Attitudes of medical workers in China toward artificial intelligence in ophthalmology: a comparative survey

Abstract Background In the development of artificial intelligence in ophthalmology, the ophthalmic AI-related recognition issues are prominent, but there is a lack of research into people’s familiarity with and their attitudes toward ophthalmic AI. This survey aims to assess medical workers’ and other professional technicians’ familiarity with, attitudes toward, and concerns about AI in ophthalmology. Methods This is a cross-sectional study design study. An electronic questionnaire was designed through the app Questionnaire Star, and was sent to respondents through WeChat, China’s version of Facebook or WhatsApp. The participation was voluntary and anonymous. The questionnaire consisted of four parts, namely the respondents’ background, their basic understanding of AI, their attitudes toward AI, and their concerns about AI. A total of 562 respondents were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form. Results There were 291 medical workers and 271 other professional technicians completed the questionnaire. About 1/3 of the respondents understood AI and ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.6 % and 15.6 %, respectively. About 66.0 % of the respondents thought that AI in ophthalmology would partly replace doctors, about 59.07 % having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with AI in ophthalmology application experiences (30.6 %), above 70 % of respondents held a full acceptance attitude toward AI in ophthalmology. The respondents expressed medical ethics concerns about AI in ophthalmology. And among the respondents who understood AI in ophthalmology, almost all the people said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field. Conclusions The survey results revealed that the medical workers had a higher understanding level of AI in ophthalmology than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the respondents did not have any experience in ophthalmic AI but generally had a relatively high acceptance level of AI in ophthalmology, and there was a need to strengthen research into medical ethics issues.

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Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey

10.21203/rs.3.rs-195130/v1 ◽

2021 ◽

Author(s):

Bo Zheng ◽

Maonian Wu ◽

Shaojun Zhu ◽

Hongxia Zhou ◽

Xiulan Hao ◽

...

Keyword(s):

Artificial Intelligence ◽

Medical Ethics ◽

Acceptance Level ◽

Electronic Questionnaire ◽

The People ◽

Basic Understanding ◽

Survey Results ◽

Comparative Survey ◽

Almost All

Abstract Background: In the development of artificial intelligence in ophthalmology, the ophthalmic AI-related recognition issues are prominent, but there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. This survey aims to assess medical workers’ and other professional technicians’ familiarity with, attitudes toward, and concerns about AI in ophthalmology.Methods: An electronic questionnaire was designed through the app Questionnaire Star, and was sent to participants through WeChat, China’s version of Facebook or WhatsApp. The participation was voluntary and anonymous. The questionnaire consisted of four parts, namely the participant’s background, their basic understanding of AI, their attitudes toward AI, and their concerns about AI. A total of 562 participants were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form.Results: A total of 562 participants completed the questionnaire, of whom 291 were medical workers and 271 were other professional technicians. About 1/3 of the participants understood AI and ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.61% and 15.6%, respectively. About 66.01% of the participants thought that AI in ophthalmology would partly replace doctors, with about 59.07% still having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with AI in ophthalmology application experiences (30.6%), above 70% of participants held a full acceptance attitude toward AI in ophthalmology. The participants expressed medical ethics concerns about AI in ophthalmology. And among the participants who understood AI in ophthalmology, almost all the people said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field.Conclusions: The survey results revealed that the medical workers had a higher understanding level of AI in ophthalmology than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the participants did not have any experience in ophthalmic AI but generally had a relatively high acceptance level of AI in ophthalmology, and there was a need to strengthen research into medical ethics issues of the field.

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Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey (Preprint)

10.2196/preprints.18107 ◽

2020 ◽

Author(s):

Weihua Yang ◽

Bo Zheng ◽

Maonian Wu ◽

Shaojun Zhu ◽

Hongxia Zhou ◽

...

Keyword(s):

