An overview of diagnostics and therapeutics using large language models

M Malgaroli, D McDuff - Journal of Traumatic Stress, 2024 - Wiley Online Library
There is an acute need for solutions to treat stress and trauma–related sequelae, and there
are well‐documented shortages of qualified human professionals. Artificial intelligence (AI) …

Transforming wearable data into health insights using large language model agents

MA Merrill, A Paruchuri, N Rezaei, G Kovacs… - arxiv preprint arxiv …, 2024 - arxiv.org
Despite the proliferation of wearable health trackers and the importance of sleep and
exercise to health, deriving actionable personalized insights from wearable data remains a …

Contextual ai journaling: Integrating llm and time series behavioral sensing technology to promote self-reflection and well-being using the mindscape app

S Nepal, A Pillai, W Campbell, T Massachi… - Extended Abstracts of …, 2024 - dl.acm.org
MindScape aims to study the benefits of integrating time series behavioral patterns (eg,
conversational engagement, sleep, location) with Large Language Models (LLMs) to create …

[PDF][PDF] Skill but not effort drive GPT overperformance over humans in cognitive reframing of negative scenarios

JZ Li, A Herderich, A Goldenberg - Preprint at https://doi. org/10.31234/osf. io …, 2024 - osf.io
Recent advancements in large language models (LLMs), such as GPT, have led to their
implementation in tasks involving emotional support. However, LLM performance has not …

AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts

M Jiang, YJ Yu, Q Zhao, J Li, C Song, H Qi… - arxiv preprint arxiv …, 2024 - arxiv.org
Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational
thoughts stemming from mental illnesses, but it necessitates precise identification of …

We care: Multimodal depression detection and knowledge infused mental health therapeutic response generation

P Moon, P Bhattacharyya - arxiv preprint arxiv:2406.10561, 2024 - arxiv.org
The detection of depression through non-verbal cues has gained significant attention.
Previous research predominantly centred on identifying depression within the confines of …