Hematological malignancies in older patients: Focus on the potential role of a geriatric assessment management

S Caserta, G Cancemi, S Loreta, A Allegra, F Stagno - Diagnostics, 2024 - mdpi.com
Geriatric assessment management is a multidimensional tool used to evaluate prognosis for
clinical outcomes and targets for interventions in older adults with cancer receiving …

Comparison of intratumoral and peritumoral deep learning, radiomics, and fusion models for predicting KRAS gene mutations in rectal cancer based on endorectal …

Y Gan, Q Hu, Q Shen, P Lin, Q Qian, M Zhuo… - Annals of Surgical …, 2024 - Springer
Methods This study included 304 patients with rectal cancer from Fujian Medical University
Union Hospital. The patients were randomly divided into a training group (213 patients) and …

[HTML][HTML] COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset

A Idrisoglu, AL Dallora, A Cheddad… - Artificial Intelligence in …, 2024 - Elsevier
Background Chronic obstructive pulmonary disease (COPD) is a severe condition affecting
millions worldwide, leading to numerous annual deaths. The absence of significant …

Models for the marrow: A comprehensive review of AI‐based cell classification methods and malignancy detection in bone marrow aspirate smears

T Ghete, F Kock, M Pontones, D Pfrang… - …, 2024 - Wiley Online Library
Given the high prevalence of artificial intelligence (AI) research in medicine, the
development of deep learning (DL) algorithms based on image recognition, such as the …

ASO Author Reflections: Preoperative Evaluation of KRAS Gene Mutations in Rectal Cancer

Y Gan, Q Hu, Q Shen, P Lin, Q Qian, M Zhuo… - Annals of Surgical …, 2025 - Springer
Colorectal cancer is the second most common cause of cancer-related death worldwide. 1
Targeted therapy is particularly important for patients with rectal cancer, especially those …

Ablation Zone Prediction in Percutaneous Cancer Treatments Using Oncological Feature Informed Deep Convolutional Generative Adversarial Networks

HJ Kim, D Lee, SB Suh, CM Hyun - Available at SSRN 4947925 - papers.ssrn.com
This study presents an oncological feature informed deep learning-based predictive model
for ablation zone prediction in percutaneous ablative cancer treatment. We propose the U …