Advances of flexible pressure sensors toward artificial intelligence and health care applications

2015 ◽  
Vol 2 (2) ◽  
pp. 140-156 ◽  
Author(s):  
Yaping Zang ◽  
Fengjiao Zhang ◽  
Chong-an Di ◽  
Daoben Zhu
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Electronic Devices ◽  
Pressure Sensors ◽  
Health Care Industry ◽  
Organic Electronic Devices ◽  
Organic Electronic ◽  
Care Industry ◽  
Health Care Applications ◽  
Flexible Pressure Sensors

Incorporating flexible pressure sensors with organic electronic devices allows their promising applications in artificial intelligence and the health care industry.

scholarly journals The World of Orthodontic apps.

2017 ◽  
Vol 7 ◽  
pp. 73-79 ◽  
Author(s):  
Gaurav Gupta ◽  
Nikhilesh R. Vaid
Keyword(s):  
Health Care ◽  
Patient Education ◽  
Operating Systems ◽  
Patient Management ◽  
Electronic Devices ◽  
Health Care Industry ◽  
Model Analysis ◽  
Care Industry ◽  
The World ◽  
Google Play

The usage of the portable electronic devices such as the smartphones and handheld tablets has increased over the years, and this is true in the health-care industry also. This is because of the development of various patient management softwares. The use of apps to manage, educate, and inform patient is not uncommon among orthodontists nowadays. The aim of this article was to review the various apps available on the Google Play Store and iOS Apple Store for orthodontists and patients. Four smartphones using orthodontically relevant keywords such as orthodontics, orthodontists, and braces were searched and reviewed in detail. Out of the 354 orthodontically relevant apps available in both Android and Apple operating systems, the apps could be categorized as orthodontist-related apps or patient-related apps. Under these categories they could be further classified as practice managements apps, patient education apps, model analysis apps, tooth material calculators, patient reminder apps, etc.

scholarly journals Artificial Intelligence Can Improve the Healthcare System

2019 ◽  
pp. 37-39
Author(s):  
Anchana Kuganesan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Health Care ◽  
Health Care Industry ◽  
Data Interpretation ◽  
Care Patient ◽  
Physical Aspect ◽  
Preventative Care ◽  
Care Industry ◽  
Physical Components

Artificial intelligence (AI) is a computer system used to model human cognitive functions, intelligence, and behaviour. Components include both, a virtual and a physical aspect. Virtual aspects of AI include algorithms and neural networks instilled within the system to execute its assignments. Physical components include the entity in conjunction with a code. 1 AI is currently being developed by Nvidia Corporation, Alphabet, Twilio, Amazon, Micron Technology, Microsoft Corp., Baidu, Intel Corp., Facebook, and Tencent. 2 Expanding AI into the health care system can be beneficial for preventative care, patient safety, and reducing treatment costs for families. AI has proven to be useful in machine learning, thus, it can be programmed to complete specific tasks. By performing tasks such as data interpretation, the amount of time that it takes for a physician to consult patients regarding their results will be reduced. In addition, AI is capable of analyzing medical images to identify tumours and it has previously been used in various other branches of medicine such as neurology and cardiology. Overall, AI has great potential to improve the health care industry in North America and worldwide. However, potential violations while utilizing personal patient data must be addressed whilst modifying this technology.

A Study On Performance Appraisal of Employees in Health Care Industry in a Private Multi-Speciality Organization

2011 ◽  
Vol 1 (9) ◽  
pp. 125-126
Author(s):  
Dr. C. Swarnalatha Dr. C. Swarnalatha ◽  
◽  
T.S. Prasanna T.S. Prasanna
Keyword(s):  
Health Care ◽  
Performance Appraisal ◽  
Health Care Industry ◽  
Care Industry

Canadian legislatures and the regulation of the private health-care industry

2018 ◽  
Vol 68 (2) ◽  
pp. 231-258
Author(s):  
Marie-Claude Prémont ◽  
Cory Verbauwhede
Keyword(s):  
Health Care ◽  
Health Care Industry ◽  
Private Health Care ◽  
Care Industry

scholarly journals Silicon Nitride Deposition for Flexible Organic Electronic Devices by VHF (162 MHz)-PECVD Using a Multi-Tile Push-Pull Plasma Source

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Ki Seok Kim ◽  
Ki Hyun Kim ◽  
You Jin Ji ◽  
Jin Woo Park ◽  
Jae Hee Shin ◽  
...  
Keyword(s):  
Silicon Nitride ◽  
Electronic Devices ◽  
Plasma Source ◽  
Organic Electronic Devices ◽  
Organic Electronic

scholarly journals Exploring the Social Networks’ Use in the Health-Care Industry: A Multi-Level Analysis

2021 ◽  
Vol 18 (14) ◽  
pp. 7295
Author(s):  
Tommasina Pianese ◽  
Patrizia Belfiore
Keyword(s):  
Health Care ◽  
Social Networks ◽  
Health Care Providers ◽  
Health Care Industry ◽  
Future Research ◽  
Great Level ◽  
Care Providers ◽  
Care Industry ◽  
Multi Level ◽  
Video And Audio

The application of social networks in the health domain has become increasingly prevalent. They are web-based technologies which bring together a group of people and health-care providers having in common health-related interests, who share text, image, video and audio contents and interact with each other. This explains the increasing amount of attention paid to this topic by researchers who have investigated a variety of issues dealing with the specific applications in the health-care industry. The aim of this study is to systematize this fragmented body of literature, and provide a comprehensive and multi-level overview of the studies that has been carried out to date on social network uses in healthcare, taking into account the great level of diversity that characterizes this industry. To this end, we conduct a scoping review enabling to identify the major research streams, whose aggregate knowledge are discussed according to three levels of analysis that reflect the viewpoints of the major actors using social networks for health-care purposes, i.e., governments, health-care providers (including health-care organizations and professionals) and social networks’ users (including ill patients and general public). We conclude by proposing directions for future research.

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