[HTML][HTML] A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics
The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …
excitement and concern due to their ability to effectively respond to free-text queries with …
MentaLLaMA: interpretable mental health analysis on social media with large language models
As an integral part of people's daily lives, social media is becoming a rich source for
automatic mental health analysis. As traditional discriminative methods bear poor …
automatic mental health analysis. As traditional discriminative methods bear poor …
Vision–language foundation model for echocardiogram interpretation
The development of robust artificial intelligence models for echocardiography has been
limited by the availability of annotated clinical data. Here, to address this challenge and …
limited by the availability of annotated clinical data. Here, to address this challenge and …
Rethinking large language models in mental health applications
Large Language Models (LLMs) have become valuable assets in mental health, showing
promise in both classification tasks and counseling applications. This paper offers a …
promise in both classification tasks and counseling applications. This paper offers a …
Using large language models to detect outcomes in qualitative studies of adolescent depression
Objective We aim to use large language models (LLMs) to detect mentions of nuanced
psychotherapeutic outcomes and impacts than previously considered in transcripts of …
psychotherapeutic outcomes and impacts than previously considered in transcripts of …
Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media
Early identification of depression is beneficial to public health surveillance and disease
treatment. There are many models that mainly treat the detection as a binary classification …
treatment. There are many models that mainly treat the detection as a binary classification …
AdaCLF: An Adaptive Curriculum Learning Framework for Emotional Support Conversation
Emotional support conversation (ESC) aims to alleviate emotional distress using data-driven
approaches trained on human-generated responses. However, the subjective and open …
approaches trained on human-generated responses. However, the subjective and open …
Pre-training Differentially Private Models with Limited Public Data
The superior performance of large foundation models relies on the use of massive amounts
of high-quality data, which often contain sensitive, private and copyrighted material that …
of high-quality data, which often contain sensitive, private and copyrighted material that …
AI and narrative embeddings detect PTSD following childbirth via birth stories
Free-text analysis using machine learning (ML)-based natural language processing (NLP)
shows promise for diagnosing psychiatric conditions. Chat Generative Pre-trained …
shows promise for diagnosing psychiatric conditions. Chat Generative Pre-trained …
[PDF][PDF] ChatGPT demonstrates potential for identifying psychiatric disorders: application to childbirth-related post-traumatic stress disorder
Free-text analysis using Machine Learning (ML)-based Natural Language Processing (NLP)
shows promise for diagnosing psychiatric conditions. Chat Generative Pre-trained …
shows promise for diagnosing psychiatric conditions. Chat Generative Pre-trained …