scholarly journals Evaluation of radiologist’s knowledge about the Artificial Intelligence in diagnostic radiology: a survey-based study

2020 ◽  
Vol 9 (7) ◽  
pp. 205846012094532
Author(s):  
Abdulrahman Tajaldeen ◽  
Salem Alghamdi
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Current Practice ◽  
Rapid Development ◽  
Daily Basis ◽  
Diagnostic Radiology ◽  
Online Questionnaire ◽  
Educational Activities ◽  
Residency Programme ◽  
Lack Of Knowledge

Background Advanced developments in diagnostic radiology have provided a rapid increase in the number of radiological investigations worldwide. Recently, Artificial Intelligence (AI) has been applied in diagnostic radiology. The purpose of developing such applications is to clinically validate and make them feasible for the current practice of diagnostic radiology, in which there is less time for diagnosis. Purpose To assess radiologists’ knowledge about AI’s role and establish a baseline to help in providing educational activities on AI in diagnostic radiology in Saudi Arabia. Material and Methods An online questionnaire was designed using QuestionPro software. The study was conducted in large hospitals located in different regions in Saudi Arabia. A total of 93 participants completed the questionnaire, of which 32 (34%) were trainee radiologists from year 1 to year 4 (R1–R4) of the residency programme, 33 (36%) were radiologists and fellows, and 28 (30%) were consultants. Results The responses to the question related to the use of AI on a daily basis illustrated that 76 (82%) of the participants were not using any AI software at all during daily interpretation of diagnostic images. Only 17 (18%) reported that they used AI software for diagnostic radiology. Conclusion There is a significant lack of knowledge about AI in our residency programme and radiology departments at hospitals. Due to the rapid development of AI and its application in diagnostic radiology, there is an urgent need to enhance awareness about its role in different diagnostic fields.

scholarly journals Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

10.2196/17620 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e17620 ◽  
Author(s):  
Rana Abdullah ◽  
Bahjat Fakieh
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Saudi Arabia ◽  
Health Sector ◽  
Employee Perceptions ◽  
Market Potential ◽  
Human Interaction ◽  
Survey Study ◽  
Health Care Information ◽  
Online Questionnaire

Background The advancement of health care information technology and the emergence of artificial intelligence has yielded tools to improve the quality of various health care processes. Few studies have investigated employee perceptions of artificial intelligence implementation in Saudi Arabia and the Arabian world. In addition, limited studies investigated the effect of employee knowledge and job title on the perception of artificial intelligence implementation in the workplace. Objective The aim of this study was to explore health care employee perceptions and attitudes toward the implementation of artificial intelligence technologies in health care institutions in Saudi Arabia. Methods An online questionnaire was published, and responses were collected from 250 employees, including doctors, nurses, and technicians at 4 of the largest hospitals in Riyadh, Saudi Arabia. Results The results of this study showed that 3.11 of 4 respondents feared artificial intelligence would replace employees and had a general lack of knowledge regarding artificial intelligence. In addition, most respondents were unaware of the advantages and most common challenges to artificial intelligence applications in the health sector, indicating a need for training. The results also showed that technicians were the most frequently impacted by artificial intelligence applications due to the nature of their jobs, which do not require much direct human interaction. Conclusions The Saudi health care sector presents an advantageous market potential that should be attractive to researchers and developers of artificial intelligence solutions.

scholarly journals Is digital or internet addiction a reality: study from King Khalid University Saudi Arabia

2020 ◽  
Vol 7 (5) ◽  
pp. 1645
Author(s):  
Mudassir M. Wani ◽  
Javed I. Wani
Keyword(s):  
Saudi Arabia ◽  
Medical Students ◽  
Internet Addiction ◽  
Daily Basis ◽  
Health Issues ◽  
Online Questionnaire ◽  
Digital Devices ◽  
Key Factor ◽  
A Prospective Study ◽  
Digital Or

