Knowledge, Attitude, and Practice (KAP) Regarding the Use of Artificial Intelligence in Hospital Settings in Mardan, Khyber Pakhtunkhwa, Pakistan DOI Open Access
Faizan Sadiq, Fouzia Sadiq, Rukhsana Gul

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

Background Artificial intelligence (AI) is revolutionizing healthcare globally by enhancing diagnostic accuracy, predicting patient outcomes, and enabling personalized treatment plans. However, in low- middle-income countries (LMICs) like Pakistan, the integration of AI into limited due to challenges such as lack funding, provider resistance, inadequate training. Despite these barriers, there growing interest among providers understanding adopting technologies improve professional efficiency. Objective To determine knowledge, attitude, practice (KAP) regarding use artificial doctors a hospital setting. Method This cross-sectional study was conducted at Mardan Medical Complex, Mardan, from January 2023 March 2023. A total 150 various departments participated completing validated questionnaire designed assess their KAP AI. The questionnaire, consisting nine close-ended questions, specifically distributed participants through social media applications, including WhatsApp (California, USA) email, maximize accessibility. It included structured questions rated on Likert scales quantify levels practice. Participants were also asked about exposure AI-related training or work. Descriptive analysis performed frequency percentage responses. Results mean ± SD age this 36.95 8.58 years. Male 72.66%, while 27.33% females. response showed that majority (66%) knew term AI; however, they unsure its healthcare. (67.33%) had positive thoughts possibility using health management. Importantly, (72.66%) never chance do any work lives. assessment medium level knowledge (36.66%), high attitude (57.55%), low (65.66%) Conclusions These results conclude AI's clinical low; have applying

Language: Английский

Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study DOI Creative Commons

Xiaoyan Wang,

Fangqin Fei, Jiawen Wei

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: July 2, 2024

The application of artificial intelligence (AI) in healthcare is an important public health issue. However, few studies have investigated the perceptions and attitudes professionals toward its applications nursing. This study aimed to explore knowledge, attitudes, concerns professionals, AI-related others China AI

Language: Английский

Citations

13
Exploring Nursing Students' Attitudes and Readiness for Artificial Intelligence: A Cross-Sectional Study DOI
Turgay Yalcinkaya, Eda Ergın, Şebnem Çınar Yücel

et al.

Teaching and learning in nursing, Journal Year: 2024, Volume and Issue: 19(4), P. e722 - e728

Published: Aug. 2, 2024

Language: Английский

Citations

9
Knowledge, attitudes, and perceptions of a group of Egyptian dental students toward artificial intelligence: a cross-sectional study DOI Creative Commons

Marwa Elchaghaby,

Reem Wahby

BMC Oral Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 3, 2025

Language: Английский

Citations

1
Application of artificial intelligence in nursing practice: a qualitative study of Jordanian nurses’ perspectives DOI Creative Commons
Wesam T. Almagharbeh,

Hazem AbdulKareem Alfanash,

Khaldoon Aied Alnawafleh

et al.

BMC Nursing, Journal Year: 2025, Volume and Issue: 24(1)

Published: Jan. 25, 2025

Language: Английский

Citations

1
Using ChatGPT for medical education: the technical perspective DOI Creative Commons

Kwai Yu Winnie Chan,

Tsz Hon Yuen, Michael Co

et al.

BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 7, 2025

The chatbot application Bennie and the Chats was introduced due to outbreak of COVID-19, which is aimed provide substitution for teaching conventional clinical history-taking skills. It implemented with DialogFlow preset responses, consists a large constraint on responding different conversations. rapid advancement artificial intelligence, such as recent introduction ChatGPT, offers innovative conversational experiences computer-generated responses. provides an idea develop second generation Chats. As epidemic slows, it can become assisting tool students additional exercise. In this work, we present room flexible expandable improvement. objective research examine influence newly proposed learning efficacy in bedside teaching, its potential contributions international collaboration. This study employs mixed-method design that incorporates both quantitative qualitative approaches. From approach, launched world's first cross-territory virtual our conducted survey between University Hong Kong (HKU) National Singapore (NUS). Descriptive statistics Spearman's Correlation were applied data analysis. comparative analysis two versions chatbot. And, discuss interrelationship results. For result, collected questionnaire from 45 about evaluation territories. Over 75% agreed enhance effectiveness experience. Moreover, by exchanging patients cases, 82.2% helps gain more diseases may not be prevalent their own locality. new better usability flexibility. Virtual chatbots has revolutionized advantages allowing collaborations. We believe training history taking skills will feasible supplementary teaching.

