AIMC Topic: Mobile Applications

Clear Filters Showing 141 to 150 of 355 articles

Artificial Intelligence Evaluation of Stool Quality Guides Management of Hepatic Encephalopathy Using a Smartphone App.

The American journal of gastroenterology
Lactulose-based hepatic encephalopathy treatment requires bowel movements/day titration, which is improved with Bristol stool scale (BSS) incorporation. Dieta app evaluates artificial intelligence (AI)-based BSS (AI-BSS) with stool images. Initially,...

Identifying Behavior Change Techniques in an Artificial Intelligence-Based Fitness App: A Content Analysis.

Health education & behavior : the official publication of the Society for Public Health Education
In the field of artificial intelligence-based fitness apps, the effective integration of behavior change techniques (BCTs) is critical for promoting physical activity and improving health outcomes. However, the specific BCTs employed by apps and thei...

Digital solutions and health sciences.

Cirugia espanola
Digitalization is the conversion of analog data and information to a digital format based on bits. Digitalization allows information to be managed in a simple and standardized way. Digital health solutions are technologies that use the digitalization...

From an On-site Program to a Mobile App for Prehabilitation and Rehabilitation for Robotic Radical Prostatectomy: Lessons Learned from 5 Years of Experience, the COVID-19 Outbreak, and Comparison with Nationwide Data.

European urology oncology
Prehabilitation programs play a key role in optimizing patient experiences and outcomes after surgery. However, there are few data on robot-assisted radical prostatectomy, and prehabilitation programs may be challenging to launch and maintain over ti...

Real-time Classification of Fetal Status Based on Deep Learning and Cardiotocography Data.

Journal of medical systems
This study uses convolutional neural networks (CNNs) and cardiotocography data for the real-time classification of fetal status in the mobile application of a pregnant woman and the computer server of a data expert at the same time (The sensor is con...

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...