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A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

For instance, each participant was asked to use the Samsung Galaxy Note 10 camera to photograph the fruits to ensure consistency in device specifications. The pictures were taken at a 45° angle under sufficiently bright light, such as in the kitchen or living room. Furthermore, by having participants align the fruits with the square gray lines shown in Figure 5, we ensured that the orientation and size of the fruits within the pictures did not affect the classification results.

Minki Chun, Ha-Jin Yu, Hyunggu Jung

JMIR Form Res 2024;8:e55342

Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods Study

Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods Study

The most basic challenge is that users must remember to record in real time, for the simple reason that they cannot photograph food that has already been eaten. Reminding users to capture images using customized text prompts immediately before a meal has previously been shown to improve adherence to an image-based method [9].

Lachlan Lee, Rosemary Hall, James Stanley, Jeremy Krebs

JMIR Mhealth Uhealth 2024;12:e52074

Store-and-Forward Images in Teledermatology: Narrative Literature Review

Store-and-Forward Images in Teledermatology: Narrative Literature Review

Key search terms included patient-initiated, patient-submitted, clinician-initiated, clinician-submitted, store-and-forward, asynchronous, remote, image, photograph, and teledermatology. The study designs of the identified literature included a meta-analysis, systematic reviews, randomized controlled trials, and observational studies.

Simon W Jiang, Michael Seth Flynn, Jeffery T Kwock, Matilda W Nicholas

JMIR Dermatol 2022;5(3):e37517