lightbulb现实痛点医疗风险解释与假设探索帕金森病患者的早期诊断需要频繁就诊,且依赖主观评估。UbiComp '24Modeling Touch-Based Pointing Behavior Through Mobile Games and Detecting Parkinson's Disease
lightbulb现实痛点医疗风险解释与假设探索普通人可能在高风险场景中信任不准确的LLM生成法律建议。CHI '25Objection Overruled! Lay People can Distinguish Large Language Models from Lawyers, but still Favour Advice from an LLM
lightbulb现实痛点医疗风险解释与假设探索帕金森病患者难以稳定驾驶,常面临交通事故风险。CHI '25PANDA: Parkinson's Assistance and Notification Driving Aid
lightbulb现实痛点医疗风险解释与假设探索患者难以有效监测和预测慢性疾病的每日健康状态变化。CHI '25The Voice of Endo: Leveraging Speech for an Intelligent System That Can Forecast Illness Flare-ups
lightbulb现实痛点医疗风险解释与假设探索公众对PRS技术的隐私、心理影响和社会影响感到担忧。CHI '25Human-Precision Medicine Interaction: Public Perceptions of Polygenic Risk Score for Genetic Health Prediction
lightbulb现实痛点医疗风险解释与假设探索医生难以使用现有方法有效预测中风风险,延误治疗。UbiComp '24Optimizing Stroke Detection: An Analysis of Different Feature Selection Methods
lightbulb现实痛点医疗风险解释与假设探索高风险ACL患者被误诊为低风险,导致无法及时得到治疗。UbiComp '24Improving Screening Test Sensitivity for Predicting ACL Re-Rupture Using a Decision Tree Classifier