İstanbul Sağlık ve Teknoloji Üniversitesi Kurumsal Akademik Arşivi

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Yayın
AI-powered digital assistant for chronic disease and elderly care management
(IEEE, 2025) Bayram, Hatice Merve; Gürcan, Zehra; Ayrıç, Esmanur; Gözüaçık, Necip
The increasing prevalence of chronic diseases and the aging population pose significant challenges to healthcare systems worldwide, necessitating innovative technological solutions to alleviate the burden. Previous studies have explored telemedicine and the integration of AI in healthcare, yet there remains a gap in comprehensive systems that integrate health monitoring, advisory services, and emergency alerts. This research aims to address this gap by developing an AI-powered digital assistant designed to enhance chronic disease management and elderly care. Utilizing a user-centered design approach, the study employs mobile health applications, AI-driven decision support systems, and a hybrid health tracking model that combines automatic and manual data entry. The system architecture includes a mobile application developed with Flutter, backend services using ASP.NET Core, and AI functionalities powered by Microsoft Azure's OpenAI models. Key findings demonstrate the system's effectiveness in improving user engagement in health management, providing timely alerts, and offering personalized health insights, thereby challenging existing assumptions about the limitations of digital health platforms. The study contributes to the field by offering a scalable, user-friendly solution that empowers individuals in managing their health, with practical implications for reducing healthcare dependency and enhancing patient autonomy. Future work will focus on expanding the system's capabilities and conducting real-world user testing to further refine its accessibility and usability.
Yayın
AI-assisted medical image analysis and healthcare system integration
(IEEE, 2025) Akarçeşme, Furkan; Özcan, Halenur; Horata, Şerife Zülal; Edar, Yiğit; Gözüaçık, Necip
The integration of artificial intelligence (AI) in medical image analysis and healthcare systems is transforming modern medicine by enhancing diagnostic accuracy and reducing the burden on healthcare providers. Previous studies have demonstrated the potential of AI in medical imaging, yet there remains a need for comprehensive systems that seamlessly integrate Al-driven analysis with user-friendly healthcare platforms. This research aims to address this gap by developing a web-based health management system that facilitates online appointment scheduling and AI-assisted analysis of medical images and laboratory results. Utilizing a hybrid architecture, the system employs .NET for orchestration, Python microservices for data processing, and OpenAI's GPT for natural language interaction. The study involved testing the system with simulated data, achieving over 92% accuracy in radiological image analysis, and receiving positive feedback from users regarding its interface and functionality. These findings suggest that the system not only enhances diagnostic processes but also improves patient engagement and decision-making. The research contributes to the field by offering a novel, integrated platform that bridges the gap between technical data and patient understanding, with implications for future developments in digital health solutions. The system's design and successful implementation highlight its potential for real-world application, paving the way for further validation with clinical data and expansion into mobile platforms.
Yayın
Investigation of the effect of sex on caffeine-induced brown fat tissue activation by infrared thermography: A preliminary report
(Sağlık Bilimleri Üniversitesi, 2025) Ercan Karakaya, Zeynep; Günalan, Elif; Mutlu, Hayrettin
Amaç: Bu ön çalışmada, cinsiyetin diyetle indüklenen termojenez (DİT) sürecinde kahverengi yağ dokusu (KYD) aktivasyonu üzerindeki etkisinin kızılötesi termografi (IRT) yöntemiyle değerlendirilmesi amaçlanmıştır. Gereç ve Yöntem: Kasım-Aralık 2024 döneminde beden kütle indeksi 18,5–24,9 kg/m² aralığındaki kadın (n=4) ve erkek (n=4) gönüllülerin katılımıyla gerçekleştirilmiştir. Katılımcılara 0.dk karbonhidrat jeli verilmiş ve 45. dk’da ise 200 mg kafein kapsülü uygulanmıştır. Termonötr koşullarda gerçekleştirilen 120 dakikalık deney protokolü süresince, supraklaviküler (SCV) bölgeden her 15 dakikada bir IRT ile sıcaklık ölçümleri yapılmıştır. Bulgular: 0., 45., 60. ve 75. dakikalarda kadın katılımcılarda KYD aktivasyonuna işaret eden Tscf sıcaklıkları erkeklere göre istatistiksel olarak anlamlı derecede yüksektir (p<0.05). Ancak 90. dakikadan itibaren cinsiyetler arası istatistiksel anlamlı fark kaybolmuştur. Tref değerlerinde ise hiçbir ölçümde istatistiksel açıdan anlamlı bir fark bulunmamıştır. Tscf ile vücut ağırlığı arasında negatif yönde, yağ yüzdesi ile pozitif yönde korelasyon ilişkisi bulunmuştur (p<0.05). Sonuç: Cinsiyetin DİT’e etkisini IRT üzerinden tanımlayan bu ön çalışma raporuna göre subklaviküler bölgedeki KYD’nin diyetle uyarımı kadınlarda erkeklere oranla daha erken ve belirgin şekilde gerçekleşmektedir. Bu farklılığın seks hormonları ve yağ kütlesindeki farka bağlı olabileceği düşünülmektedir. Bununla birlikte gelecekte planlanacak daha geniş katılımlı ve biyokimyasal parametrelerle desteklenmiş çalışmalarla cinsiyetin DİT sürecine etkisinin ortaya konması gerekmektedir. Bunun yanı sıra bu araştırma ile KYD sıcaklık düzeyinin vücut kompozisyonu ile ilişkili olabileceği gözlenmiştir.
