Latest AI and machine learning research in product alert for healthcare professionals.
Gastric cancer is a common cause of death worldwide and its early detection is crucial to improve it...
As geographic range estimates for the IUCN Red List guide conservation actions, accuracy and ecologi...
Understanding predator-prey interactions and food web dynamics is important for ecosystem-based mana...
OBJECTIVES: Deep learning-based automatic segmentation (DLAS) helps the reproducibility of radiomics...
The objective of the study was to assess endoscopic coblation adenoidectomy and conventional cold cu...
Diagnosis of endoleak following endovascular aortic repair (EVAR) relies on manual review of multi-s...
Identifying organs/tissue and pathology on radiological and microscopic images can be performed usin...
BACKGROUND: Erector spinae plane (ESP) block is a recently described interfacial block, and since 20...
In this paper we argue that transparency of machine learning algorithms, just as explanation, can be...
BACKGROUND: Our objective was to assess the performance of machine learning methods to predict post-...
Machine learning (ML) techniques are increasingly being used in clinical medical imaging to automate...
The adjunctive use of biofeedback systems with exoskeletons may accelerate post-stroke gait rehabili...
Diminazene diaceturate (DIM) and isometamidium chloride hydrochloride (ISMM) have been widely used f...
In the early months of the COVID-19 pandemic with no designated cure or vaccine, the only way to bre...
Prognostic models play an important role in the clinical management of cervical radiculopathy (CR). ...
Despite huge technological advances in the capabilities to capture, store, link and analyse data ele...
Inconsistent therapeutic efficacy of mesenchymal stem cells (MSCs) in regenerative medicine has been...
Respiratory parameters change during post-natal development, but the nature of their changes have no...
Some patients with acromegaly do not reach the remission standard in the short term after surgery b...
PURPOSE: The purpose of this study was to clarify whether the novel lateral transfer assist robot fa...
Semisupervised machine-learning methods are able to learn from fewer labeled patient data. We illust...