Academic Pathology, Год журнала: 2025, Номер 12(1), С. 100166 - 100166
Опубликована: Янв. 1, 2025
The integration of artificial intelligence in pathology has ignited discussions about the role technology diagnostics-whether serves as a tool for augmentation or risks replacing human expertise. This manuscript explores intelligence's evolving contributions to pathology, emphasizing its potential capacity enhance, rather than eclipse, pathologist's role. Through historical comparisons, such transition from analog digital radiology, this paper highlights how technological advancements have historically expanded professional capabilities without diminishing essential element. Current applications pathology-from diagnostic standardization workflow efficiency-demonstrate augment accuracy, expedite processes, and improve consistency across institutions. However, challenges remain algorithmic bias, regulatory oversight, maintaining interpretive skills among pathologists. discussion underscores importance comprehensive governance frameworks, educational curricula, public engagement initiatives ensure remains collaborative endeavor that empowers professionals, upholds ethical standards, enhances patient outcomes. ultimately advocates balanced approach where expertise work concert advance future medicine.
Язык: Английский
Процитировано
0Artificial Intelligence in Breast Reconstruction: A Narrative Review
Medicina, Год журнала: 2025, Номер 61(3), С. 440 - 440
Опубликована: Фев. 28, 2025
Breast reconstruction following mastectomy or sectorectomy significantly impacts the quality of life and psychological well-being breast cancer patients. Since its inception in 1950s, artificial intelligence (AI) has gradually entered medical field, promising to transform surgical planning, intraoperative guidance, postoperative care, research. This article examines AI applications reconstruction, supported by recent studies. shows promise enhancing imaging for tumor detection improving microsurgical precision, predicting complications such as flap failure, optimizing monitoring. However, challenges remain, including data quality, safety, algorithm transparency, clinical integration. Despite these shortcomings, potential revolutionize preoperative operative efficiency, patient outcomes. review provides a foundation further research continues evolve trials expand applications, offering greater benefits patients healthcare providers.
Язык: Английский
Процитировано
0Review of machine learning and WEAP models for water allocation under climate change
Earth Science Informatics, Год журнала: 2025, Номер 18(3)
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Artificial intelligence in social media: a catalyst for impulse buying behavior?
Young Consumers Insight and Ideas for Responsible Marketers, Год журнала: 2025, Номер unknown
Опубликована: Март 8, 2025
Purpose This study aims to explore the largely under-researched area of user perceptions artificial intelligence (AI)-driven recommendations and how visibility AI-driven labels influences impulsive buying behavior on social media platforms. Addressing a gap in existing literature, it further examines moderating effects generational differences mediating role consumer knowledge, providing new insights into these factors shape responses content media. Design/methodology/approach used quantitative approach, using surveys direct indirect impacts through A conditional process analysis was conducted examine act as moderator knowledge AI serves mediator relationships. integrated single framework provide detailed understanding consumers respond personalization Findings confirms that effectively nudges media, with personalized impacting more subtly than labels. Consumer does not mediate this effect, while emerge significant moderator; Millennials are found be responsive both comparison Gen Z, possibly due less familiarity technologies present Research limitations/implications identifies limitations such its reliance from questionnaire rather interactions features. While insightful, future research should incorporate actual data, like clickstreams, include wider range cohorts deepen AI’s impact behavior. Originality/value bridges gaps literature by examining combined behavior, offering AI-based marketing.
Язык: Английский
Процитировано
0Unveiling the Future
Опубликована: Март 8, 2025
Язык: Английский
Процитировано
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