INTELIGÊNCIA ARTIFICIAL APLICADA À OTIMIZAÇÃO DO DIAGNÓSTICO POR IMAGEM

2021 ◽  
Author(s):  
SDAG Lab
Keyword(s):  
Artificial Intelligence ◽  
Labor Market ◽  
Health Professionals ◽  
Medical Diagnosis ◽  
Exploratory Study ◽  
Imaging Diagnosis ◽  
Use Of Technology ◽  
The Future ◽  
Evolution Of Technology

The use of technology for imaging has grown and optimized the quality of the diagnostics, speed of the examinations, and the level of dose for the patients. This work was developed using the exploratory study standard, through a bibliographical research of materials already produced, and aims to verify the presence of Artificial Intelligence (IA) applied to radiology as a means of optimizing the imaging diagnosis and awakening the professionals of the area on the evolution of technology to obtain a better medical diagnosis, concluding that, in the future, it may be required to adapt them to their insertion or permanence in the labor market, showing the importance of AI in radiology so that health professionals must develop in this area, since its application can bring great benefits to humanity.

Counseling Families and Deciding Care of Severely Defective Children: A Way of Coping with ‘Medical Vietnam’

PEDIATRICS ◽  
1981 ◽  
Vol 67 (3) ◽  
pp. 315-320 ◽  
Author(s):  
Raymond S. Duff
Keyword(s):  
Family Life ◽  
Health Professionals ◽  
Professional Autonomy ◽  
Competing Interests ◽  
Use Of Technology ◽  
Medical Paternalism

Medical paternalism supported by hospitals and courts has been, will be, and should be used in those few situations where clearly incompetent or irresponsible parents resist treatment that health professionals generally agree is needed and effective. If used in other circumstances, it is likely to erode family and professional autonomy and bring about an oppressive "medical Vietnam" (costly, sometimes abusive, use of technology to ensure biologic existence with little regard for quality of child and family life and competing interests). Families must be relied upon to help resolve most complex tragedies because there is no better alternative. They are likely to become stronger if they participate in decisions for care of their severely defective children. Such decisions logically include those for life or death.

Patient education

2013 ◽  
pp. 575-581
Author(s):  
David Walker ◽  
Ben Thompson
Keyword(s):  
Patient Education ◽  
Musculoskeletal Disorders ◽  
Complex Intervention ◽  
Health Professionals ◽  
Current Evidence ◽  
Essential Component ◽  
The Future

Patient education is an essential component of the management of musculoskeletal disorders. However, despite clear guidance that health professionals should be providing education for patients, uncertainty remains about the optimum strategies which should be adopted—exactly what, when and how education should be offered to patients—as well the effect education has on patients. Like any intervention, evidence is needed to show that education is effective, and to justify the resources required for its production and delivery. Yet education is a complex intervention, and studying its effect is challenging. This chapter focuses on these debates, reviewing current evidence regarding methods of delivering education, the timing and content of education, and how education is evaluated. Finally, it makes practical suggestions about improving the quality of patient education in the future.

scholarly journals Development of a cross-platform application for leprosy screening based on artificial intelligence. (Preprint)

2020 ◽  
Author(s):  
Márcio Luís Moreira De Souza ◽  
Gabriel Ayres Lopes ◽  
Alexandre Castelo Branco ◽  
Jessica K Fairley ◽  
Lucia Alves De Oliveira Fraga
Keyword(s):  
Artificial Intelligence ◽  
Confidence Intervals ◽  
Health Professionals ◽  
Web Application ◽  
Cloud Service ◽  
Accurate Method ◽  
Classification Model ◽  
Mato Grosso ◽  
Unified Health System

BACKGROUND According to WHO, to achieve targets for control of leprosy by 2030, it will require disease elimination and interruption of transmission at the national or regional level. India and Brazil have reported the highest leprosy burden over the decades, revealing the need for strategies and tools to help health professionals correctly manage and control the disease. OBJECTIVE The objective of this study is to assess the quality of leprosy data in Brazil by SINAN (Information System for Notifiable Diseases) and build a web application to increase the accessibility of an accurate method of classifying leprosy treatment for health professionals, especially for communities further away from the country's major diagnostic centers. METHODS Leprosy data were extracted from the SINAN database, carefully cleaned, and used to build artificial intelligence (AI) decision model based on Random Forest (RF) algorithm to predict operational classification in Paucibacillary (PB) or Multibacillary (MB). It used the software: i) Python to extract and clean the data; ii) R to train and test the AI model via cross-validation. To allow broad access, we deployed the final RF classification model in a web application that integrates the cloud service, Microsoft Azure, with a friendly layout built in Bubble.io. It used data available on the IBGE (Brazilian Institute of Geography and Statistics) and the DATASUS (Department of Informatics of the Unified Health System). RESULTS We mapped the dispersion of leprosy incidence in Brazil, 2014 to 2018, and noticed a high number of cases in central Brazil in 2014 that became even higher in 2018, in the state of Mato Grosso. Some municipalities showed discrepancies in the 80% range. We considered inconsistency the fact of not matching a set of standards for leprosy classification, according to WHO. Of a total of 21,047 discrepancies detected, the main was considered the operational rating that does not match the clinical form. After data processing, we identified a total of 77,628 cases with missing data. Regarding the quality of the AI model applied, the sensitivity was 93.97%, and the specificity was 87.09%. In most states of Brazil, human and machine confidence intervals intersect. CONCLUSIONS The proposed APP was able to recognize patterns in leprosy cases registered in the SINAN database and classify new patients as PB or MB, reducing the probability of oversight by health professionals. The collection and notification of data on leprosy in Brazil seem to lack specific validation to increase the quality of the data for implementations via AI. The AI model implemented in this work presented relatively large confidence intervals of accuracy that varied from across Brazilian states. This distortion is possibly due to the quality of the data that fed the classification model.

