Recent developments in Artificial Intelligence (AI) have fueled the emergence of human-AI collaboration, a setting where AI is a coequal partner. Especially in clinical decision-making, it has the potential to improve treatment quality by assisting overworked medical professionals. Even though research has started to investigate the utilization of AI for clinical decision-making, its potential benefits do not imply its adoption by medical professionals. While several studies have started to analyze adoption criteria from a technical perspective, research providing a human-centered perspective with a focus on AI's potential for becoming a coequal team member in the decision-making process remains limited. Therefore, in this work, we identify factors for the adoption of human-AI collaboration by conducting a series of semi-structured interviews with experts in the healthcare domain. We identify six relevant adoption factors and highlight existing tensions between them and effective human-AI collaboration.
Adoption, usability and perceived clinical value of a UK AI clinical reference platform (iatroX): a mixed-methods formative evaluation of real-world usage and a 1,223-respondent user survey
"Do I Trust the AI?" Towards Trustworthy AI-Assisted Diagnosis: Understanding User Perception in LLM-Supported Reasoning
School of Information Science and Technology, ShanghaiTech University（上海科技大学信息科学与技术学院）；Shanghai Clinical Research and Trial Center, ShanghaiTech University（上海科技大学上海临床研究试验中心）
A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems
Nova School of Science and Technology, Universidade NOVA de Lisboa（诺瓦科学与技术学院，诺瓦里斯本大学）；Nova School of Business and Economics, Universidade NOVA de Lisboa（诺瓦商学院与经济学院，诺瓦里斯本大学）；Carnegie Mellon University（卡内基梅隆大学）
