Latest AI and machine learning research in hematology for healthcare professionals.
The objective of this study was to develop and validate a nomogram for predicting advanced chronic kidney disease (CKD) through the utilization of routine clinical parameters. To achieve this, we integrated internal and external datasets, employed LASSO and logistic regression to identify independent predictors of advanced CKD for nomogram construction, conducted Bootstrap validation on the traini...
BACKGROUND: Artificial intelligence research in orthopedics has grown rapidly, yet a substantial gap remains between technical development and clinical translation. This narrative review summarizes current applications of artificial intelligence in orthopedic practice and highlights barriers to implementation. MAIN BODY: Current work converges on three domains: machine learning for structured peri...
OBJECTIVES: Iron chelation therapy titration is managed by hematologists who monitor iron levels and adjust medication dosages to achieve patient outc...
BACKGROUND: Frailty is a significant health concern associated with diminished physiological reserves and increased healthcare burdens. Currently, eff...
BACKGROUND: Microscopic, immunologic, and chemical testing play a major role in the diagnostic process of hematologic cancer patients. Pathologists re...
BACKGROUND: Despite low-molecular-weight heparin (LMWH) prophylaxis, the incidence of deep vein thrombosis (DVT) remains high in intensive care unit (...
Introduction: Ischemic stroke is a leading cause of mortality, and patients requiring intensive care unit (ICU) admission carry a guarded prognosis. W...
Sequence-based deep learning models have become the state of the art for analyzing the genomic regulatory code. Particularly for enhancers, these mode...
Early detection of lung cancer remains challenging due to limitations of current methods. We developed LCPBert, a deep learning framework leveraging p...
PURPOSE: Exosome-surface enhanced Raman spectroscopy-artificial intelligence platform (exosome-SERS-AI) is an innovative liquid biopsy method that acq...
The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the development of nucleic acid-based therapeutics, particular...
BACKGROUND: Heart rate variability (HRV) derived from electrocardiogram (ECG) signals offers a promising non-invasive window into glycemic status; how...
Fluid overload (FO) is a critical complication in acute pancreatitis (AP), contributing to prolonged hospital stays and increased mortality. Tradition...
BACKGROUND: Acute pancreatitis (AP), a common acute abdominal disease, has a high mortality rate in severe cases. Accurate mortality prediction is cru...
Modern intrapartum fetal health assessments are currently limited to monitoring heart rate and spatial parameters, neglecting critical biomarkers that...
OBJECTIVE: To stratify the risk of bacteremia at the time of emergency department (ED) admission in patients with hematologic malignancies. To this en...
PURPOSE: This study evaluates Large Language Models (LLMs) integrated with Retrieval-Augmented Generation (RAG) frameworks for generating accurate, gu...
Cardiac arrhythmia is increasingly encountered in patients with cancer, not only as a result of shared risk factors but also as a direct consequence o...
Early identification and prevention of persistent acute kidney injury (pAKI) remain challenging due to delayed biochemical markers and limited tools t...