AIMC Topic: Mobile Applications

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Potential of the World Health Organization's Skin NTDs App to Support and Improve the Detection of Skin-Related Neglected Tropical Diseases: Protocol for a Performance Evaluation and Feasibility Study in Senegal.

JMIR research protocols
BACKGROUND: The World Health Organization (WHO) roadmap aims to control, eliminate, or eradicate neglected tropical diseases (NTDs) by promoting innovation in prevention, diagnosis, and treatment. In this context, mobile health (mHealth) tools could ...

Digital Health Intervention in Snakebite Management: Scoping Review.

Journal of medical Internet research
BACKGROUND: Snakebite envenoming is a neglected tropical disease that causes significant morbidity and mortality, with an estimated 81,410-137,880 deaths annually, primarily in rural, low-resource settings. Digital health interventions, particularly ...

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data.

ACS sensors
In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this is...

Deep Learning-Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility.

JMIR research protocols
BACKGROUND: Circumcision is a widely practiced procedure with cultural and medical significance. However, certain penile abnormalities-such as hypospadias or webbed penis-may contraindicate the procedure and require specialized care. In low-resource ...

A robust hydroponic system for horticulture farming using deep learning, IoT, and mobile application.

PloS one
Due to limited literacy among root-level farmers, hydroponic farming in Bangladesh faces significant challenges. Therefore, there is a demand for easy-to-use technical systems to help farmers to monitor and operate smart systems. To address the issue...

Proposition of a new, minimally-invasive, software smartphone device to predict sleep apnea and its severity.

Sleep & breathing = Schlaf & Atmung
PURPOSE: obstructive sleep apnea is underdiagnosed due to limited access to polysomnography (PSG). We aimed to assess the performances of Apneal, an application recording sound and movements thanks to a smartphone's microphone, accelerometer and gyro...

Evolving Medical Students' Digital Health Perceptions and Intentions: Insights From a Prepandemic and Postpandemic Survey Study.

Journal of medical Internet research
BACKGROUND: Digital health (dHealth) technologies, such as telehealth, artificial intelligence (AI), and mobile apps, are increasingly essential in medical practice. However, despite their growing significance, medical curricula often lack structured...

The Mobile Constant, a Self-Reported Method for Shoulder Function Evaluation: Development and Validation Study.

Journal of medical Internet research
BACKGROUND: Shoulder pain is a highly prevalent musculoskeletal disorder that severely compromises patients' quality of life. The Constant-Murley Scale (CMS) is a well-established method for shoulder function evaluation. However, the necessity of cli...

Performance of mental health chatbot agents in detecting and managing suicidal ideation.

Scientific reports
Advances in artificial intelligence (AI) technologies sparked a rapid development of smartphone applications designed to help individuals experiencing mental health problems through an AI-powered chatbot agent. However, the safety of such agents when...

Addressing Youth Mental Health Through Schools and Primary Care Clinics Using the Connected for Wellness Mobile App: Protocol for a Stepped-Wedge Trial.

JMIR research protocols
BACKGROUND: Youth in the United States are experiencing rising rates of anxiety, depression, and other mental health challenges, yet many remain underserved due to systemic barriers such as poverty, limited access to care, and shortages in the mental...