Latest AI and machine learning research in intensivists for healthcare professionals.
Radiotherapy is the cornerstone of treatment for cervical cancer, yet the variability of patient res...
In the realm of artificial intelligence (AI), recomposing the semantic segments of intricate scenes ...
Silk-reinforced composites (SRCs) manifest the unique properties of silkworm silk fibers, offering e...
Sepsis is an infection-induced dysregulated cellular response that leads to multiorgan dysfunction....
Sepsis is a common and serious condition, where mitochondria and macrophage polarization play a cru...
OBJECTIVE: The aim of our study was to establish and validate a machine learning-based predictive mo...
BACKGROUND: Recent development in AI-driven predictive analytics have demonstrated potential to enha...
As the aging population in the United States grows, the need for an integrated approach to support o...
Understanding protein functions facilitates the identification of the underlying causes of many dise...
Deep learning-based electrocardiogram (ECG) classification has shown impressive performance but clin...
BACKGROUND: Septic cardiomyopathy (SCM) is a prevalent complication of sepsis and a primary contribu...
A reinforcement learning (RL) method based on the multi-head self-attention (MSA) mechanism is propo...
: Sepsis leads to substantial global health burdens in terms of morbidity and mortality and is assoc...
Accurate preoperative prediction of biochemical recurrence (BCR) in prostate cancer (PCa) is essenti...
Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication of sepsis, charact...
Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder that affects people's social ...
Accurate and fully automated pancreas segmentation is critical for advancing imaging biomarkers in e...
BACKGROUND: Acute upper gastrointestinal bleeding (AUGIB) is one of the most common critical disease...
Sparse-view CT reconstruction is a challenging ill-posed inverse problem, where insufficient project...
To develop and validate an explainable machine learning (ML) tool to help clinicians predict the ris...
Acetochlor and butachlor, widely used herbicides, pose environmental and health risks through water ...