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 …
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
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 …
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
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 …
employs language models to summarize key findings in radiology reports and communicate …
Reinforcement learning for abstractive question summarization with question-aware semantic rewards
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 …
accurate question answering systems. A recent study showed that manual summarization of …
A survey on medical document summarization
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 …
saved, shared, and managed digitally. This has made it easier to locate and share important …
Chq-summ: A dataset for consumer healthcare question summarization
The quest for seeking health information has swamped the web with consumers' health-
related questions. Generally, consumers use overly descriptive and peripheral information to …
related questions. Generally, consumers use overly descriptive and peripheral information to …
Multi-granularity scenarios understanding network for trajectory prediction
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 …
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
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 …
more people hope to obtain disease knowledge from the Internet. In response to this …
Interactive User Interface for Dialogue Summarization
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 …
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
The exponential growth of biomedical texts such as biomedical literature and electronic
health records (EHRs), poses a significant challenge for clinicians and researchers to …
health records (EHRs), poses a significant challenge for clinicians and researchers to …