ISOQOL 32nd Annual Conference

Conference Theme

Artificial Intelligence & the Future of Quality of Life Research

Scientists worldwide are excited and concerned about the transformation of research with increasing use of artificial intelligence tools. Given ISOQOL’s vision to improve quality of life for people everywhere by creating a future in which their perspective is integral as well as our mission to advance the science of quality of life research, this year’s conference will focus on quality of life research in the context of artificial intelligence tools. Plenary sessions will focus on theory, methods, application, as well as cutting edge research.

Plenary Sessions

AI and the Future of Quality of Life Research
Our field exists to represent people’s experiences. This session will start with level-setting to establish a shared vocabulary for the conference, describing what AI is and how it differs from related concepts like machine learning. It will focus on the theoretical, philosophical, and ethical considerations of when and how artificial intelligences tools are used in quality of life and related patient-centered outcomes research. Benefits (e.g., mining unstructured conservations with AI for quality of life data) and pitfalls (e.g., privacy considerations, loss of patients’ voice) of the use of AI in quality of life research will be identified.

Cutting Edge Research
The Cutting Edge Research plenary session features some of the highest-ranked, innovative research from ISOQOL abstract submissions. In particular, these abstracts reflect research that truly “pushes the ISOQOL envelope” in providing new and different ways to look at quality of life.

Promising AI Tools for Quality of Life Researchers
The methods we use to develop and validate patient-reported outcome measures will evolve with the increasing use of artificial intelligence. This session will present the most promising AI tools for QOL researchers. For example, the use of natural language processing for analysis of qualitative data from concept elicitation interviews, use of generative AI for item development and translation, and use of advanced analytics in quantitative psychometrics or how to validate AI models using psychometric methods.

Use of AI in Quality of Life Research
Artificial intelligence is changing how patient-centered outcomes are captured and interpreted in clinical studies and in clinical practice. This session will explore varied use cases of AI for collecting and interpreting quality of life data from different perspectives such as researchers, regulators, and patients/caregivers. The application of AI for interpretation of meaningful change in quality of life will also be discussed.

Scientific Program Committee Co-Chairs