The ambition of much of AI research is to create systems that can help to solve problems in the real world. In this episode, Hannah meets the people building systems that could be used to save the sight of thousands, help us solve one of the most fundamental problems in biology and reduce energy consumption in an effort to combat climate change. But whilst there is great potential, there are also important obstacles that will need to be tackled for AI to be used effectively, safely and fairly.If you have a question or feedback on the series, message us on Twitter (@DeepMind using the hashtag #DMpodcast) or email us at podcast@deepmind.com.Further reading:Wired: Inside DeepMind's epic mission to solve science's trickiest problemDeepMind blogs on the partnership with Moorfields NHS eye hospital and predicting eye disease, and Moorfields’ news announcement on its research with DeepMindDeepMind blog: AlphaFold: Using AI for scientific discoveryDeepMind blogs on reducing Google’s energy bill for datacentre cooling and how this project has progressedResearch paper: Tackling Climate Change with Machine LearningQuanta magazine: How Artificial Intelligence Is Changing ScienceDeepMind blog: How evolutionary selection can train more capable self-driving carsOther examples of the application of AI for real-world impact include:Francis Crick Institute: machine learning models that can help predict heart diseaseNASA: AUDREY machine learning system to better guide first responders through firesUniversity of Southern California: Protection Assistant for Wildlife Security using AI to help wildlife conservationInterviewees: Pearse Keane, consultant ophthalmologist at Moorfields Eye Hospital; Sandy Nelson, Product Manager for DeepMind’s Science Program; and DeepMind Program Manager Sims Witherspoon.Credits:Presenter: Hannah FryEditor: David PrestSenior Producer: Louisa FieldProducers: Amy Racs, Dan HardoonBinaural Sound: Lucinda Mason-BrownMusic composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)Commissioned by DeepMind Please like and subscribe on your preferred podcast platform. Want to share feedback? Or have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes.  

Pearse Keane, a Consultant Ophthalmologist at Moorfields and a Professor of Artificial Medical Intelligence at University College London, dives into the transformative role of AI in eye care. He shares insights on the successful collaboration between Moorfields and Google DeepMind to detect retinal diseases. Discover the emerging field of 'oculomics,' viewing the eye as a vital health indicator. Keane also discusses the UK’s potential to lead in healthcare AI by merging NHS data with academic expertise and the innovative ReptFound model for enhancing eye disease screenings.

Pearse Keane, an expert in AI within Ophthalmology and a Consultant Ophthalmologist at Moorfields Eye Hospital, discusses the application of AI in interpreting OCT scans and diabetic retinopathy screening. He explores the potential use of AI-based measurements for prophylactic treatment in a clinical trial for wet AMD. Keane also talks about the challenges of training AI models with OCT scans and the future potential of AI tools in interpreting advanced imaging and genetic data in eye clinics.