AIMC Topic: Mobile Applications

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Deep Learning Model to Classify and Monitor Idiopathic Scoliosis in Adolescents Using a Single Smartphone Photograph.

JAMA network open
IMPORTANCE: Adolescent idiopathic scoliosis (AIS) is the most common pediatric spinal disorder. Routine physical examinations by trained personnel are critical to diagnose severity and monitor curve progression in AIS. In the presence of concerning m...

[Application possibilities of digital tools in postoperative pain therapy].

Schmerz (Berlin, Germany)
BACKGROUND: Recently, digital tools, such as smartphone-based applications and the use of artificial intelligence have increasingly found their way into pain medicine. This could enable new treatment approaches in postoperative pain management. There...

Safe human-robot collaboration in construction: A conceptual perspective.

Journal of safety research
INTRODUCTION: Small mobile robots have become increasingly popular in the construction domain over the last few years. They are stable on rough terrains, can walk over small obstacles, climb stairs, and carry various sensors or arms to perform divers...

Achieving trust in health-behavior-change artificial intelligence apps (HBC-AIApp) development: A multi-perspective guide.

Journal of biomedical informatics
OBJECTIVE: Trust determines the success of Health-Behavior-Change Artificial Intelligence Apps (HBC-AIApp). Developers of such apps need theory-based practical methods that can guide them in achieving such trust. Our study aimed to develop a comprehe...

Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach.

Journal of medical Internet research
BACKGROUND: Micronutrient deficiencies represent a major global health issue, with over 2 billion individuals experiencing deficiencies in essential vitamins and minerals. Food labels provide consumers with information regarding the nutritional conte...

A "Do No Harm" Novel Safety Checklist and Research Approach to Determine Whether to Launch an Artificial Intelligence-Based Medical Technology: Introducing the Biological-Psychological, Economic, and Social (BPES) Framework.

Journal of medical Internet research
Given the impact artificial intelligence (AI)-based medical technologies (hardware devices, software programs, and mobile apps) can have on society, debates regarding the principles behind their development and deployment are emerging. Using the biop...

Video gaming improves robotic surgery simulator success: a multi-clinic study on robotic skills.

Journal of robotic surgery
We aimed to investigate the effects of video game habits, duration of experience, and training in different surgical clinics on the success of robotic surgery simulators. In this prospective, observational, comparative, and multi-clinical study, all ...

Ethical issues of the use of AI-driven mobile apps for education.

Frontiers in public health
Nowadays, artificial intelligence (AI) affects our lives every single day and brings with it both benefits and risks for all spheres of human activities, including education. Out of these risks, the most striking seems to be ethical issues of the use...

Quantitative Gait Feature Assessment on Two-Dimensional Body Axis Projection Planes Converted from Three-Dimensional Coordinates Estimated with a Deep Learning Smartphone App.

Sensors (Basel, Switzerland)
To assess pathological gaits quantitatively, three-dimensional coordinates estimated with a deep learning model were converted into body axis plane projections. First, 15 healthy volunteers performed four gait patterns; that is, normal, shuffling, sh...