King's College London researchers automate real-time triage of X-ray radiograph reports with high accuracy

MIT researchers propose an efficient and accurate system for protecting privacy in healthcare datasets

Minneapolis VA Health Care System is researching how to predict the onset of neurological disorders analysing computer usage and car driving patterns with machine learning classifiers

PLA General Hospital in Beijing is using an algorithm for predicting if patients will wake up from a coma

Qure.ai can detect critical head trauma or stroke symptoms from CT scans with more than 95% accuracy using deep neural networks and natural language processing

Researchers at Harvard University predict tuberculosis' resistance to first-line and second-line drugs with 94% accuracy and 90% accuracy using machine learning

Researchers at Osaka University differentiate between different types of cancer cells using a convolutional neural network

Researchers at UCLA develop a convolutional neural networks system that detects prostate cancer as well as experienced radiologists in detecting prostate cancer

Researchers at the University of Washington analyse sonograms of Rodents' audio signals with the use of AI

Researchers develop non-invasive visual biomarkers of ageing using deep neural networks

Rhön-Klinikum AG attempted to accelerate diagnosis of rare diseases using cognitive computing but has since moved on to different projects

Scientists at Institute Gustave Roussy predict immunotherapy efficacy in patients with machine learning

Scientists automate detection of polyps during colonoscopy using deep learning

Stanford University researchers plan to improve palliative care by predicting mortality of patient with deep learning

The CMS Measure Development reduced research time from months to moments through machine learning and natural language processing

The University of Alberta and IBM can predict schizophrenia with 74% accuracy by looking at images of the brain's blood flow

Translational Genomics Research Institute significantly improves paediatric cancer last resort treatments by offering individualised therapies using machine learning to analyse genome

UK Medical Research Council scientists identified clusters of learning difficulties not matching childrens' previous diagnosis with machine learning

Unanimous AI achieves 22% more accurate pneumonia diagnoses with the use of "swarm intelligence"

University of Toronto aims to early detect individuals at risk for clinical decline with the use of machine learning

Dialogue to optimise emergency rooms triage at Centre hospitalier de l'Université de Montréal (CHUM) using AI

Gold Coast Health saves $3m per annum in operational costs by forecasting patient arrival rates at emergency care using machine learning

Guangzhou Second Provincial Central Hospital provides initial consultations with conversational robots that can diagnose 200 diseases with 90% accuracy

IBM Health's Watson for Oncology is criticised for providing inaccurate and potentially dangerous treatment recommendations for cancer patients

London Hospital for Tropical Diseases is testing an AI powered microscope which detects the presence of malaria parasites in blood with the same accuracy as microscopists

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