shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...

Kunal is a thought leader in Digital Journal’s Insight Forum (become a member). The intersection of Artificial Intelligence (AI) and analytics-based decision support systems has the potential to ...

Recent advances in photonic technology are redefining decision-making processes by integrating quantum dots with bandit problem algorithms. Quantum dots – nanoscale semiconductor particles – ...

We invite you to join us for author presentations and discussions on a recent publication underscoring the clinical and economic impact of AI on stroke systems of care. This podcast Algorithms to ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

To address out-of-hospital cardiac arrest, Osaka Metropolitan University researchers developed a new scoring method that uses only data available from prehospital resuscitations to accurately predict ...

Regulatory bodies around the world increasingly recognize that they need to regulate how governments use machine learning algorithms when making high-stakes decisions. This is a welcome development, ...

Disproven conceptions of race may affect clinical decision-making and treatment in several ways and have implications on patient safety and outcomes, according to a Dec. 9 Kaiser Family Foundation ...

Please provide your email address to receive an email when new articles are posted on . The study analyzed 334 cases of point-of-care EEGs in the SAFER-EEG clinical trial. Overall, 79% of those with a ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In today’s commerce landscape, AI is everywhere—but tangible business impact is not. The ...