Table 2.

A total of 14 quantitatively extracted topics from the interview transcripts.

Topic name	Topic description	5 most frequent wordsa
AIb in health care	Impact of AI adoption on health outcomes	health care, perspective, health, challenge, learn
Regional challenges	Regulatory challenges for AI implementation in certain regions	germany, company, clinic, regulatory, country
Improving the everyday experience of HCWsc	Integrating AI into routine patient care for the benefit of HCWs	patient, time, nurse, care, day
Employee training	Training HCWs on how the system works and its limitations	system, decision, implement, training, medical
Clinical research	Studying the risks and benefits of AI in clinical settings	algorithm, physician, clinician, study, risk
Future developments	Exploring long-term solutions and regulatory aspects for diagnostic development	solution, term, future stuff, united states
AI in medical imaging	Current AI applications in radiology and medical imaging	image, radiologist, radiology, diagnosis, application
Workflow optimization	Improving institutional workflows and communications with AI	model, question, understand, talking, sense
Performance	Impact of AI on performance and practices	human, data, performance, practice, super
Technical advances	Using technology to facilitate knowledge-based change in medicine	technology, field simply, machine learning, change
Barriers to AI implementation	Logistical and stakeholder challenges in implementing AI	person, situation cost, university, feel
Human-AI interaction	User-centered technology integration to support HCWs	hospital, doctor, environment, person, issue
Industry challenges	Industry challenges in deploying AI systems	process, level, wrong, set, improve
Opportunities	Creating opportunities for data-driven clinical care in specific domains	data, clinical, basically, care, answer

^aThe 10 most frequent words are included in the project repository.

^bAI: artificial intelligence.

^cHCW: health care worker.