Latest AI and machine learning research in critical care for healthcare professionals.
Heart failure (HF) ranks among the foremost causes of mortality globally, exhibiting particularly h...
This paper discusses ethics-based strategies for mitigating bias in machine learning models used to ...
Following the successful hosts of the 1-st (NLPCC 2023 Foshan) CMIVQA and the 2-rd (NLPCC 2024 Han...
There is a lack of effective means for precise drug delivery of gastrointestinal diseases. Herein we...
Patients with intracerebral hemorrhage (ICH) are highly susceptible to sepsis. This study evaluates ...
Heating, Ventilation, and Air Conditioning (HVAC) systems account for approximately 38% of buildin...
OBJECTIVE: Accurate total hemoglobin concentration (ctHb) measurement is critical for clinical decis...
BACKGROUND: The prediction of mortality for elderly patients undergoing non-cardiac surgeries is a v...
Unplanned admissions for worsening heart failure (WHF) are the largest resource cost in heart failur...
This study presents an unsupervised, motion-resolved reconstruction framework for high-resolution,...
Smart rings offer a convenient way to continuously and unobtrusively monitor cardiovascular physio...
Auscultation remains a cornerstone of clinical practice, essential for both initial evaluation and...
Heating, Ventilation, and Air Conditioning (HVAC) systems are essential for maintaining indoor env...
Standardised tests using short answer questions (SAQs) are common in postgraduate education. Large...
Although large language models (LLMs) have demonstrated impressive reasoning capabilities across g...
The dynamic nature of human health and comfort calls for adaptive systems that respond to individu...
Background and objective The diagnosis of periprosthetic joint infection (PJI) relies on established...
Introduction and aim Large language models (LLMs) are transforming medical education by offering inn...
Representation bias in health data can lead to unfair decisions and compromise the generalisability ...
Purpose To assess the prognostic value of an open-source deep learning-based chest radiographs algor...
Background Forced vital capacity (FVC) is a standard measure of respiratory function in patients wit...