The importance of AI in global and population health
With growing concerns over access, health poverty and affordability of care, what opportunities does AI offer?
2 minute readHow to judge machine learning research
Rachelle Aviv and Zack Dvey-Aharon on retrospective versus prospective validation
6 minute readHow do we develop clinician confidence in AI?
Different factors influence healthcare workers’ confidence in AI - what does this mean for design and deployment?
4 minute readAnalysis
AI’s biggest challenge
Access, use and sharing of healthcare data: our moon shot mission
3 minute readAnalysis
Developing and deploying real-time AI in patient care
Leaders from Texas Children’s, University of Alabama at Birmingham, and Johns Hopkins, look forward to an immersive session at AIMed’s Global Summit
4 minute readArtificial intelligence in medicine where it really matters
Stanford AIMI: Inside the AIMed Champion Institution
Dr. Curtis Langlotz, renowned Director of Stanford AIMI, on how AI will transform the practice of medicine
A new generation of medical AI talent
At the UK’s Centre for Doctoral Training in AI for Medical Diagnosis and Care, doctoral students are tasked with revolutionary research projects that could potentially revamp and transform cancer treatment
How a forgotten simulation exercise kickstarted Johns Hopkins role in 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
Using AI as an infectious disease containment strategy
The University of Gothenburg is making a bold and pioneering move to revolutionize current epidemic testing and containment strategies using machine learning
Making data in the wild more accessible
How London’s UCL Institute of Health Informatics created an open-source database and 'Github' of phenotyping
The latest technological advancements in the future of AI
Connecting imaging and care delivery to improve outcomes
Nuance explain how their precision imaging network brings imaging stakeholders together to improve detection, diagnosis, treatment, and follow-up
New report shows proven outcomes of AI in healthcare
Case studies showing the outcomes being achieved by the use of AI in healthcare
AI is improving health in remote and underprivileged communities
NuraLogix explain how their contactless blood pressure monitoring technology works
From subjective observation to objective measurement
With the use of AI, Belgian company Icometrix is on a mission to give radiological reports a brand new look
On the go medical records and smart analytics
How a tragic misdiagnosis turned into an opportunity to align practitioners, patients and payers into a force to transform healthcare