Zhongliang Liu

Second Affiliated Hospital of Jilin University

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About

Zhongliang Liu is a researcher at the intersection of neuropsychology and artificial intelligence, with a primary focus on the reliability and validity of computerized cognitive assessments in clinical populations. His work critically examines how digital tools can be integrated into stroke rehabilitation, particularly for evaluating cognitive impairment. Liu’s most cited study, a 2023 systematic review titled "Can we trust computers to assess the cognition of stroke patients?", systematically categorized computerized cognitive assessment (CCA) tools, highlighting both their promise—such as scalability and objectivity—and their limitations, including issues of ecological validity and algorithmic bias. This review, which has garnered early attention with four citations, provides a crucial roadmap for future research, urging caution in the wholesale adoption of AI-driven diagnostics without rigorous validation. By bridging clinical neuroscience and human-computer interaction, Liu’s contributions are shaping how clinicians and engineers design trustworthy assessment technologies for vulnerable populations. His work underscores a growing need for interdisciplinary scrutiny in digital health, making him a key voice in the responsible deployment of AI in medicine.