Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Criteria to identify patients who are ready to be liberated from mechanical ventilation (MV) are imp...
Hemodialysis stands as the most prevalent renal replacement therapy globally. Accurately identifying...
This study investigates the effectiveness of inclined double cutoff walls installed beneath hydrauli...
INTRODUCTION: Emergency departments (EDs) are critical for ensuring timely patient care, especially ...
Heart failure (HF) is a complex and heterogeneous syndrome caused by diverse factors, such as atrial...
Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...
In the intensive care unit (ICU), managing traumatic brain injury (TBI) patients presents significan...
Accurate river discharge forecasting is essential for effective water resource management, particula...
This study evaluates the performance of ChatGPT-4o (OpenAI), DeepSeek-v3 (DeepSeek), Gemini 2.0 (Goo...
BACKGROUND: Incorporating initial serum chloride levels as a prognostic indicator in the intensive c...
BACKGROUND: The American Medical Association recommends that electronic health record (EHR) notes, o...
OBJECTIVES: This study developed deep neural network (DNN) models capable of accurately classifying ...
A global technological race is underway to develop increasingly powerful and precise quantum compute...
High-entropy tactics present exceptional promise in advancing the dielectric energy storage of relax...
Zinc-ion batteries (ZIBs) are considered as a cheaper, non-toxic and safer alternative to lithium-io...
BACKGROUND: Hospitals and health care systems may benefit from artificial intelligence (AI) and big ...
Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...
Interestingly, the integration of AI technologies into surgery in the past 5Â years has increased by ...
Recent advances in large language models (LLMs) enable domain-specific question answering using exte...
Pulmonary ground-glass nodules (GGNs) have become a major problem owing to their high frequency, lim...
This study aims to establish and validate prediction models based on novel machine learning (ML) alg...