Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Compensatory aids can help mitigate the impact of progressive cognitive impairment on daily living.
The modern pharmaceutical industry is transitioning from traditional methods to advanced technologies like artificial intelligence. In the current scenario, continuous efforts are being made to incorporate computational modeling and simulation in drug discovery, development, design, and optimization. With the advancement in technology and modernization, many pharmaceutical companies are approachin...
BACKGROUND: Children with cerebral palsy (CP) have disorders of posture and movement and which can limit physical activities such as walkingOBJECTIVE:...
OBJECTIVE: We conducted a systematic review to assess the effect of natural language processing (NLP) systems in improving the accuracy and efficiency...
BACKGROUND: SUBAR is a new ground walking exoskeletal robot. The objective of this study is to investigate SUBAR-assisted gait training's effects in p...
Patient safety event (PSE) reports are a useful lens to understand hazards and patient safety risks in healthcare systems. However, patient safety off...
BACKGROUND: Efficacy of elvitegravir/cobicistat/emtricitabine/tenofovir disoproxil (E/C/F/TDF) in treatment-naïve and experienced patients with HIV in...
BACKGROUND: In Japan, docetaxel, a cytotoxic monotherapy, is the standard drug administered to older patients with advanced non-small-cell lung cancer...
The purpose of paper is to investigate the depression and anxiety as well as independent influential factors between patients who underwent Da Vinci r...
Data-driven deep learning has been considered a promising method for building powerful models for medical data, which often requires a large amount of...
OBJECTIVE: To explore the short-term effectiveness of domestic robot-assisted total knee arthroplasty (RATKA) conducted by a prospective randomized co...
A basket trial in oncology encompasses multiple "baskets" that simultaneously assess one treatment in multiple cancer types or subtypes. It is well-re...
BACKGROUND: Once-daily tacrolimus reduces non-compliance relative to twice-daily tacrolimus. However, little is known about the safety and efficacy of...
Machine learning brings the hope of finding new biomarkers extracted from cohorts with rich biomedical measurements. A good biomarker is one that give...
Anastomotic complications occur after 5% to 20% of operations for rectosigmoid colon cancer. The intestinal perfusion status at the anastomotic site i...
BACKGROUND AND OBJECTIVES: In an effort to improve and standardize the collection of adverse event data, the Agency for Healthcare Research and Qualit...
OBJECTIVE: This study examined the impact of a humanoid robot (MEDi®) programmed to teach deep breathing as a coping strategy, on children's pain and ...
We propose a variation of the self-organizing map algorithm by considering the random placement of neurons on a two-dimensional manifold, following a ...
Electrocardiographic (ECG) assessment of patients with suspected heart disease is a bedrock of cardiology for diagnosing conduction system disease, ar...