4 ways machine learning is fixing to finetune clinical nutrition

AIIN, 16/06/2021

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Beesens TEAM

4 ways machine learning is fixing to finetune clinical nutrition

"Clinical nutritionists won’t be left out of the medical AI revolution, as researchers are exploring use cases for augmented diet optimization, food image recognition, risk prediction and diet pattern analysis.

The state of the science is described in a paper published this month in Current Surgery Reports.

Applications for AI and other digital technologies are “still young, [but] there is much promise for growth and disruption in the future,” write multidisciplinary specialists at UCLA Health, San José State University and the Mayo Clinic.

The authors represent expertise in gastroenterology, molecular and biochemical nutrition, anesthesiology and general internal medicine.

Surveying recent research and literature reviews, lead author Berkeley Limketkai, MD, PhD, of UCLA Health and colleagues home in on the four aforementioned use cases. Here are snapshots of their reports on each..." Lire la suite