Utilizing natural language processing and large language models in the diagnosis and prediction of infectious diseases: A Systematic Review
Abstract Background Natural Language Processing (NLP) and Large Language Models
(LLMs) hold largely untapped potential in infectious disease management. This review …
(LLMs) hold largely untapped potential in infectious disease management. This review …
Confronting the disruption of the infectious diseases workforce by artificial intelligence: what this means for us and what we can do about it
BJ Langford, W Branch-Elliman, P Nori… - Open Forum …, 2024 - academic.oup.com
With the rapid advancement of artificial intelligence (AI), the field of infectious diseases (ID)
faces both innovation and disruption. AI and its subfields including machine learning, deep …
faces both innovation and disruption. AI and its subfields including machine learning, deep …
BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMR.
Pediatric Emergency Department (PED) overcrowding presents a significant global
challenge, prompting the need for efficient solutions. This paper introduces the BioBridge …
challenge, prompting the need for efficient solutions. This paper introduces the BioBridge …
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish
Despite the high creation cost, annotated corpora are indispensable for robust natural
language processing systems. In the clinical field, in addition to annotating medical entities …
language processing systems. In the clinical field, in addition to annotating medical entities …
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry
Y Huang, K Tang, M Chen - arXiv preprint arXiv:2404.15777, 2024 - arxiv.org
Since the inception of the Transformer architecture in 2017, Large Language Models (LLMs)
such as GPT and BERT have evolved significantly, impacting various industries with their …
such as GPT and BERT have evolved significantly, impacting various industries with their …
A pediatric emergency prediction model using natural language process in the pediatric emergency department
This study developed a predictive model using deep learning (DL) and natural language
processing (NLP) to identify emergency cases in pediatric emergency departments. It …
processing (NLP) to identify emergency cases in pediatric emergency departments. It …
Model confidence calibration for reliable covid-19 early screening via audio signal analysis
MC Nnamdi, J Ben Tamo, S Stackpole, W Shi… - Proceedings of the 14th …, 2023 - dl.acm.org
Advanced sensors in mobile devices have served as an effective screening tool for COVID-
19 diagnosis, and an alternative to reverse transcription-polymerase chain reaction (rRT …
19 diagnosis, and an alternative to reverse transcription-polymerase chain reaction (rRT …
Adolescent idiopathic scoliosis patient subphenotyping for surgical planning and improved patient outcomes
Adolescent idiopathic scoliosis (AIS) is a complex condition characterized by abnormal
spinal curvature, and surgical intervention is often required to correct the deformity …
spinal curvature, and surgical intervention is often required to correct the deformity …
Rise of the Machines-Artificial Intelligence in Healthcare Epidemiology
Abstract Purpose of Review This article delves into the current applications, challenges, and
future directions of artificial intelligence (AI) in healthcare epidemiology, focusing on its …
future directions of artificial intelligence (AI) in healthcare epidemiology, focusing on its …
Using artificial intelligence in electronic health record systems to mitigate physician burnout: a roadmap
MF Eid - Journal of Healthcare Management, 2024 - journals.lww.com
Physician burnout, a significant problem in modern healthcare, adversely affects healthcare
professionals and their organizations. This essay explores the potential of artificial …
professionals and their organizations. This essay explores the potential of artificial …