About this Research Topic
Among the factors identified as negatively affecting AI-supported medical applications are the deskilling of medical personnel, the passive acceptance of computer decisions, security and privacy risks, inaccurate and distorted training data, and the inadequate treatment of uncertainty.
This Research Topic calls for contributions related to the design, testing, and evaluation of artificial intelligence systems aimed to support medical practice. Contributions should discuss the impact of the new methodologies, tools, models, interfaces, etc. on the conduct of medical work, and aim to improve the performance of teams made up of human workers and artificial agents.
Topics of interest include, but are not limited to:
• Methodologies for evaluating clinical performance of AI technology for medical diagnosis and prediction
• Performance Assessment Tools for AI-supported medical teams
• Models for machine learning in medicine
• Data selection criteria for machine learning in medicine
• Human Machine Interfaces for medical systems
• Socio-economic impacts of AI-supported medicine
• Ethical and legal issues of AI-supported medicine
Keywords: work automation, artificial agents, ethical machine learning, medical diagnosis, human machine interfaces
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.