LIS Education ASEANization

2020 ◽  
pp. 158-176
Author(s):  
Reysa Alenzuela ◽  
Ana Mae Bantad Cantel
Keyword(s):  
Quality Assurance ◽  
Labor Market ◽  
The Philippines ◽  
Future Directions ◽  
Work In Progress ◽  
The Future ◽  
The Status

Although ASEAN integration commenced in 2015, achieving its goals is a work in progress. New opportunities for growth and prosperity are likely to emerge, but the colossal challenge is to ensure quality. This chapter discusses the mechanisms, procedures, and processes towards desired quality of LIS education to be globally competitive and regionally recognized. It further explains the qualifications framework and quality assurance compliance and its impact on developing competencies and recognition in the ASEAN labor market. The discussion puts emphasis on the status of LIS education in the Philippines as an empirical case, and further discusses the future directions towards achieving a system-wide evaluation of quality, articulation of a system of pathways and equivalencies, quality assurance and harmonization of LIS curriculum.

Analysis of Student Employment in the Context of Russian Labor Market

2008 ◽  
pp. 98-110 ◽  
Author(s):  
A. Apokin ◽  
M. Yudkevich
Keyword(s):  
Human Capital ◽  
Labor Market ◽  
Student Employment ◽  
Western Countries ◽  
The Future

The paper provides an explanation for widespread student employment in Russia. The main difference between Russia and Western countries is considered to be the following: student employment during the period of studying is widely used as a signal about the quality of human capital for the future employer. The authors show that in Russia more productive students start working earlier and employment is more often connected with the future profession than in the Western countries. They suggest that the system of communication between education structures and employers should be established in order to inform the latter about the quality and features of education acquired.

scholarly journals PENDEKATAN TEKNOLOGI DAN INFORMASI DALAM PERANCANGAN PUSAT INOVASI MOBIL MASA DEPAN

2020 ◽  
Vol 1 (2) ◽  
pp. 1373
Author(s):  
Steven Giovanni ◽  
Doddy Yuono
Keyword(s):  
Digital Media ◽  
The Internet ◽  
Technology System ◽  
The Public ◽  
Use Of Technology ◽  
The World ◽  
The Future ◽  
Technological Developments ◽  
Sophisticated Technology

Millennials are born where the world is modern and sophisticated technology has been introduced to the public where the entertainment industry has increased and is influenced by the internet. Diverse about the nature or characteristics of this generation and most of all this generation has an increase in the use of technology and digital media and prefers to learn something with the use of visuals. Rapid technological developments are very influential in millennial life. One of the things that has a connection with improving technology in this era is in the automotive sector. Manufacturers of car vehicle brands began to compete in issuing the concept of a future car where car vehicles prioritize system technology features and connectivity features. Therefore, the development of car vehicles continues to grow to date from the types of conventional car vehicles to future cars. By creating a car vehicle of the future, this generation can feel satisfaction in driving and can feel the performance or quality of the vehicle and the most important thing is to be able to feel the comfort and pleasure in driving with increasingly sophisticated technological features. With the existing viewpoint, the project for this millennial generation is the "Future Car Innovation Center" by providing program facilities in the form of knowledge of the design and advantages of future cars by delivering a technology system that is attractive and innovative. AbstrakGenerasi milenial terlahir dimana dunia sudah modern dan teknologi yang sudah canggih mulai diperkenalkan ke publik dimana industri hiburan sudah meningkat dan dipengaruhi oleh internet. Beragam tentang sifat atau karakteristik dari generasi ini dan yang paling utama generasi ini memiliki peningkatan dalam penggunaan teknologi serta media digital dan lebih menyukai mempelajari sesuatu dengan penggunaan hal visual. Perkembangan teknologi yang pesat sangat berpengaruh dalam kehidupan milenial. Salah satu hal yang terdapat hubungan dengan peningkatan teknologi pada zaman ini adalah di bidang otomotif. Produsen merek kendaraan mobil mulai bersaing dalam mengeluarkan konsep mobil masa depan dimana kendaraan mobil yang mengedepankan sistem fitur teknologi dan fitur konektivitas. Oleh sebab itu, perkembangan kendaraan mobil terus berkembang hingga saat ini dari jenis kendaraan mobil konvensional hingga kendaraan mobil masa depan (future cars). Dengan menciptakan kendaraan mobil masa depan, generasi ini dapat merasakan kepuasan dalam berkendara dan dapat merasakan performa atau kualitas dari kendaraan mobil tersebut dan yang paling penting adalah dapat merasakan kenyamanan dan kenikmatan dalam berkendara dengan fitur teknologi yang semakin canggih. Dengan adanya sudut pandang yang ada, proyek untuk generasi milenial ini adalah “Pusat Inovasi Mobil Masa Depan” dengan memberikan fasilitas program berupa pengetahuan akan desain dan kelebihan dari mobil masa depan dengan cara penyampaian yang mendepankan sistem teknologi dengan sifat yang atraktif dan inovatif. 

