AI lessons from healthcare: Overcoming complexity and embracing the cloud
The healthcare industry has pioneered some of the most effective, innovative approaches for moving AI into production.
The healthcare industry has pioneered some of the most effective, innovative approaches for moving AI into production.
Real-time data, real-world data, and AI are improving healthcare data management, accelerating medical research and improving care.
The most innovative healthcare you can see today, which we're calling Telehealth 2.0, is virtual-first and happening outside of the hospital.
Stanford HAI researchers find that, with better medical datasets, we may be able to understand modern disease and optimally treat patients.
Despite progress in the field of healthcare AI, a recent survey found that regardless of actual advancements made, around 50% of U.S. adults say they have not seen or experienced…
AI is a crucial tool for healthcare providers today, from revenue cycle management and patient engagement to operational efficiencies.
The Estonian Genome Centre is leading an ambitious pilot program to sequence the DNA of 200,000 Estonian citizens, securely manage the data at scale and weave insights into regular medical…
As AI continues to be applied across the healthcare spectrum — from administration to patient interaction and medical research, diagnosis and treatment — here's how it's making an impact.
As a rapidly evolving technology, AI is adapting itself to the needs of the healthcare industry at an unprecedented pace.
In a study by Botco AI, 100% of respondents said they expanded virtual behavioral support, including conversational AI, during the pandemic.