Background: Internet and digital devices are one of the essentialities of present-day life as we depend on them for information, inter-personal relationships, entertainment and even economic transactions. The number of hours being spent by individuals has been increasing day by day. Due to addictive nature of the problem, internet addiction or digital addiction disorder has been coined. This study was carried among medical students associated with King Khalid University Abha Saudi Arabia, with aim to analyze epidemiological aspects of internet/digital usage among the group specified.Methods: It was a prospective study. 153 subjects responded to online questionnaire sent through Whatsapp. Majority of subjects responding were female medical students, followed by dental students.Results: Results from the study found that about 21.57% of students were using internet for more than 10 hours out of 24 on daily basis. The most common used applications on mobiles was WhatsApp (94.12%). 42.48% of students suffered from sleep disturbance. 44.4% thought that digital devices are very important for their lives.Conclusions: Study reveals a very serious trend in terms of time spent by students on internet and also the adverse health issues due to same, with evidence of dependence in a subset of students. Study recommend that awareness is a key factor as internet usage is more personal but having an impact not only on individual but also on society as well.

scholarly journals Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study (Preprint)

2019 ◽  
Author(s):  
Rana Abdullah ◽  
Bahjat Fakieh
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Saudi Arabia ◽  
Health Sector ◽  
Employee Perceptions ◽  
Market Potential ◽  
Human Interaction ◽  
Survey Study ◽  
Health Care Information ◽  
Online Questionnaire

BACKGROUND The advancement of health care information technology and the emergence of artificial intelligence has yielded tools to improve the quality of various health care processes. Few studies have investigated employee perceptions of artificial intelligence implementation in Saudi Arabia and the Arabian world. In addition, limited studies investigated the effect of employee knowledge and job title on the perception of artificial intelligence implementation in the workplace. OBJECTIVE The aim of this study was to explore health care employee perceptions and attitudes toward the implementation of artificial intelligence technologies in health care institutions in Saudi Arabia. METHODS An online questionnaire was published, and responses were collected from 250 employees, including doctors, nurses, and technicians at 4 of the largest hospitals in Riyadh, Saudi Arabia. RESULTS The results of this study showed that 3.11 of 4 respondents feared artificial intelligence would replace employees and had a general lack of knowledge regarding artificial intelligence. In addition, most respondents were unaware of the advantages and most common challenges to artificial intelligence applications in the health sector, indicating a need for training. The results also showed that technicians were the most frequently impacted by artificial intelligence applications due to the nature of their jobs, which do not require much direct human interaction. CONCLUSIONS The Saudi health care sector presents an advantageous market potential that should be attractive to researchers and developers of artificial intelligence solutions.

Towards a Customized¬ Awareness Campaign to Educate the Public about COVID-19: Development and Validation of a Messaging Campaign to Promote Precautionary Behavior Using Geospatial Intelligence in Saudi Arabia (Preprint)

2020 ◽  
Author(s):  
Mayda Alrige ◽  
Hind Bitar Bitar ◽  
Maram Meccawi ◽  
Balakrishnan Mullachery
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Content Validity ◽  
Awareness Campaign ◽  
Artificial Intelligence Technique ◽  
The Public ◽  
High Infection ◽  
Local Map ◽  
The City ◽  
Intelligence Technique

