A recent paper released by Duke University cites the promise of AI, but urges policy changes in order to bring AI-enabled clinical decision software to fruition.
Successful integration requires a rethinking around the role of data science in product design and lifecycle management.
It is time to extend AI’s use into labor & delivery departments, where the technology can help guide care teams to mitigate risks and make informed decisions.
Smart technologies will continue to play a big role in advancing decision-making efforts.
The race to apply AI to medical treatment is rapidly accelerating in China and Japan.
Artificial intelligence is here to stay, but its ultimate success hinges on how it is deployed.
Digital transformation, artificial intelligence and start-up technologies are some of the topics that will be discussed at the event in November.
Not surprisingly, data science will reign over blockbuster drugs or devices.