TY  - JOUR
T1  - Artificial Intelligence–Based Topic Modeling of Cadaveric Anatomy Literature: A 25-Year BERTopic Analysis (2000–2025)
TT  - Yapay Zeka Tabanlı Konu Modellemesi ile Kadaverik Anatomi Literatürünün Haritalanması: 25 Yıllık BERTopic Analizi (2000–2024)
AU  - Keskin, Arif
AU  - Aygün, Tayfun
AU  - Palancı, Özgür
PY  - 2026
DA  - July
Y2  - 2026
JF  - Journal of Contemporary Medicine
JO  - J Contemp Med
PB  - Rabia YILMAZ
WT  - DergiPark
SN  - 2667-7180
SP  - 179
EP  - 184
VL  - 16
IS  - 4
LA  - en
AB  - Aim: This study aimed to identify research topics in the cadaveric anatomy literature between 2000 and 2025, reveal semantic relationships between these topics, and analyze temporal trends.Methods: A systematic search of the Scopus database yielded 2,465 articles published between 2000 and 2025; after preprocessing, 2,455 were included. The Bidirectional Encoder Representations from Transformers Topic Modeling algorithm — integrating Sentence-BERT, Uniform Manifold Approximation and Projection, and Hierarchical Density-Based Spatial Clustering of Applications with Noise — was applied to article titles and abstracts. Topic coherence was assessed using the C_v score, and temporal trends were evaluated with the Mann-Kendall trend test.Results: A total of 62 topics were identified (mean C_v=0.664). Of all articles, 29.8% were classified as outliers. Eighteen topics showed a statistically significant increasing trend; no topic showed a decrease. The strongest increase was observed in sciatic nerve and related clinical anatomy topics. Education, endoscopic surgery, and vascular anatomy emerged as prominent thematic areas. The United States accounted for the largest share of publications (34.4%), with contributions from 60 countries overall.Conclusion: To our knowledge, this is the first transformer-based topic modeling study to map the cadaveric anatomy literature. The findings demonstrate significant growth in education-focused research alongside sustained expansion across surgical and clinical anatomy topics, confirming that cadaver studies maintain their central role in modern medical training and research.
KW  - Cadaver
KW  - Dissection
KW  - Anatomy
KW  - Natural Language Processing
KW  - Bibliometrics
N2  - Amaç: Bu çalışma, 2000–2025 yılları arasındaki kadaverik anatomi literatüründeki araştırma konularını belirlemek, bu konular arasındaki semantik ilişkileri ortaya koymak ve zamansal eğilimleri analiz etmeyi amaçlamaktadır.Yöntem: Scopus veri tabanında gerçekleştirilen sistematik tarama sonucunda 2000–2025 yılları arasında yayınlanan 2.465 makale elde edilmiş; ön işleme sonrasında 2.455 makale analize dahil edilmiştir. Cümle düzeyinde anlamsal gömme modeli, Tekdüze Manifold Yaklaşımı ve Projeksiyon algoritması ile Hiyerarşik Yoğunluk Tabanlı Gürültülü Uygulamalar için Uzamsal Kümeleme algoritması bileşenlerini entegre eden Transformer Tabanlı Konu Modellemesi algoritması makale başlık ve özetlerine uygulanmıştır. Konu tutarlılığı C_v skoru ile değerlendirilmiş, zamansal eğilimler Mann-Kendall trend testi ile analiz edilmiştir.Bulgular: Toplam 62 konu belirlenmiştir (ortalama C_v=0,664). Makalelerin %29,8'i aykırı değer olarak sınıflandırılmıştır. On sekiz konu istatistiksel olarak anlamlı artış eğilimi gösterirken hiçbir konuda azalma gözlemlenmemiştir. En güçlü artış siyatik sinir ve ilgili klinik anatomi konularında saptanmıştır. Eğitim, endoskopik cerrahi ve vasküler anatomi öne çıkan tematik alanlar olarak belirlenmiştir. Yayınların en büyük payı Amerika Birleşik Devletleri'ne ait olup (%34,4), toplamda 60 farklı ülkeden katkı sağlanmıştır.Sonuç: Bilgimiz dahilinde bu çalışma, kadaverik anatomi literatürünü haritalayan ilk transformer tabanlı konu modelleme çalışmasıdır. Bulgular, eğitim odaklı araştırmalardaki belirgin büyümenin yanı sıra cerrahi ve klinik anatomi konularındaki süregelen genişlemeyi ortaya koymakta; kadaver çalışmalarının modern tıp eğitimi ve araştırmalarındaki merkezi rolünü korumaya devam ettiğini teyit etmektedir.
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UR  - https://dergipark.org.tr/tr/pub/jcm/article/1960958
L1  - https://dergipark.org.tr/tr/download/article-file/6060860
ER  -