Public Health & Policy

Work Force

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

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CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.

BACKGROUND AND OBJECTIVE: The novel Coronavirus also called COVID-19 originated in Wuhan, China in D...

Jun 2020 32534344
TF3P: Three-Dimensional Force Fields Fingerprint Learned by Deep Capsular Network.

Molecular fingerprints are the workhorse in ligand-based drug discovery. In recent years, an increas...

(1)
May 2020 32392062
A Machine Learning-Based Approach for Predicting Patient Punctuality in Ambulatory Care Centers.

Late-arriving patients have become a prominent concern in several ambulatory care clinics across the...

(1)
May 2020 32456329
A deep metric learning approach for histopathological image retrieval.

To distinguish ambiguous images during specimen slides viewing, pathologists usually spend lots of t...

May 2020 32439386
A deep learning system for differential diagnosis of skin diseases.

Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are s...

May 2020 32424212
Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department.

Emergency and trauma radiologists, emergency department's physicians and nurses, researchers, depart...

Apr 2020 32309989
Automatic diagnosis of the 12-lead ECG using a deep neural network.

The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accura...

(1)
Apr 2020 32273514
Quantitative Assessment of Motor Function for Patients with a Stroke by an End-Effector Upper Limb Rehabilitation Robot.

With the popularization of rehabilitation robots, it is necessary to develop quantitative motor func...

(1)
Apr 2020 32462001
Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAP).

The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effe...

Mar 2020 32192211
Robotic fetal ultrasonography platform with a passive scan mechanism.

PURPOSE: The shortage of obstetricians and gynecologists has intensified in developed countries. Our...

(1)
Feb 2020 32107746
A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities.

Prediction of ground reaction force (GRF) magnitudes during running-based sports has several importa...

Feb 2020 32115354
The Virtual Operative Assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine.

Simulation-based training is increasingly being used for assessment and training of psychomotor skil...

Feb 2020 32106247
Towards a global understanding of the drivers of marine and terrestrial biodiversity.

Understanding the distribution of life's variety has driven naturalists and scientists for centuries...

Feb 2020 32023269
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.

BACKGROUND: An increasing volume of prostate biopsies and a worldwide shortage of urological patholo...

Jan 2020 31926806
Stress among Portuguese Medical Students: the EuStress Solution.

There has been an increasing attention to the study of stress. Particularly, college students often ...

Jan 2020 31897774
Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments.

In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-driven a...

(1)
Dec 2019 31905991
The Interaction Between Feedback Type and Learning in Routine Grasping With Myoelectric Prostheses.

While prosthetic fitting after upper-limb loss allows for restoration of motor functions, it deprive...

Dec 2019 31870991
Re-examining physician-scientist training through the prism of the discovery-invention cycle.

The training of physician-scientists lies at the heart of future medical research. In this commentar...

Dec 2019 32089830
Artificial intelligence and the future of psychiatry: Insights from a global physician survey.

BACKGROUND: Futurists have predicted that new autonomous technologies, embedded with artificial inte...

Nov 2019 31980092
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