Artificial Intelligence
Artificial Intelligence Could Challenge Role of Doctors
Artificial intelligence (AI) systems, which simulate human intelligence by learning, reasoning, and self-correction, have the potential to be more accurate than doctors at making diagnoses and performing surgical interventions, according to a new study. More...22 Nov 2018
Study Finds AI Falls Short When Analyzing Medical Data
A study conducted at the Icahn School of Medicine at Mount Sinai has found that artificial intelligence (AI) tools trained to detect pneumonia on chest X-rays suffered significant decreases in performance when tested on data from outside health systems. These findings suggest that unless AI in the medical space is carefully tested for performance across a wide range of populations, the deep learning models may not perform as accurately as expected. More...20 Nov 2018
ACR Data Science Institute Releases AI Use Cases to Accelerate AI Adoption
The American College of Radiology Data Science Institute has released a first-of-its-kind series of standardized artificial intelligence (AI) use cases that will accelerate medical imaging AI adoption. This continually updated, freely available use case series is the product of a previously missing and collaborative framework that enables efficient creation, implementation and ongoing improvement of radiological AI tools. More...12 Nov 2018
Philips Launches Start-Up AI Collaboration Program
Royal Philips has launched its first global start-up collaboration program involving the company’s innovation hubs in Cambridge, US, Eindhoven, the Netherlands, Bangalore, India and Shanghai, China focused on the application of artificial intelligence (AI) in healthcare. The program focuses on the application of AI-based clinical decision support tools, such as image interpretation, analysis and integration, and workflow tools, such as intelligent treatment plans for radiology, ultrasound and oncology. More...30 Oct 2018
AI Could Help Radiologists Improve Osteoarthritis X-ray Diagnosis
Researchers from the Center for Digital Health Innovation at the University of California have developed a fully automated algorithm for the detection of osteoarthritis with radiographs using the 0–4 Kellgren Lawrence (KL) grading system with a state-of-the-art neural network. More...25 Oct 2018
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The Artificial Intelligence channel of HospiMedica keeps the reader informed about the latest news in AI-based clinical decision making, Medical knowledge engineering, Intelligent medical information systems and additional related fields.