Hannah Fry as Herself - Presenter

Episodes 3

How to Find Love Online

60%
April 25, 20161h
53x7

Dr Xand Van Tulleken is single and looking for love. Mathematician Dr Hannah Fry wants to use him as her guinea pig to test whether the algorithms that dating sites use to match people actually work.

While Hannah builds a dating site, Xand meets the scientists investigating online dating - and learns what pictures to use and what to write in his profile. He tries out a 'bot' that has automated a swiping app and has an MRI scan to find out whether his brain is equipped for love.

50 members of the public take part in some mini experiments at a date night - and Xand goes on various dates to test whether the algorithm is better than him choosing randomly.

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54x9

This episode of Horizon looks at the issues that will change the way we live our lives in the future. Rather than relying on the minds of science fiction writers, mathematician Hannah Fry delves into the data we have today to provide an evidence-based vision of tomorrow. With the help of the BBC's science experts - and a few surprise guests - Hannah investigates the questions the British public want answered about the future.

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55x12

Could a machine replace your doctor? Dr Hannah Fry explores the incredible ways AI is revolutionising healthcare - and what this means for all of us. This film chronicles the inside story of the AI health revolution, as one company, Babylon Health, prepare for a man vs machine showdown. Can Babylon succeed in their quest to prove their AI can outperform human doctors at safe triage and accurate diagnosis? Artificial intelligence is starting to transform healthcare beyond recognition - and tech companies large and small see almost limitless commercial opportunity. The ultimate vision is for accessible, affordable, better healthcare for almost everyone with a phone. In Britain this is already radically changing how some of us see our GPs. And in a world with a chronic shortage of doctors, but where even the very poor own mobile phones, it could be truly revolutionary. To witness this revolution from the inside, this film has privileged, behind-the-scenes access to ambitious British tech start-up Babylon Health, whose CEO Dr Ali Parsa declares with complete conviction 'we're going to do with healthcare what Google did with information.' Babylon launched its GP at Hand app in London in late 2017 and has already persuaded 30,000 Londoners to quit their old GPs to register instead for this NHS 'digital first' service, where patients discuss symptoms with an AI chatbot and see a doctor in minutes 24/7 via their phone. But GP at Hand's arrival has proved controversial - with many traditional GPs worried about the disruptive consequences for them and their patients, and others seeking to thwart its expansion nationwide. As this film reveals, there is a fundamental culture clash at play - between the 'move fast and break things' world of tech, and the cautious, diligent, often slow-moving world of medical science. So how will both camps respond when Babylon's AI attempts to pass the diagnostic sections of the Royal College of GPs exam? Amazingly, the NHS is today the largest purchaser of fax machines in the world - and the British government are eagerly embracing AI as the remedy for our public health system's antiquated inefficiencies. British health secretary Matt Hancock is an unabashed evangelist for tech - boasting Babylon's GP at Hand as his GP. Yet some scientists are increasingly alarmed, questioning the current hype and asking where is the proof that AI health apps, now in widespread use, are effective and safe. How should they be evaluated and regulated? And what needs to happen before we all trust our health to AI? As well as following a tumultuous year inside Babylon, both in the UK and Rwanda, the film also explores how another British AI Health start-up, Kheiron Medical, has successfully used deep learning to train its AI to detect breast cancer and now outperforms human radiologists at spotting the tell-tale signs of cancer in mammograms.

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