Before 2017, Zuckerberg San Francisco General Hospital – an urban, academic safety-net hospital within the San Francisco Health Network – struggled with some of the highest 30-day readmission rates in ...
Predictive analytics and generative artificial intelligence combined give clinicians the insights and actionable guidance ...
A new predictive model developed at Washington State University could help scientists more efficiently identify the ...
This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...
Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of ...
If internet chatter is to be believed, the intuitiveness and efficiency of predictive text and autocorrect have fallen off a ...
We analyzed a prospective multi-institutional cohort of 278 patients treated from 2012 to 2023 across 10 centers. Dosimetric and nondosimetric variables were collected, and key predictors were ...
A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...
Amazon Web Services's AI Shanghai Lablet division has created a new predictive model -- an open-source benchmarking tool called 4DBInfer used to graph predictive modeling on RDBs, a relational ...
TD AI Prism analyzes more data signals than traditional models, improving prediction accuracy and personalizing offers.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results