[HTML][HTML] Medical Artificial Intelligence and Human Values

KH Yu, E Healey, TY Leong, IS Kohane… - New England Journal …, 2024 - Mass Medical Soc
Key Points Medical Artificial Intelligence and Human Values As large language models and
other artificial intelligence models are used more in medicine, ethical dilemmas can arise …

Advancing Multimodal Medical Capabilities of Gemini

L Yang, S Xu, A Sellergren, T Kohlberger… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning

G Zhou, Z Han, S Chen, B Huang, L Zhu… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent studies indicate that large multimodal models (LMMs) are highly robust against
natural distribution shifts, often surpassing previous baselines. Despite this, domain-specific …

MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning

W Shi, R Xu, Y Zhuang, Y Yu, H Wu, C Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
Despite their improved capabilities in generation and reasoning, adapting large language
models (LLMs) to the biomedical domain remains challenging due to their immense size …

A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data

X Wang, G Figueredo, R Li, WE Zhang, W Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Automatic radiology report generation can alleviate the workload for physicians and
minimize regional disparities in medical resources, therefore becoming an important topic in …

The CAP Principle for LLM Serving

P Zeng, Z Ning, J Zhao, W Cui, M Xu, L Guo… - arXiv preprint arXiv …, 2024 - arxiv.org
We survey the large language model (LLM) serving area to understand the intricate
dynamics between cost-efficiency and accuracy, which is magnified by the growing need for …

A 360º View for Large Language Models: Early Detection of Amblyopia in Children using Multi-View Eye Movement Recordings

DP Upadhyaya, AG Shaikh, GB Cakir, K Prantzalos… - medRxiv, 2024 - medrxiv.org
Amblyopia is a neurodevelopmental visual disorder that affects approximately 3-5% of
children globally and it can lead to vision loss if it is not diagnosed and treated early …

Assessing DxGPT: Diagnosing Rare Diseases with Various Large Language Models

J do Olmo, J Logrono, C Mascias, M Martinez, J Isla - medRxiv, 2024 - medrxiv.org
Diagnosing rare diseases is a significant challenge in healthcare, with patients often
experiencing long delays and misdiagnoses. The large number of rare diseases and the …