Large language models illuminate a progressive pathway to artificial healthcare assistant: A review
With the rapid development of artificial intelligence, large language models (LLMs) have
shown promising capabilities in mimicking human-level language comprehension and …
shown promising capabilities in mimicking human-level language comprehension and …
User modeling in the era of large language models: Current research and future directions
User modeling (UM) aims to discover patterns or learn representations from user data about
the characteristics of a specific user, such as profile, preference, and personality. The user …
the characteristics of a specific user, such as profile, preference, and personality. The user …
Health-llm: Large language models for health prediction via wearable sensor data
Large language models (LLMs) are capable of many natural language tasks, yet they are far
from perfect. In health applications, grounding and interpreting domain-specific and non …
from perfect. In health applications, grounding and interpreting domain-specific and non …
The first step is the hardest: Pitfalls of representing and tokenizing temporal data for large language models
Large Language Models (LLMs) have demonstrated remarkable generalization across
diverse tasks, leading individuals to increasingly use them as personal assistants and …
diverse tasks, leading individuals to increasingly use them as personal assistants and …
Advancing multimodal medical capabilities of Gemini
Many clinical tasks require an understanding of specialized data, such as medical images
and genomics, which is not typically found in general-purpose large multimodal models …
and genomics, which is not typically found in general-purpose large multimodal models …
Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
P Chung, CT Fong, AM Walters, N Aghaeepour… - JAMA …, 2024 - jamanetwork.com
Importance General-domain large language models may be able to perform risk stratification
and predict postoperative outcome measures using a description of the procedure and a …
and predict postoperative outcome measures using a description of the procedure and a …
LLM-assisted multi-teacher continual learning for visual question answering in robotic surgery
Visual question answering (VQA) can be fundamentally crucial for promoting robotic-
assisted surgical education. In practice, the needs of trainees are constantly evolving, such …
assisted surgical education. In practice, the needs of trainees are constantly evolving, such …
[HTML][HTML] Large language models (LLMs) on tabular data: Prediction, generation, and understanding-a survey
Recent breakthroughs in large language modeling have facilitated rigorous exploration of
their application in diverse tasks related to tabular data modeling, such as prediction, tabular …
their application in diverse tasks related to tabular data modeling, such as prediction, tabular …
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data
Traditional human-in-the-loop-based annotation for time-series data like inertial data often
requires access to alternate modalities like video or audio from the environment. These …
requires access to alternate modalities like video or audio from the environment. These …
HeAR--Health Acoustic Representations
Health acoustic sounds such as coughs and breaths are known to contain useful health
signals with significant potential for monitoring health and disease, yet are underexplored in …
signals with significant potential for monitoring health and disease, yet are underexplored in …