AIMC Topic: Double-Blind Method
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Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis.
Lancet (London, England)
Aug 30, 2021
BACKGROUND: Mortality remains unacceptably high in patients with heart failure and reduced left ventricular ejection fraction (LVEF) despite advances in therapeutics. We hypothesised that a novel artificial intelligence approach could better assess m...
Intraoperative multimodal analgesic bundle containing dexmedetomidine and ketorolac may improve analgesia after robot-assisted prostatectomy in patients receiving rectus sheath blocks.
Asian journal of surgery
Aug 6, 2021
BACKGROUND: Minimally invasive robot-assisted laparoscopic radical prostatectomy (RALP) has replaced open prostatectomy. However, RALP does not reduce postoperative pain compared to the open approach. We explored whether bundled intraoperative intrav...
An Artificial-Intelligence-Discovered Functional Ingredient, NRT_N0G5IJ, Derived from , Decreases HbA1c in a Prediabetic Population.
Nutrients
May 13, 2021
The prevalence of prediabetes is rapidly increasing, and this can lead to an increased risk for individuals to develop type 2 diabetes and associated diseases. Therefore, it is necessary to develop nutritional strategies to maintain healthy glucose l...
The Influence of Fluid Intake Behavior on Cognition and Mood among College Students in Baoding, China.
Annals of nutrition & metabolism
Mar 29, 2021
INTRODUCTION: Water is a critical nutrient, and it is important for the maintenance of the physiological function of the human body [1 -3 ]. In addition to fluid amounts, f...
Early response to SPN-812 (viloxazine extended-release) can predict efficacy outcome in pediatric subjects with ADHD: a machine learning post-hoc analysis of four randomized clinical trials.
Psychiatry research
Jan 5, 2021
Machine learning (ML) was used to determine whether early response can predict efficacy outcome in pediatric subjects with ADHD treated with SPN-812. We used data from four Phase 3 placebo-controlled trials of 100- to 600-mg/day SPN-812 (N=1397; 6-17...
Drug Administration Schedule
Central Nervous System Stimulants
Delayed-Action Preparations
Attention Deficit Disorder with Hyperactivity
Viloxazine
Randomized Controlled Trials as Topic
Double-Blind Method
Body Weight
Clinical Trials as Topic
Female
Child
Male
Treatment Outcome
Adolescent
Body Mass Index
Humans
Dose-Response Relationship, Drug
Machine Learning
Effect of Machine Learning on Dispatcher Recognition of Out-of-Hospital Cardiac Arrest During Calls to Emergency Medical Services: A Randomized Clinical Trial.
JAMA network open
Jan 4, 2021
IMPORTANCE: Emergency medical dispatchers fail to identify approximately 25% of cases of out-of-hospital cardiac arrest (OHCA), resulting in lost opportunities to save lives by initiating cardiopulmonary resuscitation.
Tualang honey versus steroid impregnated nasal dressing following endoscopic sinus surgery: a randomized controlled trial.
Journal of complementary & integrative medicine
Dec 21, 2020
OBJECTIVES: Recurrence rate of nasal polyps is high following endoscopic sinus surgery. To improve the surgical outcome, steroid impregnated nasal dressing is used postoperatively We aimed to compare the effect of Tualang honey impregnated nasal dres...
Characterization of specific and distinct patient types in clinical trials of acute schizophrenia using an uncorrelated PANSS score matrix transform (UPSM).
Psychiatry research
Nov 11, 2020
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 redu...
OCT Signal Enhancement with Deep Learning.
Ophthalmology. Glaucoma
Oct 15, 2020
PURPOSE: To establish whether deep learning methods are able to improve the signal-to-noise ratio of time-domain (TD) OCT images to approach that of spectral-domain (SD) OCT images.
Machine learning and individual variability in electric field characteristics predict tDCS treatment response.
Brain stimulation
Oct 10, 2020
BACKGROUND: Transcranial direct current stimulation (tDCS) is widely investigated as a therapeutic tool to enhance cognitive function in older adults with and without neurodegenerative disease. Prior research demonstrates that electric current delive...
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