Latest AI and machine learning research in product alert for healthcare professionals.
OBJECTIVE: Previous studies have shown that excess weight (including obesity and overweight) can inc...
The combination of machine learning (ML) and electronic health records (EHR) data may be able to imp...
5-Fluorouracil (5FU) and FeO nanoparticles were encapsulated in core-shell polycaprolactone (PCL)/c...
BACKGROUND AND OBJECTIVE: Explainable Artificial Intelligence (XAI) has been identified as a viable ...
We aimed to assess whether early exposure of medical students to robotic surgery training influences...
The purpose of this study is to investigate the robustness of a commonly used convolutional neural n...
OBJECTIVE: The aim of this study was to evaluate an automatic, deep learning based method (Augmented...
Machine learning algorithms are increasingly used in the clinical literature, claiming advantages ov...
Gadolinium-enhancing lesions reflect active disease and are critical for in-patient monitoring in mu...
Despite progressive improvements over the decades, the rich temporally resolved data in an echocardi...
Efficient, reliable and reproducible target volume delineation is a key step in the effective planni...
Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantifi...
Postoperative mammograms present interpretive challenges due to postoperative distortion and hemato...
In this paper, we propose a novel method named Biomedical Confident Itemsets Explanation (BioCIE), a...
Although deep learning (DL) technique has been successfully used for computed tomography (CT) recons...
In this work, we develop a deep learning-guided fiberoptic Raman diagnostic platform to assess its a...
The growing interest in deep learning approaches to video surveillance raises concerns about the acc...
Cryo-EM maps are valuable sources of information for protein structure modeling. However, due to the...
In this study, algorithms to detect post-falls were evaluated using the cross-dataset according to f...
The discovery and development of new medicines is expensive, time-consuming, and often inefficient, ...
Building-damage mapping using remote sensing images plays a critical role in providing quick and acc...