The Human-AI Frontier: An in-depth exploration of physicians' apprehension and Outlook Towards Artificial Intelligence in gastroenterology healthcare
Introduction: Recent advances in artificial intelligence (AI) have transformed healthcare, offering potential in diagnosis, treatment, and patient management in gastroenterology. Understanding physicians' attitudes towards AI in gastroenterology, especially in Saudi Arabia, is crucial. This stu...
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KeAi Communications Co., Ltd.
2025-10-01
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| Series: | Gastroenterology & Endoscopy |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S294975232500055X |
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| author | Rania Hisham Elfaham Saud Abdulaziz Alnaaim Muazzam Sheriff Maqbul Shireen Hisham Elfaham Ghada Abdulrahman Alharbi Waleed Ali Alshehri Faisal Ali Almahyawi Nawaf Meshal Aljadani Razan Imad Bahkali Arwa Alaa Eldeen Elbahaie Ola Emad Shakrah Mariam Aqeel Alzubaidi Waleed Mohammed Alshehri Essa Sultan Alsultan Aghnar Thabet Adam Alzahrani |
| author_facet | Rania Hisham Elfaham Saud Abdulaziz Alnaaim Muazzam Sheriff Maqbul Shireen Hisham Elfaham Ghada Abdulrahman Alharbi Waleed Ali Alshehri Faisal Ali Almahyawi Nawaf Meshal Aljadani Razan Imad Bahkali Arwa Alaa Eldeen Elbahaie Ola Emad Shakrah Mariam Aqeel Alzubaidi Waleed Mohammed Alshehri Essa Sultan Alsultan Aghnar Thabet Adam Alzahrani |
| author_sort | Rania Hisham Elfaham |
| collection | DOAJ |
| description | Introduction: Recent advances in artificial intelligence (AI) have transformed healthcare, offering potential in diagnosis, treatment, and patient management in gastroenterology. Understanding physicians' attitudes towards AI in gastroenterology, especially in Saudi Arabia, is crucial. This study aims to assess Saudi physicians' awareness, acceptance, and expectations of AI in gastroenterology healthcare, informing strategies for successful integration and improved patient care. Methodology: This cross-sectional study in Saudi Arabia, aimed to explore an in-depth exploration of Physicians' apprehension and outlook towards AI among gastroenterology healthcare professionals. A questionnaire was developed, validated, and administered to a sample of 612 participants from various specialties across the Kingdom. Data collection spanned three months using convenience sampling. Statistical analysis included descriptive and inferential methods, with ethical considerations ensuring participant confidentiality and informed consent. Result: The survey of 612 respondents examined response rates regarding socio-demographic factors, AI adaptation, familiarity with AI tools, perceptions, concerns, and expectations in gastroenterology healthcare. Statistically significant findings included the potential impact of gender (p = 0.052), nationality (p = 0.051), age (p = 0.049), region (p = 0.044), specialty (p = 0.033), years of practice (p = 0.039), and work sector (p = 0.036) on response rates. Similarly, adaptation to AI (p = 0.035), familiarity with AI tools (p = 0.034), perceptions about AI replacing human doctors (p = 0.034), concerns about AI implementation (p ≤ 0.05), and expectations of physicians' roles in AI-driven gastroenterology healthcare (p ≤ 0.05) significantly influenced response rates. These results underscore the multifaceted factors shaping engagement with AI in gastroenterology healthcare surveys, highlighting avenues for further exploration and analysis. Conclusion: The study investigates clinicians' knowledge, attitudes, expectations, and acceptance of AI in gastroenterology healthcare, providing insights into factors influencing engagement with AI, contributing significantly to understanding the complex dynamics surrounding AI in healthcare. |
| format | Article |
| id | doaj-art-5bc9456f02c94debb1c5b02481bcecc1 |
| institution | Kabale University |
| issn | 2949-7523 |
| language | English |
| publishDate | 2025-10-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Gastroenterology & Endoscopy |
| spelling | doaj-art-5bc9456f02c94debb1c5b02481bcecc12025-08-20T03:42:22ZengKeAi Communications Co., Ltd.Gastroenterology & Endoscopy2949-75232025-10-013421122010.1016/j.gande.2025.05.001The Human-AI Frontier: An in-depth exploration of physicians' apprehension and Outlook Towards Artificial Intelligence in gastroenterology healthcareRania Hisham Elfaham0Saud Abdulaziz Alnaaim1Muazzam Sheriff Maqbul2Shireen Hisham Elfaham3Ghada Abdulrahman Alharbi4Waleed Ali Alshehri5Faisal Ali Almahyawi6Nawaf Meshal Aljadani7Razan Imad Bahkali8Arwa Alaa Eldeen Elbahaie9Ola Emad Shakrah10Mariam Aqeel Alzubaidi11Waleed Mohammed Alshehri12Essa Sultan Alsultan13Aghnar Thabet Adam Alzahrani14Department of Medicine, Ibn Sina National College of Medical Studies, Jeddah, Kingdom of Saudi ArabiaCollege of Medicine King Faisal University., Al-Ahsa, Saudi ArabiaDepartment of Microbiology and Immunology, Ibn Sina National College for Medical Studies, Jeddah, Kingdom of Saudi Arabia; Corresponding author. Department of Microbiology and Immunology, Ibn Sina National College for Medical Studies, Jeddah, Kingdom of Saudi Arabia.Department of Medicine, Ibn