Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Hepato-pancreato-biliary (HPB) disorders represent a global public health challenge due to their h...
Objective: Heart failure (HF) patients present with diverse phenotypes affecting treatment and pro...
Lung cancer remains the leading cause of cancer-related deaths globally. Over the past decade, the d...
Multimodal large language models (MLLMs) have demonstrated promising prospects in healthcare, part...
Large language models (LLMs) have been extensively evaluated on medical question answering tasks b...
Traditional methods of surgical decision making heavily rely on human experience and prompt action...
BACKGROUND: Acute pancreatitis (AP) represents a critical medical condition where timely and precise...
In recent years, the fusion of the medical and computer science domains has gained significant tract...
The quantitative research on acupuncture manipulation techniques aims to transform traditional empir...
The prediction of in-hospital mortality in cancer patients with acute pulmonary embolism (APE) remai...
Transitional care may play a vital role in the sustainability of Europe's future healthcare system, ...
Septic shock exhibits diverse etiologies and patient characteristics, necessitating tailored fluid m...
Aplastic anemia is a rare, life-threatening hematologic disorder characterized by pancytopenia and...
Intensive care unit (ICU) is a crucial hospital department that handles life-threatening cases. No...
Conventional machine learning models, particularly tree-based approaches, have demonstrated promis...
The incidence of hypotension after a lumbosacral epidural in dogs depends on the volume of local ana...
While bariatric and metabolic surgery (MBS) is considered the gold standard treatment for severe a...
This study aims to describe implementing a SNOMED CT-coded health problem (HP) list at Hospital Clín...
Smart contact lenses are at the forefront of integrating microelectronics, biomedical engineering,...
The objective of this study was to develop a machine learning model utilizing data from the electron...
This study develops deep learning models to forecast the number of patients in the emergency depar...