From pixels to prognosis: a survey on AI-driven cancer patient survival prediction using digital histology images

A Parvaiz, ES Nasir, MM Fraz - Journal of Imaging Informatics in Medicine, 2024 - Springer
Survival analysis is an integral part of medical statistics that is extensively utilized to
establish prognostic indices for mortality or disease recurrence, assess treatment efficacy …

Cancer research in the United Arab Emirates from birth to present: A bibliometric analysis

HO Al-Shamsi, SI Abdelwahab, O Albasheer… - Heliyon, 2024 - cell.com
Background Accumulating evidence indicates that the incidence of cancer is increasing in
the United Arab Emirates (UAE). This analysis aimed to determine the current cancer …

A novel artificial-intelligence-based approach for automatic assessment of retinal disease images using multi-view deep-broad learning network

A Zhang, X Qian, C Xu, J Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
Retinal disease detection and diagnosis relying solely on artificial retinal diseases will put
great pressure on doctors and increase the rate of misdiagnosis. Therefore, the …

Mixture-of-experts-based broad learning system and its applications

J Wang, L Nie, J Duan, H Zhao, CLP Chen - Expert Systems with …, 2025 - Elsevier
A popular network called Broad Learning System (BLS) has garnered substantial interest
and adoption across various domains. However, due to the random initialization of weights …

[HTML][HTML] Clinical Validation of a Machine Learning-Based Biomarker Signature to Predict Response to Cytotoxic Chemotherapy Alone or Combined with Targeted …

D Pagano, V Barresi, A Tropea, A Galvano, V Bazan… - Life, 2025 - mdpi.com
Metastatic colorectal cancer (mCRC) is a severe condition with high rates of illness and
death. Current treatments are limited and not always effective because the cancer responds …

[PDF][PDF] Research on Image Classification of Pathology Based on Deep Learning

RC WuZhao, G Gong, S Cao, C Chen… - Journal of Intelligence …, 2024 - stemmpress.com
Histopathological image classification based on in-depth study is one of the significant
methods for diagnosing diseases. Pathology image information is complex, diverse, and has …