Curr. Diab. Rep.
Policy Implications of Artificial Intelligence and Machine Learning in Diabetes Management.
Broome DT, Hilton CB, Mehta N
Machine learning (ML) is increasingly being studied for the screening, diagnosis, and management of diabetes and its complications. Although various m ...
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Source: PubMed
Breast
Using artificial intelligence to analyse and teach communication in healthcare.
Butow P, Hoque E
Communication is a core component of effective healthcare that impacts many patient and doctor outcomes, yet is complex and challenging to both analys ...
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Source: PubMed
Gait Posture
Adaptive predictive systems applied to gait analysis: A systematic review.
Caldas R, Fadel T, Buarque F, Markert B
Due to the high susceptivity of the walking pattern to be affected by several disorders, accurate analysis methods are necessary. Given the complexity ...
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Source: PubMed
HRB Open Res
Improving palliative and end-of-life care with machine learning and routine data: a rapid review.
Storick V, O'Herlihy A, Abdelhafeez S, Ahmed R, May P
Introduction: Improving end-of-life (EOL) care is a priority worldwide as this population experiences poor outcomes and accounts disproportionately fo ...
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Source: PubMed
J. Orthop. Res. 2020 Jan 30
Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network.
Borjali A, Chen AF, Muratoglu OK, Morid MA, Varadarajan KM
Identifying the design of a failed implant is a key step in preoperative planning of revision total joint arthroplasty. Manual identification of the i ...
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Source: PubMed