BACKGROUND Designing a health promotion campaign is never an easy task, especially during a pandemic of a highly infectious disease, such as Covid-19. In Saudi Arabia, many attempts have been made toward raising the public awareness about Covid-19 infection-level and its precautionary health measures that have to be taken. Although this is useful, most of the health information delivered through the national dashboard and the awareness campaign are very generic and not necessarily make the impact we like to see on individuals’ behavior. OBJECTIVE The objective of this study is to build and validate a customized awareness campaign to promote precautionary health behavior during the COVID-19 pandemic. The customization is realized by utilizing a geospatial artificial intelligence technique called Space-Time Cube (STC) technique. METHODS This research has been conducted in two sequential phases. In the first phase, an initial library of thirty-two messages was developed and validated to promote precautionary messages during the COVID-19 pandemic. This phase was guided by the Fogg Behavior Model (FBM) for behavior change. In phase 2, we applied STC as a Geospatial Artificial Intelligence technique to create a local map for one city representing three different profiles for the city districts. The model was built using COVID-19 clinical data. RESULTS Thirty-two messages were developed based on resources from the World Health Organization and the Ministry of Health in Saudi Arabia. The enumerated content validity of the messages was established through the utilization of Content Validity Index (CVI). Thirty-two messages were found to have acceptable content validity (I-CVI=.87). The geospatial intelligence technique that we used showed three profiles for the districts of Jeddah city: one for high infection, another for moderate infection, and the third for low infection. Combining the results from the first and second phases, a customized awareness campaign was created. This awareness campaign would be used to educate the public regarding the precautionary health behaviors that should be taken, and hence help in reducing the number of positive cases in the city of Jeddah. CONCLUSIONS This research delineates the two main phases to developing a health awareness messaging campaign. The messaging campaign, grounded in FBM, was customized by utilizing Geospatial Artificial Intelligence to create a local map with three district profiles: high-infection, moderate-infection, and low-infection. Locals of each district will be targeted by the campaign based on the level of infection in their district as well as other shared characteristics. Customizing health messages is very prominent in health communication research. This research provides a legitimate approach to customize health messages during the pandemic of COVID-19.

The Oxford Handbook of Ethics of AI

2020 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Rapid Development ◽  
Data Driven ◽  
International Human Rights Law ◽  
Human Knowledge ◽  
Human Rights Law ◽  
Ai Ethics ◽  
And Behavior ◽  
Control Complex

This book explores the intertwining domains of artificial intelligence (AI) and ethics—two highly divergent fields which at first seem to have nothing to do with one another. AI is a collection of computational methods for studying human knowledge, learning, and behavior, including by building agents able to know, learn, and behave. Ethics is a body of human knowledge—far from completely understood—that helps agents (humans today, but perhaps eventually robots and other AIs) decide how they and others should behave. Despite these differences, however, the rapid development in AI technology today has led to a growing number of ethical issues in a multitude of fields, ranging from disciplines as far-reaching as international human rights law to issues as intimate as personal identity and sexuality. In fact, the number and variety of topics in this volume illustrate the width, diversity of content, and at times exasperating vagueness of the boundaries of “AI Ethics” as a domain of inquiry. Within this discourse, the book points to the capacity of sociotechnical systems that utilize data-driven algorithms to classify, to make decisions, and to control complex systems. Given the wide-reaching and often intimate impact these AI systems have on daily human lives, this volume attempts to address the increasingly complicated relations between humanity and artificial intelligence. It considers not only how humanity must conduct themselves toward AI but also how AI must behave toward humanity.

scholarly journals COVID-19 Psychological Impact on Health Care Workers in Saudi Arabia

2021 ◽  
Vol 18 (11) ◽  
pp. 6076
Author(s):  
Hasan S. Alamri ◽  
Wesam F. Mousa ◽  
Abdullah Algarni ◽  
Shehata F. Megahid ◽  
Ali Al Bshabshe ◽  
...  
Keyword(s):  
Health Care ◽  
Saudi Arabia ◽  
Health Care Workers ◽  
Psychological Impact ◽  
Psychological Outcomes ◽  
Cross Sectional Survey ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Care Workers ◽  
The Impact

