Search Results (1 to 9 of 9 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 2 JMIR Formative Research
- 2 JMIR Public Health and Surveillance
- 2 Journal of Medical Internet Research
- 1 JMIR AI
- 1 JMIR Human Factors
- 1 Online Journal of Public Health Informatics
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Medical Informatics
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 JMIR XR and Spatial Computing (JMXR)
We curate the traditional feature sets to those that could be practically acquired without laborious manual ground truthing of exams, as this would permit large-scale deployment of this technology to health care institutions. To highlight the use of eye-tracking data and artificial intelligence, we term our general approach “biometric radiology artificial intelligence.”
JMIR Form Res 2025;9:e53928
Download Citation: END BibTex RIS
A better understanding of the reasons for the performance gap so as to enhance the real-world performance of DL-based models could help promote the implementation of AI on the ground, but related evidence is scarce.
In the development of medical AI, human expert labels usually serve as the gold standard to compare with and evaluate model results [11]. The accuracy of AI model–based tasks critically depends on high-quality labels.
J Med Internet Res 2024;26:e52506
Download Citation: END BibTex RIS
Moreover, several public health studies have found Google data to be a reliable source for identifying food retailers [27-30] comparable to in-person ground-truthing audits. Thus, it is likely that most food outlets have a Google Maps business listing and can be representative of the local food environment.
Relevant search terms (n=120) representative of the food environment were obtained from a list of over 4000 Google My Business categories, publicly available online [31].
JMIR Public Health Surveill 2024;10:e59924
Download Citation: END BibTex RIS
During the local and national testing and retraining, ground-truthing, or annotation of data to compare with algorithm predictions, is an essential process during model evolution. While fully automated methods exist, typically achievable in binary classification tasks with well-structured data, more complex tasks such as segmentation tasks (eg, identification of a lesion on a scan) will require manual labeling by a specialist.
JMIR AI 2023;2:e42940
Download Citation: END BibTex RIS
Movement
Indoor localization
Movement
Indoor localization
Silhouette outline
2 D and 3 D bounding boxes around participant
Humidity
Temperature
Light
Pressure
Detecting movement
Use of kettle, toaster, television, washing machine, refrigerator, and microwave
Use of mains electricity
Use of toilet and taps in bathrooms
High-resolution video data can be used to add additional objective evidence about a symptom at the time when another passive sensor is collecting data, evidence that is called ground truth.
JMIR Hum Factors 2022;9(3):e36370
Download Citation: END BibTex RIS
Similar to Google Street View, Apple Look Around relies upon ground surveys conducted by commissioned vehicles to collect geographic imagery data [23]. Select areas of Park Slope without 2019 time-stamped Google Street View data were supplemented with 2019 time-stamped Apple Look Around imagery to complete the data collection for this neighborhood.
Following the 2019 Google Street View data extraction, an in-person check was conducted for each fresh fruit and vegetable vendor between June and July of 2020.
JMIR Form Res 2021;5(2):e23870
Download Citation: END BibTex RIS
It should also be noted that observational methods alone, such as ground truthing, where observers would drive every street in an area to locate targeted retailers (eg, locating vape shops [18]), would be unfeasible, given there are 4751 square miles in Los Angeles (85% of which are land), and also that many cannabis outlets identified from the online sources were unrecognizable during observations as outlets that sold cannabis (ie, 27.7% had no signage indicating the outlet sold cannabis).
J Med Internet Res 2020;22(2):e16853
Download Citation: END BibTex RIS
The geospatial data so constructed was subsequently reassessed for land parcel position (location, size, and shape) and attribute accuracy through ground-truthing–based verification exercises. Temporal changes that emerged during the course of the data construction were also incorporated in this exercise.
The methodology for verification of geospatial datasets through community-based ground-truthing was formulated through a pilot study conducted at 6 surveillance villages.
JMIR Public Health Surveill 2018;4(4):e66
Download Citation: END BibTex RIS
Enhancing Situational Awareness by Ground Truthing with Historical Outbreaks
Enhancing Situational Awareness by Ground Truthing with Historical Outbreaks
Online J Public Health Inform 2014;6(1):e61351
Download Citation: END BibTex RIS