Andrew Lim

schoolSunnybrook Health Sciences Centrebar_chart#4991 Global Rank

Total Papers

HCI Rank

#4991

Research Areas

Years Active

Recent Publications

Ambiguity-aware AI Assistants for Medical Data Analysis

Artificial intelligence (AI) assistants for clinical decision making show increasing promise in medicine. However, medical assessments can be contentious, leading to expert disagreement. This raises the question of how AI assistants should be designed to handle the classification of ambiguous cases. Our study compared…

CSCW '194th AuthorExpert Work

Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication

Expert disagreement is pervasive in clinical decision making and collective adjudication is a useful approach for resolving divergent assessments. Prior work shows that expert disagreement can arise due to diverse factors including expert background, the quality and presentation of data, and guideline clarity. In this…

CSCW '184th AuthorClassification and Labels

MechanicalHeart: A Human-Machine Framework for the Classification of Phonocardiograms

Listening to heart sounds is an important first step in evaluating the cardiovascular system and is important in the early detection of cardiovascular disease. We present and evaluate a framework for combining machine learning algorithms, crowd workers, and experts in the classification of heart sound recordings. The…

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