Assessment of knowledge, attitude, and practice regarding artificial intelligence in histopathology: A cross-sectional study among oral pathologists in India

M. Indu, V. Shankar, L. Cherian, R. Krishna, Sabu Paul, P. Sathyan
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Abstract

Introduction: The era of artificial intelligence (AI) has dawned, and its influence on different aspects of our lives is now tremendously evident. The introduction of whole slide imaging in digital pathology has changed the face of histopathology (HP) and is in the process of paving a smooth platform towards the far-reaching telepathology. Aim: The present study was aimed to evaluate the knowledge, attitude, and practice (KAP) of Oral Pathologists (OPs) in India regarding the incorporation of AI in diagnostic HP. Materials and Methods: This cross-sectional study was conducted among OPs across India. A structured online questionnaire comprising 27 questions was sent to each participant through email and social media platforms and responses were collected and analyzed. The relationship between demographic variables and good KAP was analyzed using Chi-square and Fisher's exact test. Results and Discussion: One hundred and seventy-one OPs participated in the study, with 8.8% having good knowledge, 70.2% having a positive attitude, and only 4.1% using AI in diagnostic HP. Knowledge regarding AI in pathology increased in a statistically significant way (P = 0.001) with respect to years of experience. 43.9% of OPs expect AI to be integrated into HP in India over the next ten years. Conclusion: OPs in India have a positive attitude towards the incorporation of AI in their pathology practice. Vital measures to enable the integration of AI into diagnostic HP and to improve its awareness are an absolute requisite in our scenario.
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组织病理学中关于人工智能的知识、态度和实践评估:印度口腔病理学家的横断面研究
导读:人工智能(AI)的时代已经到来,它对我们生活的各个方面的影响现在非常明显。全切片成像技术在数字病理学中的应用改变了组织病理学(HP)的面貌,并为深入的心灵病理学铺平了平坦的平台。目的:本研究旨在评估印度口腔病理学家(OPs)关于将人工智能纳入HP诊断的知识、态度和实践(KAP)。材料和方法:本横断面研究在印度各地的OPs中进行。一份包含27个问题的结构化在线问卷通过电子邮件和社交媒体平台发送给每位参与者,并收集和分析回复。采用卡方检验和Fisher精确检验分析人口统计变量与良好KAP之间的关系。结果与讨论:171名OPs参与了研究,其中8.8%的OPs有良好的知识,70.2%的OPs有积极的态度,只有4.1%的OPs使用AI诊断HP。相对于多年的经验,病理学中人工智能的知识以统计学上显著的方式增加(P = 0.001)。43.9%的OPs预计AI将在未来十年内融入印度的惠普。结论:印度的OPs对将人工智能纳入其病理实践持积极态度。在我们的方案中,将人工智能集成到诊断HP中并提高其意识的重要措施是绝对必要的。
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