Objective: Little is known about the impact of Coronavirus (COVID-19) among the health care workers in Saudi Arabia. Therefore, the present study aimed to assess the psychological impact of COVID-19 among the health care workers. Methods: A cross-sectional survey was conducted from May till mid-July among 389 health care workers from government and private hospitals in Saudi Arabia. Data was collected using a pre-structured online questionnaire that measured adverse psychological outcomes, including the Patient Health Questionnaire-9 (PHQ-9) scale and the Generalized Anxiety Disorder 7-item (GAD-7) scale. The Pearson chi-square test was used to assess the distribution of depression and anxiety among health care workers. Results: A high level of anxiety was recorded among the health care workers, and 69.3% of health care workers below the age of 40 were found to have depression. There was a significant increase in depression among staff with chronic health problems (72.1% vs. 61.9%; p = 0.048). High anxiety levels were detected among young staff compared to others (68.7% vs. 43.8%; p = 0.001). Moreover, 82.1% of the female staff were anxious, as compared to 55.6% of the males (p = 0.001). Conclusions: We found increased prevalence of adverse psychological outcomes among the health care workers in Saudi Arabia during the outbreak of COVID-19. Therefore, there is a need for proper screening and development of corresponding preventive measures to decrease the adverse psychological outcomes.

scholarly journals Assessment of Saudi Parents’ Beliefs and Behaviors towards Management of Child Fever in Saudi Arabia—A Cross-Sectional Study

2021 ◽  
Vol 18 (10) ◽  
pp. 5217
Author(s):  
Mohamed N. Al Arifi ◽  
Abdulrahman Alwhaibi
Keyword(s):  
Saudi Arabia ◽  
Side Effects ◽  
Febrile Seizures ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Inclusion Criteria ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Electronic Thermometer ◽  
And Behavior

Objective: Fever alone can lead to rare serious complications in children, such as febrile seizures. The aim of this study is to assess the knowledge, beliefs, and behavior of parents toward fever and its management. Methods: A cross-sectional study using an online questionnaire was applied over a period of 3 months, from January to March 2018, to parents who were living in Saudi Arabia. The inclusion criteria were a parent who is a resident of Saudi Arabia, with at least one child aged 6 years or less, while incomplete questionnaires, having a child aged more than 6 years, or parents who were not living in Saudi Arabia were excluded. Results: A total of 656 parents completed the questionnaire. More than two-thirds of the subjects were female, the majority of whom were aged between 25–33 years old. The best-reported place to measure the temperature of children was the armpit (46%), followed by the ear (28%) and the mouth (10.7%). More than half of the parents considered their children feverish at a temperature of 38 °C. The majority of parents (79.7%) reported that the most serious side effects of fever were seizure, brain damage (39.3%), coma (29.9%), dehydration (29.7%), and death (25%). The most common method used to measure a child’s temperature was an electronic thermometer (62.3%). The most common antipyretic was paracetamol (84.5%). Conclusions: Our study demonstrates the good knowledge of parents in identifying a feverish temperature using the recommended route and tools for measuring body temperature.

scholarly journals The Level of Lymphedema Awareness among Women with Breast Cancer in the Kingdom of Saudi Arabia

2021 ◽  
Vol 18 (2) ◽  
pp. 627
Author(s):  
Fatmah Alsharif ◽  
Wedad Almutairi ◽  
Faygah Shibily ◽  
Fatmah Alhothari ◽  
Fidaa Batwa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Saudi Arabia ◽  
Soft Tissues ◽  
Demographic Data ◽  
Medical Team ◽  
Online Questionnaire ◽  
Kingdom Of Saudi Arabia ◽  
Cross Sectional ◽  
Convenience Sample ◽  
The Status

Background: Lymphedema is a condition in which excessive fluid accumulates in soft tissues. It is a common complication of breast cancer treatments. It can lead to serious consequences and interfere with the activity of daily living. This study aimed to determine the level of awareness of breast-cancer-related lymphedema (BCRL) among women with breast cancer in the Kingdom of Saudi Arabia. This was a descriptive quantitative cross-sectional design that included a convenience sample of women diagnosed with breast cancer in the Kingdom of Saudi Arabia. Data were collected by distributing a self-administrated online questionnaire consisting of four parts, including demographic data (five items), the status of education about BCRL (three items), basic medical history of breast cancer (six items), and BCRL level of awareness of risk factors and management (nine items). Results: In total, 95 out of 135 of participants did not know about lymphedema, 119 of the participants (88.1%) did not receive any explanation about the possibility of lymphedema from their medical team before surgery, and 121 of them (89.6%) did not receive it after surgery. The most significant factor affecting participants’ level of awareness regarding BCRL was the lack of information about the possibility of BCRL occurrence, which was not provided to them by the medical team. Recommendation: Early and continuous education for future management is essential to prevent problems related to BCRL and improve quality of life.