scholarly journals Weeds Detection in Agricultural Fields using Convolutional Neural Network

2019 ◽  
Vol 8 (11) ◽  
pp. 292-296
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Convolutional Neural Network ◽  
Image Classification ◽  
Weed Control ◽  
Classification System ◽  
Agricultural Fields ◽  
Use Of Technology ◽  
Neural Network Algorithm

Weeds are very annoying for farmers and also not very good for the crops. Its existence might damage the growth of the crops. Therefore, weed control is very important for farmers. Farmers need to ensure their agricultural fields are free from weeds for at least once a week, whether they need to spray weeds herbicides to their plantation or remove it using tools or manually. The aim of this research is to build an automated weed control robot using the Lego Mindstorm EV3 which connected to a computer. The robot consists of motors, servo motors and a camera which we use to capture the image of the crops and weeds. An automated image classification system has been designed to differentiate between weeds and crops. The robot will spray the weed herbicides directly to the area that have been detected weeds near or at it. For the image classification method, we employ the convolutional neural network algorithm to process the image of the object. Therefore, by the use of technology especially in artificial intelligence, farmers can reduce the amount of workload and workforce they need to monitor their plantation. In addition, this technology also can improve the quality of the crops.

scholarly journals ARTIFICIAL INTELLIGENCE BASED AUTOGATE SYSTEM DEVELOPMENT CONCEPT IN IMMIGRATION EXAMINATION FOR INDONESIAN CITIZENS AT IMMIGRATION EXAMINATION IN SOEKARNO-HATTA INTERNATIONAL AIRPORT

2019 ◽  
Vol 1 (1) ◽  
pp. 69-80
Author(s):  
Ary Rezqy Hakim
Keyword(s):  
Artificial Intelligence ◽  
Control Function ◽  
System Development ◽  
Immigration Control ◽  
Use Of Technology ◽  
Strategic Role ◽  
Directorate General ◽  
The Times

Immigration checks are one part of the immigration control function which has a strategic role in maintaining security and upholding the country's sovereignty. Along with the times, the implementation of immigration checks has experienced several increasingly complex obstacles and challenges. The use of technology is seen as one of the solutions that can overcome these obstacles and challenges. The Directorate General of Immigration has currently implemented an innovation in the form of autogate which is considered to have provided various benefits, although from the beginning of its implementation, until now autogate has not been able to fully replace the role of immigration officers. This is because immigration checks using autogate are unable to carry out profiling, and interviews with prospective passers at the Immigration Checkpoint, but currently with the discovery of technology in the form of Artificial Intelligence, it is expected to be able to improve the quality of immigration checks with autogate.

Skills for Life: Fostering Critical Thinking

2021 ◽  
Author(s):  
Stéphan Vincent-Lancrin
Keyword(s):  
Critical Thinking ◽  
Labor Market ◽  
School Principals ◽  
Educational Innovation ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Civic Life ◽  
The Future ◽  
Competency Based

AUTHORVincent-Lancrin, StéphanDATEOct 2021DOWNLOAD:English (63 downloads)DOIhttp://dx.doi.org/10.18235/0003743Critical thinking has become key to the skill set that people should develop not only to have better prospects in the labor market, but also a better personal and civic life. This brief shows how policymakers and teachers can help students develop their critical thinking skills. First, this brief defines critical thinking skills. Then, the brief shows how the concept can be translated into teacher-friendly rubrics to support them to design or redesign better lessons but also to assess their students. Lastly, the brief highlights 10 concrete steps for policymakers, school principals, and teachers to better prepare students for the future with critical thinking skills and improve the quality of their education. While applied to the fostering and assessing of students critical thinking skills, those 10 steps can be generalized to the implementation of other forms of educational innovation, notably competency-based curricula.

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