Min Yuan, Shixin Su, Haolun Ding, Yaning Yang, Manish Gupta, Xu Steven Xu
Christos Chatzichristos, Dimitris Katsimpokis, Congting Lai, L. van Santvliet, Flavio Camarrone, Daan Knoors, et al.
The creation of synthetic data in healthcare research has emerged as a compelling solution to address challenges related to data privacy, in case of data-sharing and data scarceness for training machine learning models. The current paper aims to provide a critical landscape analy…
Yunzhe Ni, Tianyu Zhang, Zonghui Huang, Yue Wang, Guochao Han, Lin Yuan, et al.
Carotid vulnerable plaques (CVPs) represent a major cause of ischemic stroke, yet current diagnostic methods lack sufficient precision for early detection. Spectral computed tomography (CT) enables detailed plaque characterization, but its clinical utility depends on advanced ana…
Joy Aifuobhokhan, Ayodeji Ogunjinmi, Chukwuemeka Abraham Agbarakwe, Deborah Oladunmolu Oduguwa, Annie Peter Essiet, Temitayo Osunkiyesi, et al.
Maternal mortality remains disproportionately high in low- and middle-income countries, particularly in rural settings with limited access to skilled obstetric care. Artificial intelligence and machine learning models offer promise for early risk prediction, yet their methodologi…
Multiple myeloma (MM) is a hematopoietic system malignancy characterized by clonal proliferation of abnormal plasma cells, commonly presenting with renal impairment (RI) that significantly impacts patient’s quality of life. The objective of this study was to develop a predictive…
Mohammad Amouzadeh Lichahi, Saeid Anvari, Hossein Hemmati, Ervin Zadgari, Maryam Jafari, Seyedeh Mohadeseh Mosavi Mirkalaie, et al.
Muhammad Rizwan, Rashid Naseem, Muhammad Ahmad Khan, Arshad Ahmad, Muhammad Fozan, Nazeer Muhammad