IntroductionMedical artificial intelligence (AI) is moving forward at considerable pace. Promising research ideas are surfacing in clinical waters; AI is automating the national 111 triage service and has exhibited dermatologist‐level performance at identifying suspicious skin lesions, a task where experts frequently disagree . The present article explores how machine learning, a prominent branch of AI, may be set to transform diabetes care.What is machine learning?Machine learning finds relationships within data; for example, a linear regression proposes a ‘line of best fit’ relationship. Such simple representations may struggle, however, to describe more complex data, as shown in Fig. . When clinical guidelines are based on simple models, they might fail to make allowances for the enormous variability found in a person's genome, medical history and their behaviours. By contrast, AI research has developed machine learning techniques that can model very large datasets with multiple, non‐linear relationships. For example, a ‘neural network’ represents data as vast numbers of interconnected neurons, analogous to the human brain; therefore, such models can approach clinical problems in a similar fashion to a clinician by integrating numerous sources of disparate information and providing a personalized solution.(a) and (b) Machine learning reveals important relationships in complex data: an
Diabetic Medicine – Wiley
Published: Jan 1, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.
All for just $49/month
Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.
Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.
It’s easy to organize your research with our built-in tools.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera