Artificial intelligence-based clinical decision support for liver transplant evaluation and considerations about fairness: A qualitative study.
Alexandra T StraussCarolyn N SidotiHannah C SungVedant S JainHarold LehmannTanjala S PurnellJohn W JacksonDaniel MalinskyJames Peter HamiltonJacqueline M Garonzik WangStephen H GrayMacey L LevanJeremiah S HinsonAyse P GursesAhmet GürakarDorry L SegevScott LevinPublished in: Hepatology communications (2023)
Overall, providers interviewed were cautiously optimistic about the potential for AI-CDS to improve clinical and equitable outcomes for patients. These findings can guide multidisciplinary developers in the design and implementation of AI-CDS that deliberately considers health equity.
Keyphrases
- artificial intelligence
- clinical decision support
- machine learning
- big data
- deep learning
- healthcare
- quantum dots
- end stage renal disease
- newly diagnosed
- public health
- chronic kidney disease
- primary care
- mental health
- prognostic factors
- quality improvement
- type diabetes
- adipose tissue
- risk assessment
- patient reported outcomes
- social media