[HTML][HTML] AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges

Y Okada, M Mertens, N Liu, SSW Lam, MEH Ong - Resuscitation plus, 2023 - Elsevier
Aim Artificial intelligence (AI) and machine learning (ML) are important areas of computer
science that have recently attracted attention for their application to medicine. However, as …

Large language models in neurology research and future practice

MF Romano, LC Shih, IC Paschalidis, R Au… - Neurology, 2023 - AAN Enterprises
Recent advancements in generative artificial intelligence, particularly using large language
models (LLMs), are gaining increased public attention. We provide a perspective on the …

Unlocking the potential of large language models in healthcare: navigating the opportunities and challenges

I Tessler, T Yamin, H Peeri, EE Alon… - Future Medicine …, 2024 - Taylor & Francis
This paper explores the emerging role of large language models (LLMs) in healthcare,
offering an analysis of their applications and limitations. Attention mechanisms and …

Unlocking the Black Box? A Comprehensive Exploration of Large Language Models in Rehabilitation

B Bonnechère - American Journal of Physical Medicine & …, 2023 - journals.lww.com
Rehabilitation is a vital component of healthcare, aiming to restore function and improve the
well-being of individuals with disabilities or injuries. Nevertheless, the rehabilitation process …

[PDF][PDF] Classification of Clinical Notes from a Heart Failure Telehealth Network

F Wiesmüller, A Lauschenski… - Studies in Health …, 2023 - diva-portal.org
Heart failure is a common chronic disease which is associated with high re-hospitalization
and mortality rates. Within the telemedicine-assisted transitional care disease management …

GDEMO-HAT: Knowledge-guided Medical Text Classification Using Heterogeneous Graph-based Dependency Modeling with Hierarchical Attention

Y Zhou, H Zeng, H Chen, A Qin, Y Li… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
The medical texts contain rich information about the health status of patients, including
personal demographic details, examination items, diagnostic narratives, and corresponding …

Using Machine Learning to Classify IT Sales Deals by Win-Loss Reasons

AE Bell - 2023 - search.proquest.com
Imagine you are an IT business leader who has just received a monthly performance report
that indicates your company has lost 10% market share to one of your competitors. The first …

[PDF][PDF] The human-machine-human loop of design informatics: Models, algorithms and practices for new energy vehicles

X Lai, J Zou, S Lin, M Li, J Huang, Z Liu, H Fu - researchgate.net
Discovering and accurately translating users' needs for the design are essential for the
automobile industry, especially for the NEVs (new energy vehicles) where users have …