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Researchers use machine learning to identify high-risk surgery patients

Researchers use machine learning to identify high-risk surgery patients
medicalxpress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from medicalxpress.com Daily Mail and Mail on Sunday newspapers.

Oscar Marroquin , Naman Mahajan , University Of Pittsburgh , Surgical Services , Pitt School Of Medicine , Perioperative Medicine , Pitt School , Perioperative Care , American College , National Surgical Quality Improvement Program , Machine Learning Model , Identify Patients Before Surgery , High Risk , Postoperative Adverse Events ,

A Hidden Toll: Obesity Associated With Increased Risk of Complications After Surgery

A Hidden Toll: Obesity Associated With Increased Risk of Complications After Surgery
scitechdaily.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from scitechdaily.com Daily Mail and Mail on Sunday newspapers.

United States , Michaelr Bronsert , Anne Lambert Kerzner , Rileya Gillette , Adamr Dyas , Helenj Madsen , Williamg Henderson , Roberta Meguid , Kathrynl Colborn , Robert Meguid , University Of Colorado Department Surgery , National Surgical Quality Improvement Program , Doctors Surgery , Colorado Department , American College , Surgeons National Surgical Quality Improvement ,

UPMC pinpoints high-risk surgical patients with AI

UPMC has created a machine-learning platform that can accurately predict post-surgery complication risks for patients. The AI model is more accurate than existing programs, the researchers say. ....

Oscar Marroquin , American College , National Surgical Quality Improvement Program , Machine Learning , Heart Attack ,