Analysis
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
An essential systematic review of all papers published from Jan-Oct 2020
An essential systematic review of all papers published from Jan-Oct 2020
AI technology creates breakthrough in detecting COVID-19 in exhaled breath via the NaNose artificial nose
London’s Royal Free Hospital was shortlisted for AIMed Best COVID-19 AI solution for its use of technology to facilitate communication in the operating theatre while wearing PPE. Here’s the inside story
USC researchers claim to have developed a new deep learning model to thwart emergent mutations of the coronavirus and hasten vaccine development
In the second part of a fascinating interview, Eric Topol reveals how AI can eliminate clinician burnout, his shock at receiving death threats and the despair of watching America’s ‘truly shameful’ response to the pandemic
Johns Hopkins became synonymous with their dashboard that tracked the global spread of the coronavirus. But few remember their pandemic simulation exercise just two months before the outbreak
At this week’s Davos Agenda; healthcare leaders at the World Economic Forum urged for new bold solutions to accelerate medical advancement
CEO and co-founder Moshe Becker explains how RadLogics pioneered the use of AI in radiology to become one of the first in the world to detect COVID-19
A call for equitable global vaccine distribution from Patricia Mechael, co-founder and Policy Lead at HealthEnabled