Latest AI and machine learning research in product alert for healthcare professionals.
Robotic seals have been studied in long-term care settings; though, no studies of patients with dementia in the acute care setting have been reported. The purpose of this study was to evaluate the feasibility of PARO interventions for hospitalized patients with dementia, determine physiological effects and describe social-affective interactions. Using a prospective descriptive design with pre-post...
Understanding the specificity of symptom change in schizophrenia can facilitate the evaluation antipsychotic efficacy for different symptom domains. Previous work identified a transform of PANSS using an uncorrelated PANSS score matrix (UPSM) to reduce pseudospecificity among symptom domains during clinical trials of schizophrenia. Here we used UPSM-transformed factor scores to identify 5 distinct...
Gastric cancer is a common cause of death worldwide and its early detection is crucial to improve its prognosis. Its incidence varies throughout count...
As geographic range estimates for the IUCN Red List guide conservation actions, accuracy and ecological realism are crucial. IUCN's extent of occurren...
Understanding predator-prey interactions and food web dynamics is important for ecosystem-based management in aquatic environments, as they experience...
The objective of the study was to assess endoscopic coblation adenoidectomy and conventional cold curettage adenoidectomy in terms of safety and effic...
Diagnosis of endoleak following endovascular aortic repair (EVAR) relies on manual review of multi-slice CT angiography (CTA) by physicians which is a...
Identifying organs/tissue and pathology on radiological and microscopic images can be performed using convolutional neural networks (CNN). However, th...
In this paper we argue that transparency of machine learning algorithms, just as explanation, can be defined at different levels of abstraction. We cr...
The adjunctive use of biofeedback systems with exoskeletons may accelerate post-stroke gait rehabilitation. Wearable patient-oriented human-robot inte...
Diminazene diaceturate (DIM) and isometamidium chloride hydrochloride (ISMM) have been widely used for the treatment of animal trypanosomosis. We eval...
In the early months of the COVID-19 pandemic with no designated cure or vaccine, the only way to break the infection chain is self-isolation and maint...
Despite huge technological advances in the capabilities to capture, store, link and analyse data electronically, there has been some but limited impac...
Inconsistent therapeutic efficacy of mesenchymal stem cells (MSCs) in regenerative medicine has been documented in many clinical trials. Precise predi...
Respiratory parameters change during post-natal development, but the nature of their changes have not been well-described. The advent of commercially ...
Some patients with acromegaly do not reach the remission standard in the short term after surgery but achieve remission without additional postoperat...
Semisupervised machine-learning methods are able to learn from fewer labeled patient data. We illustrate the potential use of a semisupervised automat...
Robot-aided gait training (RAGT) has been implemented to provide patients with spinal cord injury (SCI) with a physiological limb activation during ga...
For people living with an ostomy, development of peristomal skin complications (PSCs) is the most common post-operative challenge. A visual sign of PS...
We studied the performance of a robotic orthosis designed to assist the paretic hand after stroke. It is wearable and fully user-controlled, serving t...