Latest AI and machine learning research in product alert for healthcare professionals.
This paper proposes a learnable line encoding technique for bounding boxes commonly used in the obje...
Early detection and management of adverse drug reactions (ADRs) is crucial for improving patients' q...
There is broad consensus that to improve the treatment of adult Attention-Deficit/Hyperactivity Diso...
INTRODUCTION: Urinary incontinence after radical prostatectomy (RP) is an adverse event with high im...
We present a 3D deep learning framework that can generate a complete cranial model using a defective...
Drug-drug interactions (DDIs) aim at describing the effect relations produced by a combination of tw...
BACKGROUND AND AIMS: Hysterectomy, probably the most common non-pregnancy related surgery performed ...
Effective wide-scale pharmacovigilance calls for accurate named entity recognition (NER) of medicati...
Global competition among businesses imposes a more effective and low-cost supply chain allowing firm...
Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft ...
Automated brain tumour segmentation from post-operative images is a clinically relevant yet challeng...
: Exoskeleton-robot-assisted therapy is known to positively affect the recovery of arm functions in ...
Refined understanding of the association of retinal microstructure with current and future (post-tre...
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 ...
Gadolinium-enhancing lesions reflect active disease and are critical for in-patient monitoring in mu...
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...