{"id":190167,"date":"2026-02-24T08:33:00","date_gmt":"2026-02-24T13:33:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/24\/japanese-medical-trainees-perspectives-on-artificial-intelligence-in\/"},"modified":"2026-02-24T08:50:10","modified_gmt":"2026-02-24T13:50:10","slug":"japanese-medical-trainees-perspectives-on-artificial-intelligence-in","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/24\/japanese-medical-trainees-perspectives-on-artificial-intelligence-in\/","title":{"rendered":"Japanese Medical Trainees\u2019 Perspectives on Artificial Intelligence in"},"content":{"rendered":"<p><a href=\"https:\/\/bioengineer.org\/japanese-medical-trainees-perspectives-on-artificial-intelligence-in-healthcare\/\">Japanese Medical Trainees\u2019 Perspectives on Artificial Intelligence in<\/a><\/p>\n<p><a href=\"https:\/\/bioengineer.org\/japanese-medical-trainees-perspectives-on-artificial-intelligence-in-healthcare\/\">https:\/\/bioengineer.org\/japanese-medical-trainees-perspectives-on-artificial-intelligence-in-healthcare\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-02-24 08:33:00<\/a><\/p>\n<p>Source Domain: <a href=\"bioengineer.org\">bioengineer.org<\/a><\/p>\n<ul>\n<li>\n<p><strong>Culturally Adapted AI Attitudes Scale<\/strong>: Japanese and British researchers developed a culturally and linguistically adapted version of the 12-item Attitudes Towards Artificial Intelligence scale (ATTARI-12) for medical students and resident physicians in Japan, named J-ATTARI-12.<\/p>\n<\/li>\n<li>\n<p><strong>Psychometric Validity<\/strong>: The study rigorously validated the J-ATTARI-12 to ensure it accurately captures nuanced attitudes towards AI in medical education through factor analysis showing a two-factor structure: &#8220;AI anxiety and aversion&#8221; vs. &#8220;AI optimism and acceptance.&#8221;<\/p>\n<\/li>\n<li>\n<p><strong>Extensive Validation Process<\/strong>: The research involved comprehensive survey methods, including multicenter sampling of 326 trainees, exploratory and confirmatory factor analysis, and correlations with attitudes towards robots to assess convergent validity.<\/p>\n<\/li>\n<li>\n<p><strong>Educational and Societal Implications<\/strong>: The J-ATTARI-12 serves as an essential tool in medical education, facilitating targeted interventions to foster responsible and effective adoption of AI technologies by trainees.<\/p>\n<\/li>\n<li>\n<p><strong>Cross-Cultural and Collaborative Research<\/strong>: This work emphasizes cross-national collaboration and setting a precedent for culturally adapting global AI attitude scales, allowing for comparative studies and a broader dialogue on AI attitudes in healthcare.<\/p>\n<\/li>\n<li>\n<p><strong>Longitudinal and Policy Insights<\/strong>: The tool helps track attitudes over time, providing empirical data for curriculum development and policy-making around AI education and ethical integration in medical practice.<\/p>\n<\/li>\n<li>\n<p><strong>Future Educational Integration<\/strong>: The instrument will be integrated into Juntendo University\u2019s new \u201cMedicine and AI\u201d program aimed at preparing future clinicians to be competent in AI-enabled practices.<\/p>\n<\/li>\n<li>\n<p><strong>Cultural Dynamics and Human Factors<\/strong>: The study highlights cultural nuances within Japanese medical trainees and provides insights into how cultural influences affect acceptance and integration of AI in healthcare.<\/p>\n<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Japanese Medical Trainees\u2019 Perspectives on Artificial Intelligence in https:\/\/bioengineer.org\/japanese-medical-trainees-perspectives-on-artificial-intelligence-in-healthcare\/ Publish Date: 2026-02-24 08:33:00 Source Domain:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":190168,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/bioengineer.org\/wp-content\/uploads\/2026\/02\/Japanese-Medical-Trainees-Perspectives-on-Artificial-Intelligence-in-Healthcare.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[20],"class_list":["post-190167","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/190167"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=190167"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/190167\/revisions"}],"predecessor-version":[{"id":190169,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/190167\/revisions\/190169"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/190168"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=190167"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=190167"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=190167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}