Staffing & Scheduling

A systematic review on natural language processing systems for eligibility prescreening in clinical research.

OBJECTIVE: We conducted a systematic review to assess the effect of natural language processing (NLP) systems in improving the accuracy and efficiency of eligibility prescreening during the clinical research recruitment process.

THE ROLE OF BURSTS IN SENSORY DISCRIMINATION AND RETENTION OF FAVORED INPUTS IN THE CULTURED NEURAL NETWORKS.

The capacity of neural tissue to discriminiate the sensory signals determines how we recognise the world diversity. Dissociated cortical culture (DCC) homed in a multielectrode array allows mimicking neural networks of the brain and using it for investigation of neural computation processes. This in vivo-like in vitro system allows tracking and assessing structural and functional refinement, as we...

[Comparison of single incision robot-assisted laparoscopic radical prostatectomy with and without extraperitoneal special channel device].

To compare the clinical effects of single-incision robot-assisted laparoscopic radical prostatectomy (RARP) with and without extraperitoneal special ...

Development and qualification of a machine learning algorithm for automated hair counting.

OBJECTIVE: Determining the amount of hair on the scalp has always been an important metric of patient satisfaction for hair growth and hair retention ...

Optimization of Radiology Workflow with Artificial Intelligence.

The potential of artificial intelligence (AI) in radiology goes far beyond image analysis. AI can be used to optimize all steps of the radiology workf...

Federated Learning via Conditional Mutual Learning for Alzheimer's Disease Classification on T1w MRI.

Data-driven deep learning has been considered a promising method for building powerful models for medical data, which often requires a large amount of...

Preventing dataset shift from breaking machine-learning biomarkers.

Machine learning brings the hope of finding new biomarkers extracted from cohorts with rich biomedical measurements. A good biomarker is one that give...

Machine Learning: The Next Paradigm Shift in Medical Education.

Machine learning (ML) algorithms are powerful prediction tools with immense potential in the clinical setting. There are a number of existing clinical...

AI-ssessment: Towards Assessment As a Sociotechnical System for Learning.

Two decades ago, the advent of competency-based medical education (CBME) marked a paradigm shift in assessment. Now, medical education is on the cusp ...

Exploiting the power of information in medical education.

The explosion of medical information demands a thorough reconsideration of medical education, including what we teach and assess, how we educate, and ...

Semi-supervised random forest regression model based on co-training and grouping with information entropy for evaluation of depression symptoms severity.

Semi-supervised learning has always been a hot topic in machine learning. It uses a large number of unlabeled data to improve the performance of the m...

Comparisons between Locomat and Walkbot robotic gait training regarding balance and lower extremity function among non-ambulatory chronic acquired brain injury survivors.

Lower limb rehabilitation exoskeleton robots connect with the human body in a wearable way and control the movement of joints in the gait rehabilitati...

Effect of a Predictive Model on Planned Surgical Duration Accuracy, Patient Wait Time, and Use of Presurgical Resources: A Randomized Clinical Trial.

IMPORTANCE: Accurate surgical scheduling affects patients, clinical staff, and use of physical resources. Although numerous retrospective analyses hav...

Learning Retention Mechanisms and Evolutionary Parameters of Duplicate Genes from Their Expression Data.

Learning about the roles that duplicate genes play in the origins of novel phenotypes requires an understanding of how their functions evolve. A previ...

[Artificial intelligence based Chinese clinical trials eligibility criteria classification].

Subject recruitment is a key component that affects the progress and results of clinical trials, and generally conducted with eligibility criteria (in...

Effect of robot-assisted gait training on gait automaticity in Parkinson disease: A prospective, open-label, single-arm, pilot study.

Gait automaticity is reduced in patients with Parkinson disease (PD) due to impaired habitual control. The aim of this study was to investigate the ef...

Technology Can Augment, but Not Replace, Critical Human Skills Needed for Patient Care.

The practice of medicine is changing rapidly as a consequence of electronic health record adoption, new technologies for patient care, disruptive inno...

Is a Fundamental Design Change for Gastrointestinal Endoscopes Required?

Since the first fiberoptic instruments, gastrointestinal endoscopy has shaped the field of gastroenterology and is now a key diagnostic and therapeuti...

[Clinical Course and Treatment of Acute Urinary Retention after Robot- Assisted Laparoscopic Radical Prostatectomy : A Single Institution Experience of 11 Cases].

Robot-assisted laparoscopic radical prostatectomy (RARP) is becoming the standard treatment procedure for localized prostate cancer. The main complica...

Chronic kidney disease in Hepatitis C and its association with liver cirrhosis and viral load: Revealing the importance of hematuria.

Hepatitis C virus (HCV) contributed as a risk factor for chronic kidney disease (CKD). Many studies only showed it associated with estimated glomerula...