Latest AI and machine learning research in product alert for healthcare professionals.
Image processing plays a crucial role in maximising diagnostic quality of positron emission tomography (PET) images. Recently, deep learning methods developed across many fields have shown tremendous potential when applied to medical image enhancement, resulting in a rich and rapidly advancing literature surrounding this subject. This review encapsulates methods for integrating deep learning into ...
INTRODUCTION: Urinary incontinence after radical prostatectomy (RP) is an adverse event with high impact on patient's quality of life. Nowadays there is no standardized method for urinary continence measurement. Posterior rhabdosphincter reconstruction (PRR) is a surgical step that can improve early urinary continence after RP. Our objective was to analyse different continence definitions and pred...
Machine learning (ML) model interpretability has attracted much attention recently given the promising performance of ML methods in crash frequency st...
We present a 3D deep learning framework that can generate a complete cranial model using a defective one. The Boolean subtraction between these two mo...
Drug-drug interactions (DDIs) aim at describing the effect relations produced by a combination of two or more drugs. It is an important semantic proce...
BACKGROUND AND AIMS: Hysterectomy, probably the most common non-pregnancy related surgery performed in gynaecology, is associated with moderate to sev...
The paper proposes a novel post-filtering method based on convolutional neural networks (CNNs) for quality enhancement of RGB/grayscale images and vid...
Brain network analysis can offer useful information to guide the rehabilitation of post-stroke patients. We applied functional network connection mode...
The Track-Hold System (THS) project, developed in a healthcare facility and therefore in a controlled and protected healthcare environment, contribute...
This study sought to develop basic robotic surgical skills among surgical trainees across multiple specialties using a VR-based curriculum and provide...
dHACM is a source of factors including cytokines that allow anti-inflammatory and proliferative elements to be utilized for wound and ulcer management...
 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor binding pr...
Effective wide-scale pharmacovigilance calls for accurate named entity recognition (NER) of medication entities such as drugs, dosages, reasons, and a...
Stroke is one of the most common neural disorders, which causes physical disabilities and motor impairments among its survivors. Several technologies ...
Robot-assisted radical prostatectomy (RARP) is challenging in men with prior history of transurethral resection of the prostate (TURP). Few studies an...
Global competition among businesses imposes a more effective and low-cost supply chain allowing firms to provide products at a desired quality, quanti...
This paper proposes a post-processing method called bidirectional interpolation method for sampling-based path planning algorithms, such as rapidly-ex...
Technological breakthroughs in recent years have led to a revolution in fields such as Machine Vision and Search and Rescue Robotics (SAR), thanks to ...
Robot-assisted stereoelectroencephalography (sEEG) is frequently employed to localize epileptogenic zones in patients with medically refractory epilep...
Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft failure. Here we sought an objective, quantitative...