Latest AI and machine learning research in product alert for healthcare professionals.
. Nearly one-third of stroke patients develop aphasia. Although the function of classical language a...
Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic chemicals detected ubiquitously ...
The role of data-driven analyses is becoming more prominent in football. These have the potential to...
Randomized controlled trials (RCTs) remain the benchmark for assessing treatment effects but are lim...
BACKGROUND: Gamification involves applying game design elements to non-game contexts. Pharmacy stude...
INTRODUCTION: Endovascular aortic aneurysm repair (EVAR) requires long-term surveillance to detect a...
Burnt area (BA) mapping is crucial for assessing wildfire impact, guiding restoration efforts, and i...
Clozapine is an atypical antipsychotic used for patients with treatment-resistant schizophrenia. Thi...
Bladder cancer (BLCA) is a prevalent urological malignancy that exhibits a high degree of tumor hete...
BACKGROUND: To enhance post-transplantation hepatocellular carcinoma (HCC) recurrence prediction by ...
We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (exc...
Large language models (LLMs) have shown promising capabilities across medical disciplines, yet their...
Diffusion-weighted imaging (DWI) has become a cornerstone of high-resolution rectal MRI, providing c...
While exome and whole genome sequencing have transformed medicine by elucidating the genetic underpi...
In this study, we present enhanced physics-informed neural networks (PINNs), which were designed to ...
In this study, we systematically analyzed the synaptic properties of an MoTe-based transistor and pr...
BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is the preferred palliative treatm...
Neural networks are challenging to apply in domains requiring high reliability due to their black-bo...
BACKGROUND: Organ shortages require prioritizing hepatocellular carcinoma (HCC) patients with the hi...
The activation of dihydrogen by transition-metal monoxide cations (MO) in the gas phase offers valua...
Deep learning (DL) has shown promise in glioma imaging tasks using magnetic resonance imaging (MRI) ...