A retrospective study of 186 traumatic brain injury patients found that a model using four admission variables predicted ...
A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.
A retrospective case-control study from a single Chinese hospital built an internally validated machine learning model using ...
India Today on MSN
At 12, he built an AI tool to forecast earthquake aftershocks and won a national award
Bowen Wang built Aftershock Oracle after earthquakes near the San Andreas Fault disturbed his sleep. The award-winning ...
PsyPost on MSN
Social media use ranks among the top predictors of depression in a study of 183,000 adults
An analysis of more than 183,000 American adults surveyed over an 11-year span indicates that higher daily social media use ...
Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...
Using admission data, a machine learning model detected patients with acute coronary syndrome at high-risk for cardiogenic ...
2don MSN
A San Carlos 7th grader built an AI aftershock tool, winning a $3,500 national technology award
Bowen Wang, a 12-year-old student from California, has won a national technology prize for his innovative work. He created an ...
I took a course called GCI (Global Consumer Intelligence) from April 21 to August 4, 2026, so I will write about what I ...
A quantum algorithm achieved up to 10. 4% higher accuracy than standard machine learning models across three medical datasets ...
Times Voter Trends reports are based on individual-level estimates of the likelihood that voters would have supported the Democrat, Republican or a minor-party candidate.
A Texas study of 2,394 child bicycle crashes reveals why an AI model with nearly 80% accuracy failed to identify any fatal or ...
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