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@article{171295, author = {Saksham Mishra and Sandeep Kumar Upadhyay and Mrs. Kiran Jain}, title = {A Systematic Review of Human-Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {11}, number = {7}, pages = {4021-4024}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=171295}, abstract = {Artificial Intelligence (AI) is a growing technology. Recently, AI has become popular in many fields like customer support, healthcare, and security. To make AI more user-friendly, scientists are combining it with human-computer interaction (HCI). This helps create smart systems that people can easily interact with. Human-Computer Interaction (HCI) is a field that combines AI and human-computer interaction to create intelligent systems. AI and HCI are used together in many fields using algorithms and providing transparency to users. This article explores the connection between AI and HCI. The goal was to find the intersection point between AI and HCI. Explainable Artificial Intelligence (XAI) is a key point that connects HCI and AI. The study reviewed literature on XAI, its areas, goals, and challenges. The study also focused on using AI, HCI, and XAI in healthcare. The study identified gaps in XAI in healthcare and its future potential. The literature shows that XAI in healthcare is a new area that needs more research in the future.}, keywords = {Artificial intelligence, explainable artificial intelligence, healthcare human -computer interaction, human – centered design, machine learning usability, user – centered design.}, month = {January}, }
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