Researchers at the George Institute for Global Health improve emergency room admittance predictive models using machine learning

Researchers propose a new method for automating the contouring of high-risk clinical target volumes using neural networks

St. Vincent's Hospital achieves 20% in energy savings by implementing a predictive energy control system for its HVAC from BuildingIQ

Stanford University Medical uses machine learning to improve palliative care by predicting end-of-life within the next year with 90% accuracy

Szechwan People’s Hospital uses machine learning to detect early signs of lung cancer in CT scans broadening access to quality diagnosis given the scarcity of radiologists in China

The European Emergency Number Association (EENA) to pilot heart attack detection service with the use of neural networks

UCLH plans to use machine learning to triage patients in A&E and better predict demand for the service

University of California Los Angeles researchers maintain patient drug levels within target range using personally calibrated treatment

University of Southern California researchers determine an efficient combination of tests to accurately predict FASD in children

Cigna to identify at-risk patients from laboratory results and clinical diagnostic data, and offer early treatment options using machine learning

Amazon announces its Comprehend Medical platform to analyse unstructured medical texts

Beijing Tian Tan Hospital is testing the detection of type, location and severity of a stroke using machine learning

DeepMind aims to improve machine learning system to detect breast cancer from images with more diverse dataset

Japan to automate patient information entry and some medical procedures by investing in 10 AI-powered hospitals

MetroPath mitigates cyber threats using Darktrace's network monitoring and machine learning

Olive navigates old healthcare software systems using RPA and machine learning

Washington State Hospital increases net revenue by 19% using NLP to automate clinical documentation and coding

Assistance publique – Hôpitaux de Paris optimises staffing by predicting emergency room admission rates by hour and day using machine learning

NHS trials a platform to improve workplace team efficiency and capabilities using machine learning to predict best courses of action

Anglia Ruskin University researchers develop mobile system which detects tuberculosis with 98.4% accuracy

BlueDot identified Wuhan pneumonia outbreak from social media posts before WHO made public announcement on COVID-19

Universal Health Services uses voice transcription to reduce costs by 69% and improve the quality of electronic healthcare records

Utah Hospital automates treatment coding using NLP increasing coder productivity by 21% and reducing hospital acquired conditions by 63%

Banner Health saves $29m in three years by helping avoid hospitalisation for patients with multiple chronic conditions by remote monitoring of vitals and analysis with machine learning

Blue Cross Blue Shield reduced post hospitalisation costs by over 20% by driving patient engagement with digital post care programs using smart devices, sensors and machine learning

El Camino Hospital reduces number of patient falls by 39% using machine learning to predict when a patient is about to fall

Humana achieves 28-percent increase in customer satisfaction by coaching agents and supervisors in real-time by recognising emotions from customer voice

Maria Fareri Children's Hospital deploys a diagnosis platform using NLP and algorithmic search to assist physicians with difficult to diagnose symptoms

The UK NHS reduces costs by providing healthcare triage advice via a virtual assistant mobile app

Advisory committee to the National Institutes of Health to identify health needs in search query data in the US using machine learning