Artificial Intelligence ◽

Medical Ethics ◽

Online Survey ◽

Medical Professionals ◽

Medical Field ◽

Acceptance Level ◽

Professional Workers ◽

Basic Understanding ◽

Comparative Survey ◽

Definition Of

BACKGROUND Artificial intelligence (AI) is widely applied in the medical field, especially in ophthalmology. In the development of ophthalmic artificial intelligence, some problems worthy of attention have gradually emerged, among which the ophthalmic AI-related recognition issues are particularly prominent. That is to say, currently, there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. OBJECTIVE This survey aims to assess medical workers’ and other professional technicians’ familiarity with AI, as well as their attitudes toward and concerns of ophthalmic AI. METHODS An electronic questionnaire was designed through the Questionnaire Star APP, an online survey software and questionnaire tool, and was sent to relevant professional workers through Wechat, China’s version of Facebook or WhatsApp. The participation was based on a voluntary and anonymous principle. The questionnaire mainly consisted of four parts, namely the participant’s background, the participant's basic understanding of AI, the participant's attitude toward AI, and the participant's concerns about AI. A total of 562 participants were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form. RESULTS A total of 562 professional workers completed the questionnaire, of whom 291 were medical workers and 271 were other professional technicians. About 37.9% of the participants understood AI, and 31.67% understood ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.61% and 15.6%, respectively. About 66.01% of the participants thought that ophthalmic AI would partly replace doctors, with about 59.07% still having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with ophthalmic AI application experiences (30.6%), respectively about 84.25% of medical professionals and 73.33% of other professional technicians held a full acceptance attitude toward ophthalmic AI. The participants expressed concerns that ophthalmic AI might bring about issues such as the unclear definition of medical responsibilities, the difficulty of ensuring service quality, and the medical ethics risks. And among the medical workers and other professional technicians who understood ophthalmic AI, 98.39%, and 95.24%, respectively, said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field. CONCLUSIONS Analysis of the questionnaire results shows that the medical workers have a higher understanding level of ophthalmic AI than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the participants did not have any experience in ophthalmic AI, but generally had a relatively high acceptance level of ophthalmic AI, believing that doctors would partly be replaced by it and that there was a need to strengthen research into medical ethics issues of the field.

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The perceived impression of public on genetic engineering

Northern International Medical College Journal ◽

10.3329/nimcj.v6i1.23159 ◽

2015 ◽

Vol 6 (1) ◽

pp. 32-35 ◽

Cited By ~ 1

Author(s):

Saba Islam ◽

Saad Islam

Keyword(s):

Genetic Engineering ◽

Cross Sectional Study ◽

Hereditary Diseases ◽

Cross Sectional ◽

Mental Attitude ◽

Medicine Research ◽

Medical College ◽

Food And Agriculture ◽

The People ◽

Survey Results

Genetic engineering (GE) - also known as genetic modification (GM), is the direct manipulation of an organism's genome using biotechnology. The field of genetic engineering deals with different kinds of alterations done on plants, animals and microorganisms and it has many applications in different sectors such as medicine, research, industry and agriculture. As GM plays an important role on food and agriculture, treatment of hereditary diseases, waste decomposition - all of which affects our lives, it concerns the geneticists and the general people alike.Objectives: The perceived impression of the mass population on Genetic engineering and analyzing how much it is accepted in todays society.Methodology: This descriptive cross sectional study was conducted from July to December 2013. Structured questionnaire was used to collect data from the concerned public around the world by using the site http://kwiksurveys.com/. [Link to this survey Results: Globally 67 people took the survey through web site and all of the participants were above 18 years of age and consisted of people who had little (53.73%) or no knowledge on GE (2.99%) and also people who were aware (31.34%) or had a deep knowledge (11.94%) of it. In this study 32.35% of people found the modification of genes Unethical but necessary and 30.88% of people found it Ethical and very useful. This showed that the majority of the people had accepted GE. When used for a good cause GE is morally acceptable to people (73.13%)Conclusion: This research has provided us a brief idea about the mental mental attitude or psychology of the respondents regarding the acceptance of GE in the society. This study showed that majority of the people belief GE will be beneficial some are still against it.Northern International Medical College Journal Vol.6(1) 2014: 32-35

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Are rural adults happy? An observational study of happiness and its determinants

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20173328 ◽

2017 ◽

Vol 4 (8) ◽

pp. 2810

Author(s):

Chythra R. Rao ◽

Shashi J. Soans ◽

Zari Anjum ◽

Muthu Kumar ◽

Asha Kamath ◽

...

Keyword(s):

Family Members ◽

Cross Sectional Study ◽

Health Determinants ◽

Cross Sectional ◽

The People ◽

Field Practice ◽

Almost All ◽

Permanent Residents ◽

Rural Adults

Background: Happiness has been defined as the degree to which an individual judges the overall quality of his or her life as favourable. The happiness of a society, depends on its individual members. So, the study was designed to assess happiness among rural adults and to identify various socio- demographic, family and health determinants affecting happiness.Methods: It was a cross sectional study conducted in the field practice area of Department of Community Medicine, KMC Manipal. The study included 403 permanent residents of field practice area, aged ≥20 years, of both gender and willing to participate in the study. Information pertaining to socio-demographic characteristics, details pertaining to co-morbidities, habits and family particulars were collected by personal interviews using a pre-designed questionnaire. Happiness was assessed using the Oxford happiness questionnaire.Results: A total of 403 subjects participated in the study and among them 82% of the respondents were happy and 17.6% were unhappy, as per the Oxford happiness questionnaire. Over half of the participants belonged to 30-60 years and two-thirds were females (66.5%). There was no gender difference in reported happiness. Almost all the people who had cordial relationship with family members (99.1%) and neighbourhood (97.9%), owning a house (94%) and being without co-morbidities (56%) were happy. Past hospitalization, concerns about child marriage and employment made people less happy.Conclusions: Good relationship with family members and neighbourhood, absence of co-morbidities was positive determinants of happiness, while hospitalization, concerns about employment and marriage of their children contributed to unhappiness.

