As the use of artificial intelligence has spread rapidly throughout the US health care system, concerns have been raised about racial and ethnic biases built into the algorithms that often guide ...

A research team led by David C. Ayers, MD, has identified important factors in total knee replacement that predict outcomes five years after surgery. By understanding these factors, surgeons can ...

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 ...

A new study from Boston Medical Center aims to standardize the pre-procedure process for urgent cesarean deliveries in order to decrease decision to skin incision times. Published in Obstetrics & ...

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 ...

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 ...

Sphincter-Sparing Local Excision and Adjuvant Radiation for Anal-Rectal Melanoma PURPOSE: To create a comprehensive algorithm that can predict postoperative renal cell carcinoma (RCC) patient outcomes ...

(Nasdaq: CBLL) (“Ceribell”), a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions, today announced that a new research ...

A Stanford-led study of 4 million job applications reveals AI tools used by Fortune 100 companies systematically reject Black and Asian applicants.