Using artificial intelligence in a primary care setting to identify patients at risk for cancer: a risk prediction model based on routine laboratory tests.

Patricia Diana SoerensenHenry ChristensenSoeren Gray Worsoe LaursenChristian HardahlIvan BrandslundJonna Skov Madsen

Published in: Clinical chemistry and laboratory medicine (2021)

The AI risk score may be a valuable tool in the clinical decision-making. The score should be further validated to determine its applicability in other populations.

Keyphrases

artificial intelligence
primary care
machine learning
big data
decision making
deep learning
end stage renal disease
ejection fraction
newly diagnosed
papillary thyroid
prognostic factors
squamous cell carcinoma
patient reported outcomes
clinical practice
squamous cell
young adults
lymph node metastasis