
Sign up to save your podcasts
Or


The use of artificial intelligence (AI) in healthcare has brought numerous benefits, including reduced burnout for doctors and improved efficiency in clinical trials. NVIDIA has been optimizing the healthcare space for 15 years, building domain-specific applications for healthcare. However, medical professionals need to learn how to effectively verbalize their findings in the exam room to fully benefit from AI technology. Challenges still exist, such as the impact on patient treatments and the need for continuing medical education for algorithms. Partnerships between organizations are driving innovation, and regulation of AI in healthcare is an ongoing process. Despite advancements, there is still much to learn about health conditions and the role of the environment.
By Dr. Tony Hoang4.6
99 ratings
The use of artificial intelligence (AI) in healthcare has brought numerous benefits, including reduced burnout for doctors and improved efficiency in clinical trials. NVIDIA has been optimizing the healthcare space for 15 years, building domain-specific applications for healthcare. However, medical professionals need to learn how to effectively verbalize their findings in the exam room to fully benefit from AI technology. Challenges still exist, such as the impact on patient treatments and the need for continuing medical education for algorithms. Partnerships between organizations are driving innovation, and regulation of AI in healthcare is an ongoing process. Despite advancements, there is still much to learn about health conditions and the role of the environment.

91,069 Listeners

32,152 Listeners

229,110 Listeners

1,100 Listeners

341 Listeners

56,469 Listeners

154 Listeners

8,877 Listeners

2,049 Listeners

9,902 Listeners

506 Listeners

1,863 Listeners

76 Listeners

268 Listeners

4,245 Listeners