Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Background: Data collected in controlled settings typically results in high-quality datasets. Howe...
Accurate and efficient electroencephalography (EEG) analysis is essential for detecting seizures a...
Electronic Health Record (EHR) retrieval plays a pivotal role in various clinical tasks, but its d...
The U.S. allocates nearly 18% of its GDP to healthcare but experiences lower life expectancy and h...
Under-resourced or rural hospitals have limited access to medical specialists and healthcare profe...
Medication adherence is critical for the recovery of adolescents and young adults (AYAs) who have ...
While increasing patients' access to medical documents improves medical care, this benefit is limi...
Objective: To evaluate the accuracy, computational cost and portability of a new Natural Language ...
OBJECTIVE: This study aims to assess the performance of machine learning (ML) techniques in optimisi...
BACKGROUND: Hospital falls are the most prevalent and fatal event in healthcare, posing significant ...
The rapid integration of the Internet of Things (IoT) and Internet of Medical (IoM) devices in the...
Patient length of stay (LoS) is a critical metric for evaluating the efficacy of hospital manageme...
A patient undergoes multiple examinations in each hospital stay, where each provides different fac...
To ensure the quality of care for inpatients in ophthalmic hospitals, address the complex and variab...
Methods to ensure factual accuracy of text generated by large language models (LLM) in clinical me...
The integration of generative AI (GenAI) and large language models (LLMs) in healthcare presents b...
With the rapid advancement of Artificial Intelligence, particularly in Natural Language Processing...
The vast repositories of Electronic Health Records (EHR) and medical claims hold untapped potentia...
Heart Failure (HF) affects millions of Americans and leads to high readmission rates, posing signi...
Effective fall risk assessment is critical for post-stroke patients. The present study proposes a ...
Fall risk prediction among hospitalized patients is a critical aspect of patient safety in clinica...