AI is increasingly implemented in medical imaging and oncology. AI implementation is governed by many factors related to clinical priorities, technical coordination, organizational aspects, societal context, and professional agendas. Understanding the interplay between these factors will help coordinate AI implementation for the benefit of patients, practitioners, organizations, and society.

The goal of this Research Topic is to understand how these different AI implementation factors relating to technology, infrastructure, workflows, professional identities, human factors and human and AI interaction specific to medical imaging and oncology are impacted by different enablers and challenges and reveal new opportunities. Additionally, this collection focuses on recognizing how to move AI implementation forward despite challenges and because of some opportunities unique to this ecosystem. Lastly, we want to highlight the importance of multidisciplinary collaboration and effective communication to unite key stakeholders, ensuring successful and safe AI integration in medical imaging and oncology.

This Research Topic welcomes all article types accepted by the journal Frontiers in Digital Health. Suitable themes for manuscripts include (but are not limited to):

• clinical AI implementation studies in clinical settings involving patients (and benefits, challenges, opportunities arising from them);
• surveys and methodological studies relating to different topics relevant to AI implementation (AI acceptability, practitioner and patient perspectives, AI governance, AI education, trust in AI, explainability, sustainability, economic evaluation, impact on professional careers, identity, leadership, workflows, human factors);
• systematic reviews on any of the above topics or related topics.

We are open to consider other ideas too, if they are relevant to this topic (AI implementation) and context (medical imaging and oncology).

Are you interested in contributing a manuscript to this Research Topic?

AI implementation in Medical Imaging and Oncology: Understanding the Complex Clinical, Technological, Ethical, Societal, Professional and Organizational Factors that Have an Impact