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Prevalence and Factors Associated with Health Services Utilization of Sindhupalchowk District, Nepal

Nepal Medical Journal ◽

10.37080/nmj.80 ◽

2020 ◽

Vol 3 (1) ◽

pp. 19-25

Author(s):

Nilam Tamang ◽

Swechhya Baskota ◽

Prajita Mali ◽

Saru Paudel ◽

Lumnima Shrestha ◽

...

Keyword(s):

Health Services ◽

Cross Sectional Study ◽

Traditional Healers ◽

Walking Distance ◽

Cross Sectional ◽

Traditional Health ◽

The People ◽

Ethical Approval ◽

Socio Demographic Factors ◽

Almost All

Introduction: In Nepal, preference of health service for treatment is different for different people, which is affected by their level of knowledge , socio-demographic factors and so on. The objective of this study was to find the first preference of health services of the people for the treatment of their illness andfactors affecting their preference. Methods: A descriptive cross-sectional study was conducted among 260 respondents of Maneswora Ward, Sindhupalchowk district which was selected through systematic random sampling. Data collection was done after taking ethical approval. Face-to-face interview was done to collect the data through semi- structured questionnaire. Data was entered and analyzed in SPSS v16. Results: One-third (36.9%) of the respondents were found to be visiting the traditional health services and more than half (63.1%) of the respondents visited modern health services. Education (0.016), duration of stay (0.014), type of disease (<0.001), distance to the health services (<0.001), modes of transportation (<0.001), affordability (0.013), waiting time (<0.001) and availability of health care provider (<0.001) demonstrated association with utilization of health services at 95% level of confidence (p<0.05). Conclusions: Despite of modern health facilities available within walking distance, still people prefer to go to the traditional healers for almost all the health problems at first hand with firm belief that they cure it. Hence, government still lacks effective programs to attract people towards modern health services to some extent. Hence, the awareness campaign regarding the benefits of modern health services should be initiated.

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Assessment of Knowledge, Attitude and Practice (KAP) on Human and Bovine Tuberculosis Among Cattle Owners in Ethiopia

10.21203/rs.3.rs-34849/v1 ◽

2020 ◽

Author(s):

Amare Bihon ◽

Solomon Zinabu ◽

Yimer Muktar ◽

Ayalew Assefa

Keyword(s):

Bovine Tuberculosis ◽

Cross Sectional Study ◽

Cross Sectional ◽

Animal Products ◽

Face To Face ◽

Attitude And Practice ◽

The People ◽

Route Of Transmission ◽

Almost All ◽

Knowledge Attitude And Practice

Abstract Background: Tuberculosis (TB) is a re-emerging disease occurring worldwide and causing multi-billion-dollar loss and human death annually. The situation is worse in developing countries like Ethiopia, where lower knowledge, attitude, and practice (KAP) of the people is imminent. Methods: A questionnaire-based cross-sectional study was conducted. A total of 349 study participants were addressed through face to face interview. Descriptive statistics and Pearson’s chi-squares analysis were used to observe the data and the association between outcome (KAP) and predictor variables. Results: Out of the 349 respondents interviewed, 223 (63.9%) of them were males, while 126 (36.1%) were females. The KAP measuring interview indicated that almost all (97.4%) of the participants know human tuberculosis, while 84(24.1%) are aware of bovine tuberculosis cause and mode of transmission. Inhalation was reported as a common route of transmission for human TB (41.1%). In contrast, 50% of the respondent mentioned inhalation, contact, and ingestion of raw animal products as the main route of TB transmission from animal to human. Among those who have heard of bTB, only 56 (66.7%) of respondents consider bovine tuberculosis as a significant threat to public health. Conclusion: The study showed that there is a lower KAP on bovine TB among cattle owners. Therefore, community awareness promotion and health education on human and bovine TB should be operated under a “One Health” umbrella.

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Comparison of predicted psychological distress among workers between artificial intelligence and psychiatrists: a cross-sectional study in Tsukuba Science City, Japan

BMJ Open ◽

10.1136/bmjopen-2020-046265 ◽

2021 ◽

Vol 11 (6) ◽

pp. e046265

Author(s):

Shotaro Doki ◽

Shinichiro Sasahara ◽

Daisuke Hori ◽

Yuichi Oi ◽

Tsukasa Takahashi ◽

...

Keyword(s):

Neural Network ◽

Artificial Intelligence ◽

Psychological Distress ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Explanatory Variables ◽

The Neural Network ◽

Significant Difference ◽

Total Data

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.

