How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease?
Krishna B. Soundararajan, Sunyang Fu, Luke A. Carlson, Rebecca A., Smith, David S. Knopman, Hongfang Liu, Yanshan Wang

TL;DR
This paper evaluates the effectiveness of AI models in automatically answering consumer questions about Alzheimer's Disease, aiming to support caregivers and improve access to relevant information.
Contribution
It introduces the first application and assessment of AI models specifically designed to answer Alzheimer's-related consumer questions.
Findings
AI models can generate relevant answers to AD questions
Potential to assist caregivers by providing timely information
Highlights challenges and future directions in AI for health questions
Abstract
Alzheimer's Disease (AD) is the most common type of dementia, comprising 60-80% of cases. There were an estimated 5.8 million Americans living with Alzheimer's dementia in 2019, and this number will almost double every 20 years. The total lifetime cost of care for someone with dementia is estimated to be $350,174 in 2018, 70% of which is associated with family-provided care. Most family caregivers face emotional, financial and physical difficulties. As a medium to relieve this burden, online communities in social media websites such as Twitter, Reddit, and Yahoo! Answers provide potential venues for caregivers to search relevant questions and answers, or post questions and seek answers from other members. However, there are often a limited number of relevant questions and responses to search from, and posted questions are rarely answered immediately. Due to recent advancement in…
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Taxonomy
TopicsTopic Modeling · Natural Language Processing Techniques · Multimodal Machine Learning Applications
