AIMC Topic: Mobile Applications

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A novel smart baby cradle system utilizing IoT sensors and machine learning for optimized parental care.

Scientific reports
The IoT Smart Cradle for Baby Monitoring System & Infant Care is introduced as an innovative solution to address critical gaps in contemporary infant care. This system integrates Internet of Things (IoT) technology, machine learning, and smart automa...

Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis.

Scientific reports
Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes that may occur between visits being missed. Mobile t...

Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study.

JMIR mHealth and uHealth
BACKGROUND: The increasing use of direct-to-consumer artificial intelligence (AI)-enabled mobile health (AI-mHealth) apps presents an opportunity for more effective health management and monitoring and expanded mobile health (mHealth) capabilities. H...

Controlled Intervention Study on Effects of an AI-Based App to Support Wound Care: First Results.

Studies in health technology and informatics
The KIADEKU project combines datascience and the clinical expertise of wound experts to develop and evaluate an AI-application for incontinence-associated-dermatitis (IAD) and pressure ulcer (PU) wound care. The evaluation study is a controlled, non-...

Designing and Testing a Physical Activity App with a Chatgpt-Based Chatbot.

Studies in health technology and informatics
BACKGROUND AND OBJECTIVE: ChatGPT shows potential as a tool for creating content for health promotion. For example, personalised physical activity (PA) intervention messages can be generated efficiently using ChatGPT. We aimed to develop and test a c...

Development of a Voice-Interactive Chatbot for Personalized Health Management Using a Lifestyle Recommendation Knowledge Base.

Studies in health technology and informatics
This paper introduces a voice-interactive chatbot designed to provide personalized health recommendations through a knowledge base built on validated medical literature. By leveraging 17 key health variables, the chatbot addresses approximately 150 m...

Validation of a fingertip home sleep apnea testing system using deep learning AI and a temporal event localization analysis.

Sleep
STUDY OBJECTIVES: This paper validates TipTraQ, a compact home sleep apnea testing (HSAT) system. TipTraQ comprises a fingertip-worn device, a mobile application, and a cloud-based deep learning artificial intelligence (AI) system. The device utilize...

Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers' perspectives.

BMC cancer
BACKGROUND: Mobile health (mHealth) applications (apps) integrated with artificial intelligence for skin cancer triage are increasingly available to the general public. Nevertheless, their actual uptake is limited. Although endorsement by healthcare ...

A Neural Network for Atrial Fibrillation Detection via PPG.

Studies in health technology and informatics
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with severe complications such as ischemic stroke and heart failure. Early detection is essential for timely intervention; however, traditional diagnostic methods often lack scalab...