AIMC Journal:
Pilot and feasibility studies

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A machine learning approach to using ultrasound for body composition and nutritional status assessment in newborns: a pilot study protocol.

Pilot and feasibility studies
BACKGROUND: Accurate assessment of infant body composition, specifically fat and fat-free mass, is crucial for evaluating growth and nutritional status. Existing methods, such as air displacement plethysmography and dual-energy X-ray absorptiometry, ...