Latest AI and machine learning research in product alert for healthcare professionals.
In this study, we propose a novel deep learning-based framework for automatic gait event detection (GED) in diverse and complex walking scenarios, aiming to address the challenge of accurately identifying biomechanical markers linked to movement disorders. Current research methods in GED frequently encounter difficulties in maintaining high accuracy levels, especially when confronted with the intr...
Post-induction hypotension (PIH) occurs shortly after anesthesia induction and is related to several post-operative complications. Medications delivered during induction and maintenance of anesthesia are significantly related to PIH occurrence, which remains common due to the intricate nature of clinical factors. To enhance decision-making on anesthestic dosing, machine learning (ML) is proposed t...
The goal of the present pilot investigation is to examine the effects of 8 weeks of supervised, over-ground gait training using a robotic exoskeleton ...
Calculating mealtime insulin doses poses a significant challenge for individuals with Type 1 Diabetes (T1D). Doses should perfectly compensate for e...
Tandem mass spectrometry has played a pivotal role in advancing proteomics, enabling the high-throughput analysis of protein composition in biologic...
This new editorial discusses the promise and challenges of successful integration of natural language processing methods into electronic health record...
In many different domains, experts can make complex decisions after glancing very briefly at an image. However, the perceptual mechanisms underlying e...
Objectives Natural disasters have a significant impact on mental health. Data collected from the population offer a unique opportunity for post-disast...
BACKGROUND: Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait in post-stroke rehabilitation, the optimal predic...
BACKGROUND: Diagnostic challenges exist for CMV pneumonia in post-hematopoietic stem cell transplantation (post-HSCT) patients, despite early-phase ra...
AIM: Anorectal diseases, often requiring surgical intervention and careful post-operative wound management, pose substantial challenges in healthcare....
In 2019, the Atacama Rover Astrobiology Drilling Studies (ARADS) project field-tested an autonomous rover-mounted robotic drill prototype for a 6-Sol ...
The practice of oncology requires analyzing and synthesizing abundant data. From the patient's workup to determine eligibility to the therapies receiv...
Visualization of endovascular tools like guidewire and catheter is essential for procedural success of endovascular interventions. This requires track...
Concept extraction from prescriptions is a very important task that provides a foundation for many of the downstream healthcare applications in decisi...
Neonatal seizures after an hypoxic-ischemic (HI) event in preterm newborns can contribute to neural injury and cause impaired brain development. Prete...
Liver transplantation (LT) is a life-saving treatment for individuals with end-stage liver disease. The management of LT recipients is complex, predom...
With the wide application of artificial intelligence (AI) technology in clinical practice, more and more legal problems need to be solved. At present,...
Accurate prediction of the phenotypic outcomes produced by different combinations of genotypes, environments, and management interventions remains a k...
Open radical cystectomy (ORC) is associated with high rates of perioperative morbidity and mortality, owing to its extensive surgical nature and the h...