Tooth loss is often accepted as a natural part of aging, but what if there was a way to better identify those most susceptible without the need for a dental exam? New research led by investigators at ...
New research suggests that machine learning tools can help identify those at greatest risk for tooth loss and refer them for further dental assessment in an effort to ensure early interventions to ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...
Danielle Logan-Fleming is a Learning & Teaching Consultant in the Griffith Business School, Griffith University. She is a member of the Australasian Society for Computers in Learning in Tertiary ...
Tooth loss is often accepted as a natural part of aging, but what if there was a way to better identify those most susceptible without the need for a dental exam? New research led by investigators at ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback