Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Kashin-Beck disease diagnosis based on deep learning from hand X-ray images.

BACKGROUND AND OBJECTIVE: Kashin-Beck Disease (KBD) is a serious endemic bone disease leading to sho...

Dec 2020 33444784
Vision-Based Suture Tensile Force Estimation in Robotic Surgery.

Compared to laparoscopy, robotics-assisted minimally invasive surgery has the problem of an absence ...

Dec 2020 33375388
The realization of robotic neurorehabilitation in clinical: use of computational intelligence and future prospects analysis.

: Although there is a need for rehabilitation treatment with the increase in the aging population, t...

Dec 2020 33252284
Stability of 4 Intravenous Drug Formulations in Prefilled Syringes Stored Frozen for Up to 60 Days.

Prefilled drug syringe use may reduce the cost of routine antibiotic drug delivery. Storage of pref...

Nov 2020 35521001
An Exploratory Study of a New Vancomycin Eye Drops Formulation for Extemporaneous Compounding.

PURPOSE: Compounded eye drop solutions of vancomycin hydrochloride have important clinical applicati...

Nov 2020 35521008
Effect of Social Anxiety on the Adoption of Robotic Training Partner.

With the development of artificial intelligence technologies, robotic training partner is becoming a...

Nov 2020 33181020
Acceptability of Using a Robotic Nursing Assistant in Health Care Environments: Experimental Pilot Study.

BACKGROUND: According to the US Bureau of Labor Statistics, nurses will be the largest labor pool in...

Nov 2020 33180024
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.

Generative adversarial networks have achieved remarkable performance on various tasks but suffer fro...

Nov 2020 33217683
Prototype Development of an Expert System of Computerized Clinical Guidelines for COVID-19 Diagnosis and Management in Saudi Arabia.

The increasing number of COVID-19 patients has increased health care professionals' workloads, makin...

Nov 2020 33147715
Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study.

The rapid spread of COVID-19 has resulted in the shortage of medical resources, which necessitates a...

Oct 2020 33127965
Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction.

Shortage of fully annotated datasets has been a limiting factor in developing deep learning based im...

Oct 2020 32746108
Influence of Optimization Design Based on Artificial Intelligence and Internet of Things on the Electrocardiogram Monitoring System.

With the increasing emphasis on remote electrocardiogram (ECG) monitoring, a variety of wearable rem...

Oct 2020 33178407
A Novel Use of Artificial Intelligence to Examine Diversity and Hospital Performance.

BACKGROUND: The US population is becoming more racially and ethnically diverse. Research suggests th...

Oct 2020 33750544
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests.

OBJECTIVES: The rRT-PCR test, the current gold standard for the detection of coronavirus disease (CO...

Oct 2020 33079698
[Ethical, legal and social requirements for assistive robots in healthcare : Viewpoint of management personnel in hospitals and nursing homes].

BACKGROUND: In 2030 there will be 4 million people in need of care in Germany; however, the nursing ...

Oct 2020 33026488
Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.

BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on heal...

Sep 2020 32993652
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.

The simultaneous maturation of multiple digital and telecommunications technologies in 2020 has crea...

Sep 2020 32898686
Patient-Centered Appointment Scheduling: a Call for Autonomy, Continuity, and Creativity.

When making an appointment, patients are generally unaware of how much clinician time is available t...

Sep 2020 32885369
Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.

PURPOSE: To establish the correlation model between Traditional Chinese Medicine (TCM) constitution ...

Sep 2020 32952990
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