This study aims to map the current research trends, application areas, and thematic clusters of artificial intelligence (AI) technologies in hematology. A literature search was conducted in the Web of Science on June 1, 2025, covering the years 1980–2025. A total of 376 original research articles were analyzed using bibliometric techniques, including trend keyword and factor analyses, via the bibliometrix package in R Studio. The USA (n = 111), China (79), the United Kingdom (22), and Germany (21) were the most productive countries, with Harvard University as the leading institution. Keywords revealed research concentration in thrombosis, venous thromboembolism, risk assessment, hematopoietic stem cell transplantation, atrial fibrillation, anticoagulants, morphological analysis, blood management, sepsis, and acute myeloid leukemia. Recent years have shown rising interest in transcriptome, prediction modeling, hematopoietic stem cell transplantation, blood management, thrombosis, venous thromboembolism cancer and COVID-19 related complications. Factor analysis grouped the literature into five clusters: AI and core hematologic diseases, clinical quality improvement, risk prediction using health data, intensive care, and cardiovascular applications. AI demonstrates substantial contributions to diagnostic accuracy, prognostication, and personalized care in hematology. The findings highlight AI’s growing potential in enhancing clinical decision-making and improving patient outcomes through data-driven and genomics-based innovations.

Background/aimEpstein-Barr virus-positive (EBV+) diffuse large B-cell lymphoma, not otherwise specified (DLBCL-NOS), represents a rare and aggressive subtype of B-cell lymphoma, officially classified as a distinct entity in the revised 4th edition of the World Health Organization (WHO) 2016 classification. This retrospective study aims to evaluate the prevalence, clinical characteristics, histopathological characteristics, and survival results of patients diagnosed with EBV+ DLBCL-NOS.Materials and methodsOur retrospective study included 92 newly diagnosed DLBCL patients treated at two centers between 2016 and 2024. EBV status was determined using in situ hybridization for EBER, with positivity defined as; ≥50% nuclear staining in tumor cells. ResultsAmong 92 patients, 81 (88.1%) were EBV-negative, and 11 (11.9%) were EBV-positive. The median age was 63 years. EBV-positive patients had significantly more advanced-stage disease (100% vs. 71.6%, p=0.049), higher rates of splenic involvement (72.7% vs. 38.3%, p=0.048), elevated LDH levels (median 773 U/L vs. 326 U/L, p=0.043), and a greater proportion with high-risk IPI scores (IPI≥4: 63.6% vs. 27.2%, p=0.032). No differences were observed in age, gender, bulky disease, extranodal involvement, or molecular subtype. Median PFS was 12 months in the EBV-positive group, while it was not reached in the EBV-negative group (p=0.005). EBV positivity was identified as an independent risk factor for inferior PFS (HR: 6.256, 95%CI:2.398–16.324, p<0.001) but not overall survival (OS). Patients with ECOG performance status ≥2 and bone marrow involvement also had significantly worse PFS and OS. ConclusionEBV+ DLBCL is characterized by distinct clinical features, including advanced-stage disease and poorer PFS. Variability in reported prevalence underscores the need for standardized diagnostic criteria. Further research is critical to develop tailored targeted therapeutic strategies and improve outcomes for this rare lymphoma subtype.

Amaç: Yeni tanı multiple myelomda kemik iliğinde fibrozis %8-57 arasında görülmektedir. Bu retrospektif çalışmamızda, kemik iliğinde fibrozis olan multiple myelom hastalarının klinik ve demografik özellikleri ile kemik iliği fibrozisinin otolog hematopoetik kök hücre nakli sonrası engrafmana ve nakil sonuçlarına etkisini araştırmayı amaçladık. Gereç ve Yöntem: Çalışmamıza, Ağustos 2016 ile Temmuz 2023 tarihleri arasında merkezimizde multiple myelom tanısı ile indüksiyon tedavisi verilen ve otolog hematopoetik kök hücre nakli yapılan 78 hasta dahil edildi. Bulgular: Hastaların 37’sinde (%47,5) kemik iliğinde grade I-III fibrozis saptanmıştır. Kemik iliğinde fibrozis saptanan hastalarda kemik iliği plazma hücre oranı anlamlı daha yüksek tespit edilmiştir (%50 vs %35, p=0,007). Fibrozisi olan ve olmayan multiple myelom hastalarının diğer klinik ve demografik özellikleri benzerdir. Otolog hematopoetik kök hücre naklinde verilen CD34(+) kök hücre miktarları ve melfalan dozları da her iki grup arasında benzerdir. Otolog hematopoetik kök hücre nakli sonrası, nötrofil ve trombosit engrafmanı, kemik iliğinde fibrozis olan grupta anlamlı olarak daha uzun tespit edilmiştir (Medyan nötrofil engrafman günü: 14 vs 13 gün, (p=0,005), medyan trombosit engrafman günü: 16 vs 13.gün, (p=0,004). Otolog hematopoetik kök hücre nakli sonrası hastanede kalış süresi, kemik iliğinde fibrozis olan grupta anlamlı daha uzun tespit edilmiştir (22 gün vs 19 gün, p=0,047). Hastaların nötrofil ve trombosit engrafman günü üzerine etki edebilecek diğer hasta, hastalık ve transplant ilişkili diğer faktörler açısından anlamlı fark tespit edilememiştir. Sonuç: Çalışmamız sonucunda, kemik iliğinde fibrozis tespit edilen, yeni tanı multiple myelom hastalarında otolog hematopoetik kök hücre nakli sonrası nötrofil ve trombosit engrafman günü ile hastanede kalış süresi daha uzun saptanmıştır. Bu hasta grubunda optimal CD34(+) kök hücre miktarının belirlenmesi, destek tedavilerin ve büyüme faktörlerinin daha etkin kullanımı ile ilgili daha geniş prospektif çalışmalara ihtiyaç duyulmaktadır.