MD Anderson Cancer Center project developing automated cancer treatment recommendation system with IBM Watson failed to deliver and was terminated

MetroHealth predicts patient flow to improve operational decision making using machine learning

Natividad Medical Center reduces time to see doctor by 20% and left without being seen rates by 42% by optimising patient flow and resource allocation in ER

Partners HealthCare is developing a new AI tool that predicts the risk of hospital readmissions within 30 days for patients with heart conditions

Qure.ai achieves 90% accuracy using deep learning to diagnose pulmonary consolidation in chest x-rays

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

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

Graphnet detects changes indicative of a seizure in epileptic patients using wearable tracker and machine learning and notifies the patient and carer via app

Researchers from Stanford University develop a predictive model to identify knee injuries in MRI scans and avoid misdiagnosis

SocialEyes diagnoses diseases in places where doctors are scarce by scanning the human retina with deep neural networks at the edge

Stanford researchers reduce heavy metal dose in MRIs using convolutional neural networks

Viz.ai's deep learning solution which automatically detects strokes from CTA scans reducing detection time from 66 to 6 minutes has earned FDA approval

Kingsbridge Grand saves over $64,000 by reducing building energy consumption by using AI to make HVAC adjustments

LexSet is launching its platform of products using computer vision and AR for interior design to suggest new furnishings and demonstrate how they would look

TensorFlight assists with commercial property insurance evaluation using computer vision to investigate building properties

Aviva accelerates from 400 to 10 days post-merger organisational planning and employee data integration with the use of machine learning

BlackRock chooses investment opportunities to add to its portfolio based on AI recommendations

AXA UK saves 18,000 people hours in six months by deploying bots to handle repetitive tasks

Ant Financial automates vehicle damage assessment to assist automobile insurers using image recognition

Lapetus is tests a platform to assess smoking status and other health indicators using selfies for insurance purposes

Ping An Insurance improves client authentication efficiency by using face and voice recognition

BankMobile approves loans for young banking customers based on non-traditional data measures using Upstart's machine learning

Ford Credit improves customer loan risk predictions over traditional credit risk scoring using machine learning

JD.com increases customer loan approval rate by 150% using Zest Finance's machine learning platform