crossrefScientific Reports2026-07-22Cited by 0
DMF-T assessment on panoramic images using deep learning-based convolutional neural network algorithm
Elif Aslan, Ali Canberk Ulusoy, Onur Mutlu, Erinc Onem, Elif Sener, Ali Mert, B. Guniz Baksi
Elif Aslan, Ali Canberk Ulusoy, Onur Mutlu, Erinc Onem, Elif Sener, Ali Mert, B. Guniz Baksi
Maria João Almeida, Miguel Mascarenhas, Miguel Martins, F Mendes, Joana Mota, Pedro Cardoso, et al.
Benign anorectal conditions—including fissures, lacerations, and fistulas—are common and often require precise imaging for adequate diagnosis and surgical planning. Endoanal ultrasonography (EAUS) offers excellent visualization of the sphincter complex but remains underused due t…
Zixuan Song, Lianxin Geng, Xiao Wang, Xiaoke Gong
In the context of developments in digital education and artificial intelligence technologies, ideological and political education (IPE) scenarios (e.g., university teaching, enterprise training, and community practice) generate growing demands for accurate resource recommendation…
William Son Galanza, Steven Schmidt, Sofi Fristedt, Nebojsa Malesevic
Abstract Tracking everyday activities is vital for detecting changes in older adults’ health, allowing timely support to promote well-being. Wearable sensors and deep learning provide continuous monitoring, making them a supportive tool in detecting such changes. However, a more…
Pouya Bohlol, Mohammad Hasan Sabet Dizavandi, Syed Saeid Mohtasebi, Mahmoud Omid
Abstract The fusion multi-sensory system with optimized deep learning and machine learning algorithms appeared to synergize difficult paradigms in precision agriculture and boost recognition of various plant species. In this study, an electronic nose (E-nose) system with eight MO…
Estimating ground reaction forces (GRFs) with consumer-grade wearables could support accessible biomechanical monitoring outside laboratory settings. This study examined whether Apple Watch inertial measurement unit (IMU) signals could predict three-dimensional GRF waveforms duri…
Zhu Y, H J Zhou, Peng An, Yingfan Mao, Ziwei Nie, Yi-Xiang Wang, et al.
To investigate the value of radiomics and deep learning features derived from pre-treatment CT imaging in predicting the efficacy of chemotherapy in patients with advanced pancreatic cancer. The retrospective study included 207 patients with advanced pancreatic cancer from two me…