Artificial intelligence-assisted compressed sensing CINE enhances the workflow of cardiac magnetic resonance in challenging patients

Table 1 Participant demographics

	Male	Female	Total
Participants (%)	42 (47)	47 (53)	89
Patients	26 (43)	34 (57)	60
Volunteers	16 (55)	13 (45)	29
Ethnicity (%)	White	Black	Hispanic	Asian	Total
Participants	68 (76)	15 (18)	1 (1)	5 (5)	89
Patients	46 (77)	13 (21)	1 (2)	0 (0)	60
Volunteers	22 (77)	2 (7)	0 (0)	5 (16)	29
Age (year)	Male	Female	Total
Participants	57.3 (19-83)	59.6 (18-83)	58.4 (18-83)
Patients	62.5 (30-88)	63.0 (18-83)	62.8 (18-83)
Volunteers	48.6 (19-77)	50.8 (24-71)	49.6 (19-77)
BSA (m2)	Male	Female	Total
Participants	2.04 (1.70-2.45)	1.84 (1.31-2.87)	1.93 (1.31-2.87)
Heart rate	Male	Female	Total
Participants	66 (46-113)	67 (47-108)	67 (46-113)
Clinical referral indication	Patients
r/o cardiotoxicity	29
r/o amyloidosis	30
r/o myocarditis	3
r/o cardiomyopathy	17
Arrhythmia	9
Chest pain	9

Data of age, body surface area and heart rate are mean (min-max). BSA: Body surface area.