NutriTrack: AI-Assisted Nutritional Tracking in the Obesity Clinic

Official title

NutriTrack: An Artificial Intelligence Application for Nutritional and Behavioral Tracking in Patients With Obesity in an Outpatient Obesity Clinic: A Prospective Observational Pilot Study

Overview

NutriTrack is a digital health application designed to support nutritional and behavioral tracking in patients with obesity followed in an outpatient obesity clinic. The application allows patients to record food intake using food photographs, barcode scanning, or manual search, and to register behavioral variables related to eating episodes. This prospective, single-center, observational pilot study will evaluate the feasibility and usability of NutriTrack in 20 to 50 adult patients with obesity or overweight with comorbidities followed at the Obesity Clinic of Hospital Clínico San Carlos. Participants will use the application for 4 weeks as a complementary tool. The information generated by NutriTrack will be available to healthcare professionals as supportive information and will not replace clinical judgment or modify usual care decisions. The main outcome is usability measured using the System Usability Scale. Secondary and exploratory outcomes include agreement between artificial intelligence-based nutritional estimates and standard dietitian assessment, adherence to daily food logging, professional perceived clinical utility, changes in eating behavior and emotional regulation scales, and technical feasibility of data export.

Detailed description

NutriTrack is a digital health application developed within Hospital Clínico San Carlos and Universidad Complutense de Madrid to support nutritional and behavioral tracking in patients with obesity. The application integrates artificial intelligence-based food image recognition, the Spanish BEDCA nutritional database, and a rule-based engine for the detection of clinically relevant eating patterns.

This is a prospective, single-center, observational pilot study with complementary clinical use. The application will be used by adult patients followed at the Obesity Clinic for 4 weeks. Participants will record daily food intake and behavioral variables related to eating episodes, including hunger, satiety, emotional state, eating context, eating speed, perceived control, and cravings.

Healthcare professionals may review the NutriTrack clinical panel as supportive information. The application output will not replace clinical judgment, will not trigger automated clinical decisions, will not modify usual care, and will not be integrated into the hospital electronic health record during the pilot phase.

The study will assess usability, nutritional estimation accuracy, adherence to food logging, professional perceived clinical utility, exploratory changes in emotional regulation and eating behavior, and technical feasibility of data export. The study is intended to generate preliminary evidence to support future larger-scale validation.

Interventions

• Other NutriTrack digital health application
  NutriTrack is a digital health application used for nutritional and behavioral tracking. Patients record food intake using food photographs, barcode scanning, or manual search, and report behavioral variables such as hunger, satiety, emotional state, eating context, eating speed, perceived control, and cravings. The application output is informational, requires healthcare professional supervision, and does not replace clinical judgment or modify usual care.

Primary outcome measures

• System Usability Scale score [Time frame: Week 4]

Secondary outcome measures (3)

• Correlation between AI-based caloric estimation and dietitian assessment [Time frame: Week 4]
• Adherence to daily food logging [Time frame: From baseline to Week 4]
• Healthcare professional perceived clinical utility score [Time frame: Week 4]

Eligibility criteria

Inclusion criteria

• Age 18 years or older.
• Diagnosis of obesity, defined as body mass index 30 kg/m2 or higher, or overweight with comorbidities, defined as body mass index 27 kg/m2 or higher.
• Active follow-up at the Obesity Clinic of Hospital Clínico San Carlos.
• Regular possession and use of a smartphone with iOS or Android operating system.
• Ability to read and understand Spanish.
• Signed informed consent.

Exclusion criteria

• Active diagnosed eating disorder, including anorexia nervosa, bulimia nervosa, or binge eating disorder.
• Cognitive impairment preventing autonomous use of the application.
• Simultaneous participation in another nutritional intervention study.
• Inability or refusal to use mobile technology.
• Current pregnancy or breastfeeding.
• Acute medical condition requiring hospitalization during the study period.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model

Cohort

Study locations

Spain · 1 center

• Hospital Clínico San Carlos — Madrid

Publications

• Ministerio de Sanidad. Base de Datos Española de Composición de Alimentos (BEDCA). 2023.
• Gratz KL, Roemer L. Multidimensional assessment of emotion regulation and dysregulation. Journal of Psychopathology and Behavioral Assessment. 2004;26(1):41-54.
• Fairburn CG, Beglin SJ. Eating Disorder Examination Questionnaire (EDE-Q 6.0). Guilford Press; 2008.
• Brooke J. SUS: A quick and dirty usability scale. Usability Evaluation In Industry. 1996;189(194):4-7.

Identifiers

NCT: NCT07588620 · NUTRITRACK-CEI-HCSC-2026-001

Primary sources (government registries)

• ClinicalTrials.gov (US NIH)

View this study on ClinicalTrials.gov ↗