If you ask academic machine learning experts about the things that annoy them, high up the list is going to be overblown headlines about how machines are beating humans at some task where that is completely untrue. This is partially because reality is already so damn amazing there is no need for hyperbole. Most of Atari is solved. Professional transcriptionists lose to voice recongition systems. Object recognition has been counted on the machine side of the tally for years (albeit with a few more reservations). Considering the headlines we see, this may surprise many people. For someone who watches the medical AI space, it seems like a day can't go by without some new article reporting on a new piece of research in which the journalists say machines are outperforming human doctors. I'm sure anyone who stumbles on this blog has seen many of them. I didn't even have to search for these. Almost all of them are still at the top of my Twitter feed.

Vale of York Clinical Commissioning Group green-lit the scheme following a randomised control trial featuring around 1,000 patients treated at York Teaching Hospitals Foundation Trust over the last four years. The trial used AI to identify patients, often with long-term conditions, who were at risk of an unplanned hospital admission. These patients then received coaching from nurses for up to six months to help them take greater control of their health. The trial reported a 30 per cent reduction in unplanned hospital admissions and 25 per cent decrease in planned admissions within the patient group which received the intervention, compared to the cohort which did not. The CCG will now fund health coaching for up to 1,800 patients.

WHAT is the collective noun for a group of economists? Options include a gloom, a regression or even an assumption. In January, when PhD students jostle for jobs at the annual meeting of the American Economic Association, a "market" might seem the mot juste. Or perhaps, judging by the tendency of those writing economic papers to follow the latest fashion, a "herd" would be best. This year the hot technique is machine learning, using big data; Imran Rasul, an economics professor at University College, London, is expecting to read a pile of papers using this voguish technique.

WHAT is the collective noun for a group of economists? Options include a gloom, a regression or even an assumption. In January, when PhD students jostle for jobs at the annual meeting of the American Economic Association, a "market" might seem the mot juste. Or perhaps, judging by the tendency of those writing economic papers to follow the latest fashion, a "herd" would be best. This year the hot technique is machine learning, using big data; Imran Rasul, an economics professor at University College, London, is expecting to read a pile of papers using this voguish technique.