Resorting to AI may sound like something from science fiction, but computer programs with superhuman capabilities have become reality with Google DeepMind’s recent vicory in beating an expert player at the game of Go.
Professor Neil Lawrence, University of Sheffield, although, is disappointed it took so long for thorough learning to crack the game of Go, particularly when computer programs were capable to beat humans at Chess over 20 years ago. Lawrence elaborated the data delusion and the present inefficiencies of deep learning in terms of the tools utilized.
“The tools you utilize should not limit the way you consider”, although, was the key principle of Diogo Moitinho de Almeida, Senior Data Scientist, Enlitic, who considers we can do better and that “deep learning is awesome.”
Some of the applications of deep learning at the Summit certainly did appear awesome. Ali Parsa, CEO of Babylon Health demoed their upcoming app which inquired the user a series of queries in case to determine the severity of the user’s medical symptom, in the similar way as a triage nurse. Parsa expects that deep learning can even take us one step further from sickcare to healthcare.
The move towards a more predictive instead than reactive healthcare system was also discussed during a panel on how AI will assist to enhance and personalize healthcare. Cosimo Gretton, a doctor at Guy’s and St Thomas’ NHS Foundation Trust elaborated how predictive analytics in healthcare is a transformative approach but it will need changes to the system so that clinicians can use the algorithms successfully.
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