scholarly journals Perioperative nutrition care and dietetic practices in the scope of bariatric surgery in Saudi Arabia using adapted protocols for evaluation

2021 ◽  
Vol 9 ◽  
pp. 205031212110361
Author(s):  
Elham Abbas Aljaaly
Keyword(s):  
Bariatric Surgery ◽  
Saudi Arabia ◽  
Care Process ◽  
Cross Sectional Survey ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Nutrition Risk ◽  
Nutrition Care ◽  
Management Protocol ◽  
Perioperative Nutrition

Objectives: This study evaluates the availability of perioperative nutritional care protocols and the practices of bariatric registered dietitians in Saudi Arabia. The primary outcomes of the study were conducted using an adapted American survey “with permission.” Methods: A cross-sectional survey of a selected 32 dietitians providing bariatric services completed a self-administered online questionnaire from 12 hospitals in Jeddah, Saudi Arabia. Results: All surveyed dietitians were females, mainly Saudi nationals (93.9%, n = 30), and accredited by the Saudi Commission for Health Specialties (93.8%, n = 30). Only 37.5% (n = 6) of the dietitians were specialized in bariatric surgery. Perioperative common practices of dietitians included a conduct of screening for nutrition risk before (44%, n = 14) and after surgery (62.5%, n = 20) and applied a nutrition management protocol that is mainly based on the application of nutrition care process (62.5%, n = 20). Dietitians (81%, n = 26) reported the importance of having standardized protocols for nutritional management of patients undoing bariatric surgery, where 69% (n = 22) confirmed the availability of pre-operative written protocols in hospitals and 75% (n = 24) confirmed the existence of post-operative protocols. Pre-operative practices included using approaches for weight loss before surgery, for example, very low and low-calorie diet. Dietitians (25%, n = 8) see two to ten patients per month. The sleeve gastrectomy procedure is the most often performed surgery. Conclusion: This is the first study to evaluate the perioperative nutrition care protocols and practices related to bariatric surgery in Saudi Arabia. Perioperative bariatric protocols are available, but some dietitians are not aware of their availability and contents. Researchers emphasize the importance of creating national protocols by the Saudi Credentials Body to standardize practices within the field.

scholarly journals Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 834
Author(s):  
Magbool Alelyani ◽  
Sultan Alamri ◽  
Mohammed S. Alqahtani ◽  
Alamin Musa ◽  
Hajar Almater ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Vital Role ◽  
Human Machine Interaction ◽  
The Future ◽  
Level Of Knowledge ◽  
Electronic Questionnaires ◽  
Machine Interaction ◽  
Applications Of Ai

Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development of computer systems able to perform tasks normally requiring human intelligence. The aim of this study is to assess the radiology community’s attitude in Saudi Arabia toward the applications of AI. Methods: Data for this study were collected using electronic questionnaires in 2019 and 2020. The study included a total of 714 participants. Data analysis was performed using SPSS Statistics (version 25). Results: The majority of the participants (61.2%) had read or heard about the role of AI in radiology. We also found that radiologists had statistically different responses and tended to read more about AI compared to all other specialists. In addition, 82% of the participants thought that AI must be included in the curriculum of medical and allied health colleges, and 86% of the participants agreed that AI would be essential in the future. Even though human–machine interaction was considered to be one of the most important skills in the future, 89% of the participants thought that it would never replace radiologists. Conclusion: Because AI plays a vital role in radiology, it is important to ensure that radiologists and radiographers have at least a minimum understanding of the technology. Our finding shows an acceptable level of knowledge regarding AI technology and that AI applications should be included in the curriculum of the medical and health sciences colleges.

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