Yayın
The role of breast milk in the formation of the newborn’s circadian rhythm
(Sivas Cumhuriyet University, 2025) Yıldırım Çavak, Betül; Mutlu, Hayrettin
Circadian rhythm, also called the biological rhythm, refers to the repetition of an individual's 24-hour biochemical, physiological, and behavioral cycles. The sleep wake cycle is the most basic circadian rhythm. The hormones that play a key role in regulating it are cortisol and melatonin. In the first years of life, breast milk plays an important role in the formation of the circadian rhythm and helps the newborn adapt to its new environment outside the womb. The composition of breast milk is quite variable, and this variability provides the baby with clues about the outside world. Breast milk secreted during the day has a high lactose content, which provides energy for the baby, improves learning ability, and quenches thirst. Breast milk secreted at night has a lower lactose concentration but higher fat and melatonin concentrations. In the case of feeding with expressed milk, the time of expression and the time of feeding should align to maintain the sleep-wake cycle.
Yayın
Clinical characteristics of peripheral joint disease in axial and peripheral spondyloarthritis: Findings from a multicentre cross sectional study
(2025) Sarıyıldız, Emine; Duruöz, Mehmet Tuncay; Gezer, Halise Hande; Aktaş, İlknur; Akar, Servet; Hizmetli, Sami; Şahin, Nilay; Akgül, Özgür; Alkan Melikoğlu, Meltem; Sezer, İlhan; Ataman, Şebnem; Ural Nazlıkul, Fatma Gülçin; Çapkın, Erhan; Yılmaz, Figen; Kalyoncu, Umut
Peripheral joint disease (PJD) is the most common peripheral manifestation in spondyloarthritis (SpA) patients. This study aimed to determine PJD characteristics and associated factors in patients with axial SpA (AxSpA) and peripheral SpA (pSpA). This cross-sectional and multicenter study involved 13 different rheumatology and physical medicine & reha bilitation clinics, and patients diagnosed with axSpA or pSpA were included in the study. PJD was defined as the ‘ever’ related to SpA according to the physician. Multivariable analyses were conducted to identify factors associated with PJD. A total of 394 patients were enrolled in the study (57.6% male, mean age 40.8 years), of whom 359 (91.1%) were clas sified as AxSpA and 35 (8.9%) as pSpA. Peripheral arthritis was reported in 118 patients (29.9%), comprising 85 (72%) with AxSpA and 33 (28%) with pSpA. Among the whole population with PJD, the main joint involvement pattern was monoarticular (33.9%, n=40) and oligoarticular (49.2%, n=58). The rate of predominantly lower limb and large joint involvement was approximately 60% (n=68) and the major course of PJD was transient (42.4%, n=50) and intermit tent (40.7%, n=48). pSpA patients had a higher rate of persistent (33.3% vs. 14.3%, p=0.021) and progressive arthritis (15.2% vs. 1.2%, p=0.007). The coexistence of PJD with other peripheral involvement and extra-articular manifestations excluding psoriasis was widespread. Dactylitis, enthesitis, and high CRP level were positively associated with PJD; on the contrary, ever alcohol intake, presence of sacroiliitis on MRI, and family history for SpA were negatively associated. PJD was accompanied by both other peripheral involvements and extra-articular manifestations, excluding psoriasis and the course of PJD was more persistent in pSpA patients. This undoubtedly contributes to an increased disease burden.