A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Patients’ financial resources affect their enrollment in oncology clinical trials to a greater degree than traditional ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
There is a disconnect between the promise logistics leaders see in Agentic AI and their readiness to deploy it at scale as they start 2026, according to a new survey from ORTEC. While nearly all ...
Interesting Engineering on MSN
US researchers build fall-safe biped robots to advance real-world reinforcement learning
Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback