The Role of AI in Serious Games and Gamification for Health: Scoping Review.
Daniel TolksJohannes Jeremy SchmidtSebastian KuhnPublished in: JMIR serious games (2024)
The review shows limited quality of evidence for the combination of AI and games in health care. Most of the included studies were nonrandomized pilot studies with few participants (14/16, 88%). This leads to a high risk for a range of biases and limits overall conclusions. However, the first results present a broad scope of possible applications, especially in motion and cognitive impairment, as well as positive perceptions by patients. In future, the development of adaptive game designs with direct interaction between AI and games seems promising and should be a topic for future reviews.
Keyphrases
- healthcare
- artificial intelligence
- virtual reality
- cognitive impairment
- end stage renal disease
- ejection fraction
- newly diagnosed
- current status
- public health
- chronic kidney disease
- primary care
- prognostic factors
- peritoneal dialysis
- mental health
- machine learning
- risk assessment
- patient reported outcomes
- deep learning
- climate change
- patient reported