Large language models in medical and healthcare fields: applications, advances, and challenges

D Wang, S Zhang - Artificial Intelligence Review, 2024 - Springer
Large language models (LLMs) are increasingly recognized for their advanced language
capabilities, offering significant assistance in diverse areas like medical communication …

A contemporary review on chatbots, AI-powered virtual conversational agents, ChatGPT: Applications, open challenges and future research directions

A Casheekar, A Lahiri, K Rath, KS Prabhakar… - Computer Science …, 2024 - Elsevier
This review paper offers an in-depth analysis of AI-powered virtual conversational agents,
specifically focusing on OpenAI's ChatGPT. The main contributions of this paper are …

From softmax to nucleusmax: A novel sparse language model for chinese radiology report summarization

S Zhao, Q Li, Y Yang, J Wen, W Luo - ACM Transactions on Asian and …, 2023 - dl.acm.org
The Chinese radiology report summarization is a crucial component in smart healthcare that
employs language models to summarize key findings in radiology reports and communicate …

Reinforcement learning for abstractive question summarization with question-aware semantic rewards

S Yadav, D Gupta, AB Abacha… - arxiv preprint arxiv …, 2021 - arxiv.org
The growth of online consumer health questions has led to the necessity for reliable and
accurate question answering systems. A recent study showed that manual summarization of …

A survey on medical document summarization

R Jain, A Jangra, S Saha, A Jatowt - arxiv preprint arxiv:2212.01669, 2022 - arxiv.org
The internet has had a dramatic effect on the healthcare industry, allowing documents to be
saved, shared, and managed digitally. This has made it easier to locate and share important …

Chq-summ: A dataset for consumer healthcare question summarization

S Yadav, D Gupta, D Demner-Fushman - arxiv preprint arxiv:2206.06581, 2022 - arxiv.org
The quest for seeking health information has swamped the web with consumers' health-
related questions. Generally, consumers use overly descriptive and peripheral information to …

Multi-granularity scenarios understanding network for trajectory prediction

B Yang, J Yang, R Ni, C Yang, X Liu - Complex & Intelligent Systems, 2023 - Springer
Understanding agents' motion behaviors under complex scenes is crucial for intelligent
autonomous moving systems (like delivery robots and self-driving cars). It is challenging duo …

Datlmedqa: A data augmentation and transfer learning based solution for medical question answering

S Zhou, Y Zhang - Applied Sciences, 2021 - mdpi.com
With the outbreak of COVID-19 that has prompted an increased focus on self-care, more and
more people hope to obtain disease knowledge from the Internet. In response to this …

Interactive User Interface for Dialogue Summarization

J Jung, H Seo, S Jung, R Chung, H Ryu… - Proceedings of the 28th …, 2023 - dl.acm.org
Summarization is one of the important tasks of natural language processing used to distill
information. Recently, the sequence-to-sequence method was applied, in a general manner …

A survey for biomedical text summarization: From pre-trained to large language models

Q **e, Z Luo, B Wang, S Ananiadou - arxiv preprint arxiv:2304.08763, 2023 - arxiv.org
The exponential growth of biomedical texts such as biomedical literature and electronic
health records (EHRs), poses a significant challenge for clinicians and researchers to …