Page 128 - AIH-2-2

Artificial Intelligence in Health Transgender healthcare

fit for the use of AI in improving medical tourism and The potential of AI in medical tourism is supported by
travel services. These findings indicate a higher impact the discriminant validity of the outer model’s collinearity
on medical travel and tourism when higher-quality AI statistics, demonstrating significant value for the healthcare
tools are employed. sector. Smart medical procedures and increased efficiency
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The conclusions of the data analysis as depicted in in healthcare delivery, patient management, and resource
Table 4 show how AI contributes to the advancement of the utilization will drive advancements in the medical tourism
AI-based health system. This makes it simpler for people industry. The results of this study show that recognizing
to get medical treatments online and reduces dangers in patterns and trends in AI can benefit both transgender
the medical travel and tourism sector. Key aspects, such individuals and healthcare providers by automating tasks
as medical tourism, AI systems, medical travel and risk with AI support. Smart medical procedures and increased
factors, attitude, behavioral intention, and destination efficiency in healthcare delivery, patient management,
image are highlighted along with their implications. These and resource allocation will drive advancements in the
findings also demonstrate how cultural variations may industry. The results of this study show that recognizing
potentially lower the risks associated with using AI tools patterns and trends in AI can benefit both transgender
and instruments in healthcare. individuals and healthcare providers by automating tasks

Table 2. Correlation values among various variables of medical tourism
Variables Medical tourism AI system Medical travel and Attitude Behavioral Destination
risk factors intention image
Medical tourism 1.000 0.533 0.498 0.971 0.564 0.549
AI system 0.533 1.000 0.520 0.525 0.422 0.706
Medical travel and risk factors 0.498 0.520 1.000 0.520 0.572 0.578
Attitude 0.971 0.525 0.520 1.000 0.603 0.573
Behavioral intention 0.564 0.422 0.572 0.603 1.000 0.407
Destination image 0.549 0.706 0.578 0.573 0.407 1.000
Abbreviation: AI: Artificial intelligence.

Table 3. Cronbach Reliability
Variables Cronbach's alpha Composite Composite The average variance
reliability (rho_a) reliability (rho_c) extracted (AVE)
Medical tourism 0.791 0.796 0.857 0.547
AI system 0.810 0.814 0.863 0.514
Medical travel and risk factors 0.731 0.742 0.810 0.583
Attitude 0.839 0.844 0.879 0.512
Behavioral intention 0.788 0.742 0.840 0.584
Destination image 0.878 0.879 0.905 0.578
Abbreviation: AI: Artificial intelligence.

Table 4. Discriminant validity assessment using HTMT for various variables of medical tourism
Variables Medical AI Medical travel and Attitude Behavioral Destination
tourism system risk factors intention image
Medical tourism - - - - - -
AI system 0.653 - - - - -
Medical travel and risk factors 0.639 0.657 - - - -
Attitude 0.592 0.626 0.651 - - -
Behavioral intention 0.693 0.571 0.801 0.672 - -
Destination image 0.654 0.835 0.706 0.667 0.489 0.531
Abbreviations: AI: Artificial intelligence; HTMT: Heterotrait-monotrait ratio.

Volume 2 Issue 2 (2025) 122 doi: 10.36922/aih.3384