Human-machine Interaction in the Age of Generative AI
Generative artificial intelligence (Gen-AI) powered technologies are increasingly integrated across virtually all fields, including oncology, poised to fundamentally transform human-machine interaction (HMI). In biomedicine and oncology, Gen-AI tools are forming the foundation for intuitive patient-facing and clinician-facing interfaces that increase accessibility and efficiency of health care applications, enhance patient experience, and improve clinical workflows, ultimately optimizing patient outcomes. Despite Gen-AI's great potential in health care, limitations related to data quality and learning algorithms can create persistent challenges to patient safety, warranting a thorough HMI evaluation by end-users and experts that goes beyond traditional statistical validation. In parallel, a legal framework for assigning liability among developers, deployers, maintainers, and end-users is essential to ensure fairness and promote safe and beneficial application of clinical AI.
Authors
- Dipesh Niraula (ORCID: https://orcid.org/0000-0002-2245-8536)
- Issam El Naqa
- Monique Shotande
Institutions
- Moffitt Cancer Center (US)
Publication Details
- Journal
- The Cancer Journal
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1097/ppo.0000000000000797
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00