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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of ambient intelligence and humanized computing Ročník 14; číslo 7; s. 8459 - 8486
Hlavní autoři:	Kumar, Yogesh, Koul, Apeksha, Singla, Ruchi, Ijaz, Muhammad Fazal
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2023 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!