AI prediction loops exploit uncertainty, deepen dopamine dependence, and reshape anticipation, decisions, and control ...
Mathematicians may have a better way to measure agreement across different datasets. Agreement affects reproducibility, meta-analysis, and prediction to fill in missing data points. We need a more ...
Existing loss of well control event indicators fall short of predicting events in an accurate and timely manner due to a lack ...
A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...
• A new AI machine learning algorithm capable of predicting planetary orbits that may one day help accelerate physics research in other areas such as renewable energy. • Strikingly, the algorithms ...
Accounting for racial disparities, including in the quality of family history data, enhanced the predictive performance of a colorectal cancer (CRC) risk prediction model. The medical community is ...
Colorectal cancer mortality dynamics: Uncovering critical disparities in U.S. population health (2018–2023). This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...