubMed and Google Scholar using the words “Artificial Intelligence”, “Artificial Intelligence in Medicine”, “Artificial Intelligence in Cardiology”, “Artificial Intelligence in Oncology”, and “Artificial Intelligence in Radiology” for the last 10 years.
This article covers the AI’s current implications in daily practice, discussing its advantages and disadvantages based on the findings.
AI’s effect in medicine for reducing workload, diagnosis, time management, and drug dosing is going to be reviewed especially in radiology, oncology, and cardiology fields as well as general usage of AI in addition to important highlights.
Lastly, this minireview evaluates the current challenges of AI technology in medicine and how clinicians should work with this emerging technology.
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