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Long-term life task planning is inherently complex and uncertain, yet little is known about how emerging AI systems support this process. This study investigates how people use ChatGPT for such planning tasks, focusing on user practices,…

人机交互 · 计算机科学 2025-12-15 Ben Wang , Jiqun Liu

Automated coaching messages for weight control can save time and costs, but their repetitive, generic nature may limit their effectiveness compared to human coaching. Large language model (LLM) based artificial intelligence (AI) chatbots,…

计算与语言 · 计算机科学 2025-02-25 Zhuoran Huang , Michael P. Berry , Christina Chwyl , Gary Hsieh , Jing Wei , Evan M. Forman

Academic advances of AI models in high-precision domains, like healthcare, need to be made explainable in order to enhance real-world adoption. Our past studies and ongoing interactions indicate that medical experts can use AI systems with…

Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently available AI systems do not interact with a patient, e.g., for anamnesis, and thus are only used by the physicians for predictions in diagnosis or…

计算机与社会 · 计算机科学 2019-08-29 Sebastian Spänig , Agnes Emberger-Klein , Jan-Peter Sowa , Ali Canbay , Klaus Menrad , Dominik Heider

Diabetes mellitus is a disease that affects to hundreds of millions of people worldwide. Maintaining a good control of the disease is critical to avoid severe long-term complications. In recent years, several artificial pancreas systems…

Large language models such as ChatGPT are increasingly explored in medical domains. However, the absence of standard guidelines for performance evaluation has led to methodological inconsistencies. This study aims to summarize the available…

统计方法学 · 统计学 2024-03-12 Qiuhong Wei , Zhengxiong Yao , Ying Cui , Bo Wei , Zhezhen Jin , Ximing Xu

Prediction of diabetes and its various complications has been studied in a number of settings, but a comprehensive overview of problem setting for diabetes prediction and care management has not been addressed in the literature. In this…

We present an outline of the first large language model (LLM) based chatbot application in the context of patient-reported outcome measures (PROMs) for diabetic retinopathy. By utilizing the capabilities of current LLMs, we enable patients…

计算与语言 · 计算机科学 2024-11-06 Maren Pielka , Tobias Schneider , Jan Terheyden , Rafet Sifa

Artificial intelligence is gaining traction in more ways than ever before. The popularity of language models and AI-based businesses has soared since ChatGPT was made available to the general public via OpenAI. It is becoming increasingly…

计算机与社会 · 计算机科学 2023-07-31 Prabin Sharma , Kisan Thapa , Dikshya Thapa , Prastab Dhakal , Mala Deep Upadhaya , Santosh Adhikari , Salik Ram Khanal

Blood glucose simulation allows the effectiveness of type 1 diabetes (T1D) management strategies to be evaluated without patient harm. Deep learning algorithms provide a promising avenue for extending simulator capabilities; however, these…

机器学习 · 计算机科学 2023-10-24 Harry Emerson , Ryan McConville , Matthew Guy

Addressing the global challenge of breast cancer, this research explores the fusion of generative AI, focusing on ChatGPT 3.5 turbo model, and the intricacies of breast cancer risk assessment. The research aims to evaluate ChatGPT's…

计算与语言 · 计算机科学 2024-06-04 Yousef Khan , Ahmed Abdeen Hamed

This study evaluates the effectiveness of ChatGPT, an advanced AI model for natural language processing, in identifying targeting and inappropriate language in online comments. With the increasing challenge of moderating vast volumes of…

计算与语言 · 计算机科学 2025-05-29 Barbarestani Baran , Maks Isa , Vossen Piek

Older adults commonly experience chronic conditions such as pain and sleep disturbances and may consider cannabidiol for symptom management. Safe use requires appropriate dosing, careful titration, and awareness of drug interactions, yet…

信息检索 · 计算机科学 2026-04-14 Ali Abedi , Charlene H. Chu , Shehroz S. Khan

Diabetes is a major public health problem in the United States, affecting roughly 30 million people. Diabetes complications, along with the mental health comorbidities that often co-occur with them, are major drivers of high healthcare…

定量方法 · 定量生物学 2019-09-19 Casey C. Bennett

Recommendation systems have witnessed significant advancements and have been widely used over the past decades. However, most traditional recommendation methods are task-specific and therefore lack efficient generalization ability.…

信息检索 · 计算机科学 2023-10-30 Junling Liu , Chao Liu , Peilin Zhou , Renjie Lv , Kang Zhou , Yan Zhang

ChatGPT explores a strategic blueprint of question answering (QA) in delivering medical diagnosis, treatment recommendations, and other healthcare support. This is achieved through the increasing incorporation of medical domain data via…

计算与语言 · 计算机科学 2024-01-23 Qing Li , Lei Li , Yu Li

Diabetes mellitus is a common disease of human body caused by a group of metabolic disorders where the sugar levels over a prolonged period is very high. It affects different organs of the human body which thus harm a large number of the…

机器学习 · 计算机科学 2019-02-27 Md. Faisal Faruque , Asaduzzaman , Iqbal H. Sarker

Artificial intelligence (AI) has the potential to revolutionize the drug discovery process, offering improved efficiency, accuracy, and speed. However, the successful application of AI is dependent on the availability of high-quality data,…

Recent advances in large language models (LLMs) have shown impressive ability in biomedical question-answering, but have not been adequately investigated for more specific biomedical applications. This study investigates the performance of…

计算与语言 · 计算机科学 2024-03-29 Shan Chen , Yingya Li , Sheng Lu , Hoang Van , Hugo JWL Aerts , Guergana K. Savova , Danielle S. Bitterman

Large language models have been useful in expanding mental health care delivery. ChatGPT, in particular, has gained popularity for its ability to generate human-like dialogue. However, data-sensitive domains -- including but not limited to…

计算与语言 · 计算机科学 2023-06-12 Anaelia Ovalle , Mehrab Beikzadeh , Parshan Teimouri , Kai-Wei Chang , Majid Sarrafzadeh