AI case studies from the real-world

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

Babylon Health claims 82% accuracy for video medical diagnosis based on machine learning and natural language processing

Biogen to design individualized treatment plans for newly diagnosed patients with providers using machine learning

Cleo offers personalised support system for expecting parents which maps user preferences and helps them find matching providers and other services using machine learning

Hoobox Robotics enables wheelchair users to control the motorized machines through their facial expressions

IDX launched the first FDA approved artificial intelligence service that can diagnose the eye disease diabetic retinopathy without a clinician's involvement

Kaia Health alleviates back pain with an AI-powered motion tracking and correction technology app

Niramai develops screening tool that improves breast cancer diagnosis using machine learning

Researchers at Cornell University are using deep learning to develop dental restorations with better accuracy than human eye

Össur’s artificial limbs adjust according to user gait to provide greater comfort using machine learning

Aidyia fully automates hedge fund trading using genetic evolutionary and other algorithms claiming a 2% return

Stanford University scientists identify 50% more solar installations than any previous survey with the use of deep learning