AI case studies from the real-world

The Inter-American Court of Human Rights automates repetitive legal tasks using AI

The Public Prosecutor's Office of the City of Buenos Aires automates about 50% of the normal workload and produces rulings with artificial intelligence

US Justice system standardises bail permission through deploying algorithms but generates significant debate on biased outcomes

Accenture redeploys after automating tasks with RPA system

FANUC will offer advanced manufacturing capabilities by enhancing industrial robots with deep learning

Global Paper, Pulp, Plastics and Rubber manufacturer eliminates over 50% of poor quality batches and increases average yields to above 90% with the use of machine learning

Kawasaki Geological Engineering increases efficiency in subsurface cavity surveying with deep learning

Skand reduces cost of asset inspection by 80% with machine learning

NASA successfully researchers detection of anomalies in rocket propulsion using machine learning

Rolls Royce to identify operational issues in advance using machine learning analytics

AstraZeneca plans to crack down on online sale of counterfeit drugs in China using machine learning and natural language processing

DayTwo improves blood sugar management through personalised diet recommendations based on gut microbiome analysis using 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

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