This chapter explores how machine learning algorithms have been applied in spam filters to analyze known traits of spam and make inferences using Bayesian statistics. It then discusses the potential of machine learning in medicine, where algorithms can analyze large datasets to predict the development of cancer based on telltale traits. The chapter also examines the challenges of integrating AI into the clinical workflow and highlights the potential of surgical robots in remote areas.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode