Table 3.

Properties of the included studies.

Study (Year)	Country	Medical Field	Medical Tasks (Problem)	Primary Users	AI Techniques
Lee [31] (2015)	USA	Emergency Dept. patients	Screening	Clinicians, nurses, planners	Machine learning
McCoy [32] (2017)	USA	Sepsis	Screening	Clinicians and nurses	Machine learning
Moon [33] (2018)	Korea	Delirium	Screening	Clinicians	Logistic regression
van der Heijden [34] (2018)	Netherlands	Diabetes/retinopathy	Screening	Clinicians	Deep Learning
Schuh [35] (2018)	Austria	All patients	Screening	Clinicians	Deep learning, fuzzy logic, decision tree
Guo [36] (2019)	China	All patients	Screening	Patients	Deep learning
Cruz [37] (2019)	Spain	Cardiology, Gastrointerology, Psychiatry	Quality improvement	Clinicians (GPs, Pediatricians)	Deep learning
Joerin [38] (2019)	USA/Canada	Psychology	Treatment	Staff, patients and family caregivers	Natural language processing
Gonçalves [39] (2020)	Brazil	Sepsis	Screening	Nurses	Deep learning
Sendak [40] (2020)	USA	Sepsis	Screening	Clinicians	Deep Learning
Gonzalez-Briceno [41](2020)	Mexico	Diabetes/retinophathy	Screening	Clinicians	Deep Learning
Xu [42] (2020)	China	All patients	Screening	Nurses and clinicians	Deep learning
Cho2020 [20]	Korea	Cardiology	Screening	Nurses and clinicians	Deep learning
Romero-Brufau [43] (2020)	USA	All patients	Screening, prognosis, treatment	Clinicians, outpatient care coordinators	Decision tree
Scheinker [44] (2020)	USA	Chronic kidney disease, diabetes	Screening, prognosis, treatment	Clinicians	Deep learning
Davis [45] (2020)	USA	Radiology	Screening	Clinicians	Deep learning
Petitgand [46] (2020)	Canada	Emergency Dept.	Diagnose	Clinicians	Deep learning
Betriana [47] (2021)	Japan	Mental health	Treatment	Patients (receiver) nurse (controller)	Not specified
Murphree [48] (2021)	USA	Palliative care	Screening	Palliative care team (clinicians)	Gradient Boosting Machine (GBM)