5 developments in AI last week

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Here are five recent studies that investigate applications for AI in healthcare, as covered by Becker's Hospital Review:

1. AI outperforms clinicians, Pap smears in detecting cervical cancer

Researchers created a visual evaluation algorithm that uses deep learning to detect cervical precancer and cancer more accurately than human clinicians, according to a study published in the Journal of the National Cancer Institute.

2. Boston Children's researchers tap machine learning for better flu surveillance

Researchers created a surveillance model that uses machine learning to provide highly accurate estimates of local flu activity, according to a study published in Nature Communications.

3. Why this tool to predict readmission risk may have a blind spot

The "LACE index," a tool physicians and nurses often use to determine hospital patients' readmission risk, may have a blind spot, according to new research from Morgantown-based West Virginia University.

4. AI tool can measure physicians' diagnostic performance, study finds

Researchers have developed a way to quantitatively measure physicians' clinical reasoning abilities using artificial intelligence and machine learning, according to a study published in JAMA Network. 

5. How machine learning can reduce tests, improve treatments for ICU patients

Researchers from Princeton (N.J.) University are using machine learning to design a system that could reduce the frequency of tests and improve the timing of critical treatments for intensive care unit patients.

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