New Classification Frame to Understand Human-AI Interactions in Clinical Research

The fact that medical researches are increasingly integrated with artificial intelligence technologies, the need for systematic frameworks to understand and organize these interactions. A new academic study offers a comprehensive multidimensional classification method to category human-AI interactions (HAII) in clinical research.

The main components of the research are:

• AI tasks: Functions and applications of different types of system performed in clinical environments
• Human-AI relations: How human decision makers and artificial intelligence tools interact with each other
• Access configurations: Different workflow and system structures integrated in technology
  -People groups: Various stakeholders such as doctor, nurse, researcher and patients who interact with the system -15 reviews of clinical trial: Detailed analysis of existing applications

The study provides a more holistic perspective by expanding previous condoms. This frame can help clinical research to convey more effective and safe in the artificial intelligence ecosystem that is increasingly complex. As a result, this classification system is a valuable reference point for medical technology developers, researchers and policy makers.