Language: Английский

Citations

1
Perceptions and attitudes of health science students relating to artificial intelligence (AI): A scoping review DOI Creative Commons

Shokoufeh Derakhshanian,

Lucy Wood, Elio Arruzza

et al.

Health Science Reports, Journal Year: 2024, Volume and Issue: 7(8)

Published: Aug. 1, 2024

The recent integration of artificial intelligence (AI) across education, research, and clinical healthcare has led to a growing interest in AI training for students. This scoping review seeks delve into existing literature, aiming evaluate the perceptions attitudes, health science students toward implementation their field.

Language: Английский

Citations

5
Attitudes and perceptions of Thai medical students regarding artificial intelligence in radiology and medicine DOI Creative Commons
Salita Angkurawaranon, Nakarin Inmutto,

Kittipitch Bannangkoon

et al.

BMC Medical Education, Journal Year: 2024, Volume and Issue: 24(1)

Published: Oct. 22, 2024

Abstract Introduction Artificial Intelligence (AI) has made a profound impact on the medical sector, particularly in radiology. The integration of AI knowledge into education is essential to equip future healthcare professionals with skills needed effectively leverage these advancements their practices. Despite its significance, many schools have yet incorporate curricula. This study aims assess attitudes students Thailand toward and application radiology, objective better planning for inclusion. Methods Between February June 2022, we conducted survey two Thai schools: Chiang Mai University Northern Prince Songkla Southern Thailand. We employed 5-point Likert scale questions (ranging from strongly agree disagree) evaluate students’ opinions three main aspects: (1) understanding AI, (2) inclusion education, (3) potential medicine Results Our findings revealed that merely 31% perceived basic AI. Nevertheless, nearly all (93.6%) recognized value training careers advocated school curriculum. Furthermore, those who had were more likely believe would revolutionize field radiology ( p = 0.02), making it captivating impactful 0.04). Conclusion highlights noticeable gap among practical applications healthcare. However, overwhelming consensus readiness embrace incorporation education. enthusiasm holds promise enhancing adoption, ultimately leading an improvement standard services Thailand, aligning country’s vision.

Language: Английский

Citations

4
Healthcare Workers' Knowledge and Attitudes Regarding Artificial Intelligence Adoption in Healthcare: A Cross-sectional Study DOI Creative Commons
Moustaq Karim Khan Rony, Khadiza Akter,

Latifun Nesa

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40775 - e40775

Published: Nov. 29, 2024

Language: Английский

Citations

4
The Role of Artificial Intelligence Literacy and Innovation Mindset in Shaping Nursing Students' Career and Talent Self-Efficacy DOI

Boshra El-Sayed,

Ahmed Abdelwahab Ibrahim El‐Sayed, Samira Ahmed Alsenany

et al.

Nurse Education in Practice, Journal Year: 2024, Volume and Issue: 82, P. 104208 - 104208

Published: Dec. 1, 2024

Language: Английский

Citations

4
Gender and Age Dynamics in Future Educators' Attitudes toward AI Integration in Education: A Sample from State-managed Universities in Zamboanga Peninsula, Philippines DOI Creative Commons
Keir Balasa, Alexandhrea Hiedie Dumagay, Ericson O. Alieto

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 4, P. 668 - 668

Published: Feb. 18, 2025

Gender and age are critical factors in understanding attitudes toward artificial intelligence (AI) education, yet limited research has directly explored their influence on teacher aspirants’ perspectives AI integration. This study employed random sampling to select 603 respondents from two state-managed institutions. Findings indicate that prospective teachers generally hold neutral (M=2.84), reflecting uncertainty about preferring over human interaction routine tasks, consistent with prior research. Male (M=2.91) exhibited significantly more positive education than females, as evidenced by a t value of -2.66 p 0.008. Additionally, adults (M=2.86) demonstrated higher attitude scores adolescents (M=2.80), -2.05 0.040. These results highlight the role demographic variables shaping perceptions educational contexts, emphasizing need for targeted interventions address concerns optimize adoption training programs.

Language: Английский

Citations

0