Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

Artificial intelligence can assist providers in a variety of patient care and intelligent health systems. Artificial intelligence techniques ranging from machine learning to deep learning are prevalent in healthcare for disease diagnosis, drug discovery, and patient risk identification. Numerous med...

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Bibliographic Details
Published in:	Journal of ambient intelligence and humanized computing Vol. 14; no. 7; pp. 8459 - 8486
Main Authors:	Kumar, Yogesh, Koul, Apeksha, Singla, Ruchi, Ijaz, Muhammad Fazal
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2023 Springer Nature B.V
Subjects:	Artificial Intelligence Cardiovascular disease Computational Intelligence Computed tomography Deep learning Diagnosis Engineering Feature extraction Heart diseases Hypertension Literature reviews Machine learning Magnetic resonance imaging Medical electronics Medical imaging Neural networks Original Research Parameter sensitivity Robotics and Automation Sensors Support vector machines Ultrasonic testing User Interfaces and Human Computer Interaction Tuberculosis Cancer disease Chronic disease Artificial intelligence Alzheimer Heart disease
ISSN:	1868-5137, 1868-5145
Online Access:	Get full text
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