This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

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 ...

New model harnesses machine learning and 15Five’s vast dataset spanning 6 years, 30 million responses and thousands of organizations SAN FRANCISCO--(BUSINESS WIRE)--15Five, the strategic performance ...

In an effort to advance early detection of colon cancer, Sioux Falls, S.D.-based Sanford Health has developed a predictive AI model designed to identify individuals at elevated risk for the disease.

Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...

As predictive AI gets more popular in entry-level associate hiring, law firms are exploring more ways to use the technology. Some firms are considering the technology for midlevel associate recruiting ...

To pinpoint the likely location of Sac Balam, archaeologists plugged data from historical records into a predictive model built with ArcGIS Pro. Josuhé Lozada Toledo / CINAH Chiapas In the dense ...

Despite fears of surveillance state activities reminiscent of dark sci-fi stories, police hope predictive analytics developments will help them to manage tight budgets and resources, including to ...