Transformers in healthcare: A survey
With Artificial Intelligence (AI) increasingly permeating various aspects of society, including
healthcare, the adoption of the Transformers neural network architecture is rapidly changing …
healthcare, the adoption of the Transformers neural network architecture is rapidly changing …
Thinking about gpt-3 in-context learning for biomedical ie? think again
The strong few-shot in-context learning capability of large pre-trained language models
(PLMs) such as GPT-3 is highly appealing for application domains such as biomedicine …
(PLMs) such as GPT-3 is highly appealing for application domains such as biomedicine …
Large language models in medical and healthcare fields: applications, advances, and challenges
D Wang, S Zhang - Artificial Intelligence Review, 2024 - Springer
Large language models (LLMs) are increasingly recognized for their advanced language
capabilities, offering significant assistance in diverse areas like medical communication …
capabilities, offering significant assistance in diverse areas like medical communication …
[HTML][HTML] Extensive evaluation of transformer-based architectures for adverse drug events extraction
Abstract Adverse Drug Event (ADE) extraction is one of the core tasks in digital
pharmacovigilance, especially when applied to informal texts. This task has been addressed …
pharmacovigilance, especially when applied to informal texts. This task has been addressed …
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
User-generated data sources have gained significance in uncovering Adverse Drug
Reactions (ADRs), with an increasing number of discussions occurring in the digital world …
Reactions (ADRs), with an increasing number of discussions occurring in the digital world …
Perceptional and actional enrichment for metaphor detection with sensorimotor norms
Understanding the nature of meaning and its extensions (with metaphor as one typical kind)
has been one core issue in figurative language study since Aristotle's time. This research …
has been one core issue in figurative language study since Aristotle's time. This research …
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
In this work, we present the first corpus for German Adverse Drug Reaction (ADR) detection
in patient-generated content. The data consists of 4,169 binary annotated documents from a …
in patient-generated content. The data consists of 4,169 binary annotated documents from a …
Transformers and large language models in healthcare: A review
Abstract With Artificial Intelligence (AI) increasingly permeating various aspects of society,
including healthcare, the adoption of the Transformers neural network architecture is rapidly …
including healthcare, the adoption of the Transformers neural network architecture is rapidly …
Kesdt: knowledge enhanced shallow and deep transformer for detecting adverse drug reactions
Adverse drug reaction (ADR) detection is an essential task in the medical field, as ADRs
have a gravely detrimental impact on patients' health and the healthcare system. Due to a …
have a gravely detrimental impact on patients' health and the healthcare system. Due to a …
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction
Objective. Active adverse event surveillance monitors Adverse Drug Events (ADE) from
different data sources, such as electronic health records, medical literature, social media …
different data sources, such as electronic health records, medical literature, social media …