Sina National College of Medical Studies, Jeddah, Kingdom of Saudi ArabiaCollege of Medicine, Almaarefa University, Riyadh, Kingdom of Saudi ArabiaCollege of Medicine, Taif University, Taif, Kingdom of Saudi ArabiaCollege of Medicine, King Abdulaziz University, Jeddah, Kingdom of Saudi ArabiaDepartment of Pediatrics, King Abdullah Medical Complex, Jeddah, Kingdom of Saudi ArabiaCollege of Medicine, Almaarefa University, Riyadh, Kingdom of Saudi ArabiaDepartment of Medicine, Ibn Sina National College of Medical Studies, Jeddah, Kingdom of Saudi ArabiaDepartment of Medicine, Ibn Sina National College of Medical Studies, Jeddah, Kingdom of Saudi ArabiaDepartment of Medicine, Ibn Sina National College of Medical Studies, Jeddah, Kingdom of Saudi ArabiaDepartment of Ophthalmology, Ohud Hospital, Madinah, Saudi ArabiaCollege of Medicine King Faisal University., Al-Ahsa, Saudi ArabiaCollege of Medicine, Al Baha University, Al Baha, Kingdom of Saudi ArabiaIntroduction: Recent advances in artificial intelligence (AI) have transformed healthcare, offering potential in diagnosis, treatment, and patient management in gastroenterology. Understanding physicians' attitudes towards AI in gastroenterology, especially in Saudi Arabia, is crucial. This study aims to assess Saudi physicians' awareness, acceptance, and expectations of AI in gastroenterology healthcare, informing strategies for successful integration and improved patient care. Methodology: This cross-sectional study in Saudi Arabia, aimed to explore an in-depth exploration of Physicians' apprehension and outlook towards AI among gastroenterology healthcare professionals. A questionnaire was developed, validated, and administered to a sample of 612 participants from various specialties across the Kingdom. Data collection spanned three months using convenience sampling. Statistical analysis included descriptive and inferential methods, with ethical considerations ensuring participant confidentiality and informed consent. Result: The survey of 612 respondents examined response rates regarding socio-demographic factors, AI adaptation, familiarity with AI tools, perceptions, concerns, and expectations in gastroenterology healthcare. Statistically significant findings included the potential impact of gender (p = 0.052), nationality (p = 0.051), age (p = 0.049), region (p = 0.044), specialty (p = 0.033), years of practice (p = 0.039), and work sector (p = 0.036) on response rates. Similarly, adaptation to AI (p = 0.035), familiarity with AI tools (p = 0.034), perceptions about AI replacing human doctors (p = 0.034), concerns about AI implementation (p ≤ 0.05), and expectations of physicians' roles in AI-driven gastroenterology healthcare (p ≤ 0.05) significantly influenced response rates. These results underscore the multifaceted factors shaping engagement with AI in gastroenterology healthcare surveys, highlighting avenues for further exploration and analysis. Conclusion: The study investigates clinicians' knowledge, attitudes, expectations, and acceptance of AI in gastroenterology healthcare, providing insights into factors influencing engagement with AI, contributing significantly to understanding the complex dynamics surrounding AI in healthcare.http://www.sciencedirect.com/science/article/pii/S294975232500055XGastroenterologyEndoscopyArtificial intelligenceKnowledgeAttitudesHealth care |
| spellingShingle | Rania Hisham Elfaham Saud Abdulaziz Alnaaim Muazzam Sheriff Maqbul Shireen Hisham Elfaham Ghada Abdulrahman Alharbi Waleed Ali Alshehri Faisal Ali Almahyawi Nawaf Meshal Aljadani Razan Imad Bahkali Arwa Alaa Eldeen Elbahaie Ola Emad Shakrah Mariam Aqeel Alzubaidi Waleed Mohammed Alshehri Essa Sultan Alsultan Aghnar Thabet Adam Alzahrani The Human-AI Frontier: An in-depth exploration of physicians' apprehension and Outlook Towards Artificial Intelligence in gastroenterology healthcare Gastroenterology & Endoscopy Gastroenterology Endoscopy Artificial intelligence Knowledge Attitudes Health care |
| title | The Human-AI Frontier: An in-depth exploration of physicians' apprehension and Outlook Towards Artificial Intelligence in gastroenterology healthcare |
| title_full | The Human-AI Frontier: An in-depth exploration of physicians' apprehension and Outlook Towards Artificial Intelligence in gastroenterology healthcare |
| title_fullStr | The Human-AI Frontier: An in-depth exploration of physicians' apprehension and Outlook Towards Artificial Intelligence in gastroenterology healthcare |
| title_full_unstemmed | The Human-AI Frontier: An in-depth exploration of physicians' apprehension and Outlook Towards Artificial Intelligence in gastroenterology healthcare |
| title_short | The Human-AI Frontier: An in-depth exploration of physicians' apprehension and Outlook Towards Artificial Intelligence in gastroenterology healthcare |
| title_sort | human ai frontier an in depth exploration of physicians apprehension and outlook towards artificial intelligence in gastroenterology healthcare |
| topic | Gastroenterology Endoscopy Artificial intelligence Knowledge Attitudes Health care |
| url | http://www.sciencedirect.com/science/article/pii/S294975232500055X |
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