Webinar Recording: What Health Systems can Learn from Taking a Corporate Approach to Adopting AI
Catch up on our recent blog posts
Ownership in A.I.
Building a strong A.I. team takes a lot of effort but most of all you need to have the right team members who take complete ownership over their work.
The Real Cost of Not Implementing Artificial Intelligence in Your Department of Radiology
The advent of inculcating artificial intelligence into the arena of healthcare is moving from a nonessential amenity to an essential component of a robust radiology department.
Artificial Intelligence in Medical Diagnosis
Artificial intelligence in medical diagnosis and healthcare provides medical practitioners and facilities with reliable support, helping to minimize workload pressure while maximizing practitioner efficiency.
Industry Experts Discuss AI Adoption and Implementation
KLAS Research’ recent report on “Artificial Intelligence in Imaging 2020” addresses both the opportunities and the challenges of AI adoption and focuses on best practices
Data-Driven Healthcare: Changing the Exchange of Information
Data-driven healthcare can be broken down into three distinct pillars: the use of data by patient and practitioner; the regulation of data to ensure privacy and security; and the innovations that are driving the creation of this data.
CMS Approves Reimbursement Opportunity for AI
CMS have finally approved the first reimbursement opportunity for AI – specifically for computer-assisted triage and notification for patients with suspicion of stroke.