[HTML][HTML] AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges
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 …
science that have recently attracted attention for their application to medicine. However, as …
Large language models in neurology research and future practice
Recent advancements in generative artificial intelligence, particularly using large language
models (LLMs), are gaining increased public attention. We provide a perspective on the …
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 …
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 …
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 …
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 …
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 …
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 …
automobile industry, especially for the NEVs (new energy vehicles) where users have …