Sunnybrook Health Sciences Centre

account_balanceOtherbar_chart#661 Global Rank

Total Papers

HCI Rank

#661

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Years Active

Recent Publications

Latest papers from Sunnybrook Health Sciences Centre

CHI '24Chronic Disease Self-Management (Diabetes, Hypertension, etc.) +2

Promoting Engagement in Remote Patient Monitoring Using Asynchronous Messaging

Remote patient monitoring is becoming increasingly instrumental to healthcare delivery but can substantially hamper the interpersonal communication that underlies standard clinical practice. In this work, we explore the benefits imparted to patients, clinicians, and researchers by an asynchronous messaging feature wit…

UBICOMP '23Telemedicine & Remote Patient Monitoring +1

PulmoListener: Continuous Acoustic Monitoring of Chronic Obstructive Pulmonary Disease in the Wild

"Prior work has shown the utility of acoustic analysis in controlled settings for assessing chronic obstructive pulmonary disease (COPD) --- one of the most common respiratory diseases that impacts millions of people worldwide. However, such assessments require active user input and may not represent the true characte…

CHI '20Explainable AI (XAI) +1

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 '19Expert 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 '18Classification 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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At a Glance

Institution Snapshot

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Sunnybrook Health Sciences Centre

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Location

Canada · North America

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Overall Rank

#661

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Total Papers

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Active Years

2018-2024

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2 researchers · 0 collaborators

Research Profile

Top Research Directions

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Health, Healthcare & Wellbeing

Telemedicine & Remote Patient Monitoring

Wearables & Sensing Technology

Biosensors & Physiological Monitoring

AI & Machine Learning Interaction

Explainable AI (XAI)

Data Visualization & Information Design

Medical & Scientific Data Visualization