Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BackgroundAs health education robots may potentially become a significant support force in nursing p...
BACKGROUND: Early readmission and death are critical adverse outcomes following hospitalisation due ...
BACKGROUND: Nurses face an escalating workload, including tasks not directly related to patient care...
Non-muscle-invasive bladder cancer (NMIBC) is a relentless challenge in oncology, with recurrence ...
Clinical summarization is crucial in healthcare as it distills complex medical data into digestibl...
Study Objective: To analyze the factors influencing Emergency Department (ED) overcrowding by exam...
Length of hospital stay is a critical metric for assessing healthcare quality and optimizing hospi...
Accurate prediction of lithium-ion battery lifespan is vital for ensuring operational reliability ...
Clinical language models have achieved strong performance on downstream tasks by pretraining on do...
Background and Objectives: Multidrug Resistance (MDR) is a critical global health issue, causing i...
Ordering a minimal subset of lab tests for patients in the intensive care unit (ICU) can be challe...
The aim is to create a method for accurately estimating the duration of post-cancer treatment, par...
A scalable and reliable system is required to analyze the National Health and Nutrition Examinatio...
Battery degradation is a major challenge in electric vehicles (EV) and energy storage systems (ESS...
There is a long history of building predictive models in healthcare using tabular data from electr...
Clinical case reports and discharge summaries may be the most complete and accurate summarization ...
While deep neural networks (DNNs) are widely used for prediction, inference on DNN-estimated subje...
The temporal complexity of electronic health record (EHR) data presents significant challenges for...
Accurate prediction of Length of Stay (LOS) in hospitals is crucial for improving healthcare servi...
Aim: This study aims to enhance interpretability and explainability of multi-modal prediction mode...
Multimodal artificial intelligence (AI) integrates diverse types of data via machine learning to i...