Haipeng Liu, Rajesh Kumar Tripathy
Artificial intelligence (AI) is reshaping the landscape of healthcare data [...]
Romuald Ferré, Thad Benefield, Cherie M. Kuzmiak
Background/Objectives: The paper aimed to synthesize the diagnostic performance of artificial intelligence (AI) methods for classifying breast lesions on contrast-enhanced breast MRI and to estimate a pooled area under the receiver operating characteristic curve (AUC). Methods: T…
Yi-Xiang Wang, J L Mu, Yichen Yang, X C Meng, Yuting Song
Objective: This study aimed to develop a multi-modal ultrasound-based model integrating radiomics, deep learning, and clinical features to predict progression-free survival (PFS) in diffuse large B-cell lymphoma (DLBCL) with superficial lymph node involvement. Methods: A total of…
Chuanyu Yang, Yifeng Shao, Chengyang Jiang, Runmin Zhang, Jian Wang, Xinlin Chen, et al.
Background/Objectives: Individual responses to recombinant human growth hormone (rhGH) therapy in children with idiopathic short stature (ISS) vary substantially, limiting pretreatment decision-making. This study aimed to develop and externally validate an interpretable machine l…
Rafał Watrowski, Attilio Di Spiezio Sardo, Peter Török, Andrea Rosati, Stoyan Kostov, Ibrahim Alkatout, et al.
Background/Objectives: Hysteroscopy is the gold standard for visualization and treatment of intrauterine pathology. Because hysteroscopic interpretation remains operator-dependent, artificial intelligence (AI) has been evaluated as a tool to improve consistency, lesion recognitio…
Daniel Markov, Jasmin Gurung, Usman Khalid, Kristian Bechev, Vladimir Aleksiev, Galabin Markov, et al.
Endometriosis is a chronic, debilitating condition affecting approximately 10–15% of reproductive-aged women and it is often associated with significant diagnostic delays due to its heterogeneity and unreliable non-invasive tests. Artificial intelligence (AI) offers innovative me…
Laura Iosif, Marina Imre, Andreea Gabriela Wagner, Ana Maria Cristina Țâncu, Andreea Cristiana Didilescu, Hendrik Simon Brand, et al.
Orofacial pain (OFP) includes a broad spectrum of odontogenic and non-odontogenic conditions with overlapping clinical features that often limit diagnostic accuracy, driving increasing interest in artificial intelligence (AI) as a tool to enhance diagnostic precision and support…