Table 3 Convergent validity and construct reliability

Performance Expectancy (α = 0.82, CR = 0.83)

PE1. The AI-novice echocardiogram will give an accurate risk stratification of my cardiac condition.

0.84

PE2. The AI-novice echocardiogram will enable a more efficient clinic consult

0.82

PE3. I trust the results of the AI-novice echocardiogram.

0.75

PE4. The results of the AI-novice echocardiogram will give me reassurance when it is normal

0.70

PE5. I trust the healthcare staff performing the AI-novice echocardiogram screening on me

0.68

Effort Expectancy (α = 0.75, CR = 0.75)

EE1. It would not take the healthcare staff long to learn how to use AI-novice echocardiogram

0.75

EE2. The AI-novice echocardiogram would be easy to learn

0.83

EE3. It would be easy for the healthcare staff to become skillful at using the AI-novice echocardiogram even when they do not have ultrasound training

0.78

EE4. Performing the AI-novice echocardiogram on me should be easy

0.67

Social Influence (α = 0.89, CR = 0.89)

SI1. People who are important to me think that I should use the AI-novice echocardiogram before clinic visit

0.94

SI2. People whose opinions I value would like me to use the AI-novice echocardiogram

0.94

Facilitating Conditions (α = 0.77, 0.79)

FC1. The healthcare workers have the knowledge necessary to use the AI-novice echocardiogram

0.82

FC2. The AI-novice echocardiogram device is similar to other screening tools such as the electrocardiogram, retinal eye screening etc.

0.79

FC3. The novice has the resources necessary to perform the AI-novice echocardiogram.

0.90

Hedonic Motivation (α = 0.82, CR = 0.84)

HM1. The process of screening via the AI-novice echocardiogram is enjoyable

0.70

HM2 The process of screening via the AI-novice echocardiogram is fun

0.70

Behavioral Intention (α = 0.89, CR = 0.89)

BI1. I intend to be a frequent user of AI-enabled screening devices

0.81

BI2. I intend to continue using AI-screening devices in future

0.81