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.