Predictive analytics

The study found a machine learning model detected traumatic intracranial hemorrhage with a sensitivity of 74% and a specificity of 75% using information collected before patients were transported to the hospital.

According to a study published in JAMA Network Open, a combination of in-person screenings and machine learning worked better than either method alone when it came to predicting suicide attempts and suicidal ideation in adults.

A clinical trial has shown that it can predict AD progression with 88% and 84% accuracy in American and Japanese patients, respectively.

It plans to put up more family clinics and set up a training academy for doctors and nurses.

Also, SeekIn is set to release an AI-based all-cancer screening test in Europe.

They have used data from wearable devices to measure a person's risk of depression.

SonderMind said the purchase will help providers deliver personalized mental healthcare.

Kristin Molina, business leader for patient engagement and healthcare analytics at Philips, talks about how predictive analytics and AI can help providers manage patient flow, especially as some hospitals struggle with large COVID-19 caseloads.

The device uses predictive AI to alert staff about patient's deteriorating conditions. 

The device predicts cardiac arrests using four primary vital signs.