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How Knowledge about Stem Cells Influences Attitudes towards Breastfeeding: Case Study of Polish Women

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18052382 ◽

2021 ◽

Vol 18 (5) ◽

pp. 2382

Author(s):

Malgorzata Witkowska-Zimny ◽

Dorota Majczyna

Keyword(s):

Stem Cells ◽

Breast Milk ◽

Pregnant Women ◽

Cross Sectional Study ◽

General Knowledge ◽

Cross Sectional ◽

Maternal Experience ◽

Positive Attitudes ◽

Survey Results ◽

University Degree

Maternal breastfeeding is associated with multiple health benefits, both for the child and the mother. Since breastfeeding rates are declining, finding new, future-oriented strategies to strengthen and support mothers’ positive attitudes towards breastfeeding need to be developed. In this paper, we describe how information about the presence of stem cells in breast milk can influence the willingness to breastfeed in the population of Polish pregnant women. A cross-sectional study involving a group of 150 pregnant women was conducted to assess the correlation between their knowledge about stem cells and their attitude towards breastfeeding. Among the respondents, only 6% claimed that they did not know anything about stem cells, but general knowledge about stem cells in the research group was poor. The survey results indicated that city residence, university degree, maternal experience and advanced pregnancy correlated with higher general knowledge regarding stem cells. Most respondents (77.3%) had no knowledge regarding the presence of stem cells in breast milk. Approximately two-thirds of mothers with earlier negative breastfeeding experience declared that information about the presence of stem cells in breast milk could have influenced the decision to continue and extend the time of breastfeeding. Hence highlighting the presence of stem cells in breast milk can be used to encourage breastfeeding as a unique activity.

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Adherence of Healthcare Workers to Saudi Management Guidelines of Heat-Related Illnesses during Hajj Pilgrimage

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18031156 ◽

2021 ◽

Vol 18 (3) ◽

pp. 1156

Author(s):

Yasir Almuzaini ◽

Nour Abdulmalek ◽

Sujoud Ghallab ◽

Abdulaziz Mushi ◽

Yara Yassin ◽

...

Keyword(s):

Medical Staff ◽

Healthcare Workers ◽

Cross Sectional Study ◽

Sectional Study ◽

National Guidelines ◽

Cross Sectional ◽

Management Guidelines ◽

Survey Results ◽

Case Assessment ◽

Hajj Season

Heat-related illnesses (HRIs), such as heatstroke (HS) and heat exhaustion (HE), are common complications during Hajj pilgrims. The Saudi Ministry of Health (MoH) developed guidelines on the management of HRIs to ensure the safety of all pilgrims. This study aimed to assess healthcare workers’ (HCWs) adherence to the updated national guidelines regarding pre-hospital and in-hospital management of HRIs. This was a cross-sectional study using a questionnaire based on the updated HRI management interim guidelines for the Hajj season. Overall, compliance with HE guidelines scored 5.5 out of 10 for basic management and 4.7 out of 10 for advanced management. Medical staff showed an average to above average adherence to pre-hospital HS management, including pre-hospital considerations (7.2), recognition of HS (8.1), case assessment (7.7), stabilizing airway, breathing, and circulation (8.7), and cooling (5). The overall compliance to in-hospital guidelines for HS management were all above average, except for special conditions (4.3). In conclusion, this survey may facilitate the evaluation of the adherence to Saudi HRIs guidelines by comparing annual levels of compliance. These survey results may serve as a tool for the Saudi MoH to develop further recommendations and actions.

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Demonstration of the relationship between MSD and online learning during the COVID-19 pandemic

Journal of Applied Research in Higher Education ◽

10.1108/jarhe-08-2020-0269 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Kochu Therisa Karingada ◽

Michael Sony

Keyword(s):

Online Learning ◽

Undergraduate Students ◽

Online Survey ◽

Cross Sectional Study ◽

The Body ◽

Body Parts ◽

Cross Sectional ◽

Content Type ◽

The Right ◽

Almost All

PurposeThe COVID-19 pandemic lockdown has caught many educational institutions by surprise and warranted an abrupt migration from offline to online learning. This has resulted in an education change, without any time for due consideration, as regards its impact on musculoskeletal disorders (MSD) on students. The purpose of this study is to investigate MSD related to online learning during the COVID-19 pandemic lockdown.Design/methodology/approachA cross-sectional study was conducted on undergraduate students in India. In total, 261 students participated in this online survey.FindingsThe study finds that around 80% of students have reported some symptom in the head, neck and eyes since they started online learning. In total, 58% have reported MSD symptom in the right shoulder and 56% in the right hand fingers. Besides, more than 40 % of students experienced some MSD symptoms, in almost all the body parts studied, due to online learning. Correlation analysis is conducted between time spent on online learning per day and MSD symptoms.Originality/valueThis is the first study conducted on MSD and online learning during COVID-19 pandemic.

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