Attitudes toward artificial intelligence in pathology: a survey-based study of pathologists in northern India.

IF 3 Q3 PATHOLOGY
Manupriya Sharma, Kavita Kumari, Navpreet Navpreet, Sushma Bharti, Rajneesh Kumari
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Abstract

Background: Artificial intelligence (AI) is transforming pathology by enhancing diagnostic accuracy, efficiency, and workflow standardization. Despite its growing presence, AI adoption remains limited, particularly in resource-constrained settings like India. This study assessed the knowledge, awareness, and perceptions of AI among pathologists in Northern India.

Methods: A cross-sectional survey was conducted among 138 practicing pathologists in Northern India between April and June 2024. A structured online questionnaire was used to collect data on demographics, AI awareness, self-reported knowledge, sources of AI education, technological proficiency, and interest in AI-related training programs. Data analysis included descriptive statistics and chi-square tests, with p < .05 considered statistically significant.

Results: AI awareness was high (88.4%), with significant sex differences (93.5% in females vs. 78.3% in males, p = .008). However, formal AI training was limited (6.5%), and only 16.7% had used AI as a diagnostic tool. Academic pathologists were more likely to engage with AI literature than their non-academic counterparts (p = .003). Interest in AI workshops was strong (92.8%). Access to whole slide imaging (WSI) correlated with higher AI knowledge (p = .008), as did self-reported technological proficiency (p = .001).

Conclusions: Despite high AI awareness among pathologists, significant gaps remain in training, infrastructure, and practical application. Expanding access to digital pathology tools like WSI and improving digital literacy could facilitate AI adoption. Structured educational programs and greater investment in digital infrastructure are crucial for integrating AI into pathology practice.

病理学对人工智能的态度:印度北部病理学家的调查研究。
背景:人工智能(AI)正在通过提高诊断准确性、效率和工作流程标准化来改变病理学。尽管人工智能的存在越来越多,但它的采用仍然有限,特别是在印度等资源有限的国家。本研究评估了印度北部病理学家对人工智能的知识、意识和看法。方法:对2024年4 - 6月印度北部138名执业病理医师进行横断面调查。一份结构化的在线问卷用于收集人口统计数据、人工智能意识、自我报告的知识、人工智能教育来源、技术熟练程度以及对人工智能相关培训项目的兴趣。资料分析采用描述性统计和卡方检验,以p < 0.05为差异有统计学意义。结果:人工智能认知程度高(88.4%),性别差异显著(女性93.5% vs男性78.3%,p = 0.008)。然而,正式的人工智能培训有限(6.5%),只有16.7%的人使用人工智能作为诊断工具。学术病理学家比非学术病理学家更有可能参与人工智能文献(p = 0.003)。对人工智能研讨会的兴趣很强(92.8%)。获得全幻灯片成像(WSI)与更高的人工智能知识相关(p = 0.008),自我报告的技术熟练程度也是如此(p = 0.001)。结论:尽管病理学家对人工智能有很高的认识,但在培训、基础设施和实际应用方面仍存在重大差距。扩大WSI等数字病理学工具的使用范围,提高数字素养,可以促进人工智能的采用。结构化的教育计划和对数字基础设施的更多投资对于将人工智能融入病理实践至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.00
自引率
4.20%
发文量
45
审稿时长
14 weeks
期刊介绍: The Journal of Pathology and Translational Medicine is an open venue for the rapid publication of major achievements in various fields of pathology, cytopathology, and biomedical and translational research. The Journal aims to share new insights into the molecular and cellular mechanisms of human diseases and to report major advances in both experimental and clinical medicine, with a particular emphasis on translational research. The investigations of human cells and tissues using high-dimensional biology techniques such as genomics and proteomics will be given a high priority. Articles on stem cell biology are also welcome. The categories of manuscript include original articles, review and perspective articles, case studies, brief case reports, and letters to the editor.
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