Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

101
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
101
Assessment of the Gastrointestinal System I: Subjective Data01:17

Assessment of the Gastrointestinal System I: Subjective Data

175
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health History
The initial step in assessing the GI system is obtaining a comprehensive health history. This includes inquiring about the patient's history or presence of problems...
175
Chronic Pancreatitis II: Collaborative Care01:29

Chronic Pancreatitis II: Collaborative Care

84
The management of chronic pancreatitis is multifaceted, involving a comprehensive approach that includes thorough assessment, diagnostic testing, and a variety of management strategies.
Assessment:
84
Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

316
A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
316
Data Collection III01:05

Data Collection III

2.7K
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
2.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Wearable Camera-Based Dietary Assessment of Mother-Father Dyads in Urban and Rural Households in Ghana.

Current developments in nutrition·2026
Same author

Eating architecture components and their associations with BMI in urban and rural Ghanaian mothers, fathers, children, and adolescents, assessed using a wearable camera: A cross-sectional study.

Chronobiology international·2026
Same author

Image-Based Volume Estimation for Food in a Bowl.

Journal of food engineering·2026
Same author

Standardised and Objective Dietary Intake Assessment Tool (SODIAT): Protocol of a dual-site dietary intervention study to integrate dietary assessment methods.

F1000Research·2025
Same author

Energy and Nutrient Intakes of Public Health Concern by Rural and Urban Ghanaian Mothers Assessed by Weighed Food Compared to Recommended Intakes.

Nutrients·2025
Same author

Food-related behaviors of rural (Asaase Kooko) and peri-urban (Kaadjanor) households in Ghana.

Frontiers in nutrition·2025
Same journal

Multimodal Contrastive Spatiotemporal Self-Organizing Neural Networks for In-Home Activity Learning of Mild Cognitive Impairment.

IEEE journal of biomedical and health informatics·2026
Same journal

Integrating Multi-View Residue Graph and Protein Language Model for Cell-Penetrating Peptide Prediction via Global-Local Graph Aggregation and Cross-Attentive Fusion.

IEEE journal of biomedical and health informatics·2026
Same journal

An Ultra-Lightweight Cross-scale Attention Mamba Network for Accurate Skin Lesion Segmentation.

IEEE journal of biomedical and health informatics·2026
Same journal

Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer.

IEEE journal of biomedical and health informatics·2026
Same journal

stDGCN: A dual-augmentation graph convolutional network for identifying spatial domains with attention mechanism.

IEEE journal of biomedical and health informatics·2026
Same journal

Patient-specific Biomechanical Investigation of Percutaneous Pulmonary Valves: Towards the Integration of Routinely Acquired Clinical Data and Fluid-structure Interaction Simulations.

IEEE journal of biomedical and health informatics·2026
See all related articles

Related Experiment Video

Updated: Jun 23, 2025

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

7.2K

Dietary Assessment With Multimodal ChatGPT: A Systematic Analysis.

Frank P-W Lo, Jianing Qiu, Zeyu Wang

    IEEE Journal of Biomedical and Health Informatics
    |June 20, 2024
    PubMed
    Summary
    This summary is machine-generated.

    Artificial intelligence (AI) using GPT-4V enhances dietary assessment by accurately identifying diverse foods and estimating portion sizes from wearable camera data, overcoming limitations of traditional methods.

    More Related Videos

    Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
    04:54

    Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

    Published on: March 19, 2021

    4.6K
    A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
    04:19

    A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

    Published on: May 10, 2022

    3.8K

    Related Experiment Videos

    Last Updated: Jun 23, 2025

    'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
    04:46

    'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

    Published on: September 18, 2018

    7.2K
    Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
    04:54

    Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

    Published on: March 19, 2021

    4.6K
    A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
    04:19

    A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

    Published on: May 10, 2022

    3.8K

    Area of Science:

    • Nutrition informatics
    • Artificial intelligence in healthcare
    • Dietary assessment technologies

    Background:

    • Traditional dietary assessment methods (self-reporting, interviews) are subjective, inaccurate, and time-consuming.
    • Existing AI solutions for dietary assessment are fragmented, lacking generalization across food types, behaviors, and cultures.
    • Multimodal foundation models like GPT-4V show promise for complex task generalizability due to large-scale pre-training.

    Purpose of the Study:

    • To explore the application of GPT-4V-powered ChatGPT for automated dietary assessment.
    • To investigate the effectiveness of prompt engineering and passive monitoring techniques with GPT-4V for dietary analysis.
    • To evaluate GPT-4V's performance in food detection and portion size estimation using real-world dietary data.

    Main Methods:

    • Utilized a self-collected, semi free-living dietary intake dataset captured via wearable cameras.
    • Employed GPT-4V (multimodal ChatGPT) for food detection and portion size estimation.
    • Applied prompt engineering (e.g., specifying cuisine types) to guide GPT-4V's analysis.
    • Leveraged contextual awareness of GPT-4V for scale reference in portion size estimation.

    Main Results:

    • GPT-4V demonstrated high accuracy in food detection, even in challenging conditions, without food-specific fine-tuning.
    • Prompt engineering enabled GPT-4V to identify specific regional dishes (e.g., banku, ugali) beyond common food items.
    • GPT-4V effectively used surrounding objects as scale references to estimate food portion sizes.
    • The multimodal approach showed significant potential for comprehensive dietary assessment.

    Conclusions:

    • GPT-4V-powered multimodal ChatGPT offers a robust and generalizable solution for automated dietary assessment.
    • This AI approach overcomes key limitations of traditional methods and fragmented AI solutions.
    • Future applications may include improved nutritional monitoring, personalized dietary guidance, and public health research.