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Showing 4 of 24 academic articles

Quantifying the incremental value of deep learning: Application to lung nodule detection.

Theodore Warsavage, Fuyong Xing, Anna E Barón, William J Feser et al. • PLoS ONE (2020)

We present a case study for implementing a machine learning algorithm with an incremental value framework in the domain of lung cancer research. Machine learning methods have often been shown to be competitive with prediction models in some...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0231468

Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study design

Kohji Nishida, Ryo Kawasaki, Yiming Qian, Liangzhi Li et al. • BMJ Open (2024)

Objective Despite extensive exploration of potential biomarkers of cardiovascular diseases (CVDs) derived from retinal images, it remains unclear how retinal images contribute to CVD risk profiling and how the results can inform lifestyle m...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2023-078609

Artificial Intelligence in Anesthesiology

Daniel A. Hashimoto, Elan R. Witkowski, Lei Gao, Ozanan R. Meireles et al. • Anesthesiology (2019)

Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of artificial int...

OPENALEX Open Access DOI: https://doi.org/10.1097/aln.0000000000002960 PMC: 7643051