Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration

L Wei, D Niraula, EDH Gates, J Fu, Y Luo… - The British Journal of …, 2023 - academic.oup.com
Multiomics data including imaging radiomics and various types of molecular biomarkers
have been increasingly investigated for better diagnosis and therapy in the era of precision …

Recent Advances in Pediatric Medulloblastoma

K Jackson, RJ Packer - Current Neurology and Neuroscience Reports, 2023 - Springer
Abstract Purpose of Review Review recent advances in the understanding of pediatric
medulloblastoma including etiology, biology, radiology, and management of pediatric …

Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging

YR Wang, K Yang, Y Wen, P Wang, Y Hu, Y Lai… - Nature Medicine, 2024 - nature.com
Cardiac magnetic resonance imaging (CMR) is the gold standard for cardiac function
assessment and plays a crucial role in diagnosing cardiovascular disease (CVD). However …

A pilot radiometabolomics integration study for the characterization of renal oncocytic neoplasia

ME Klontzas, E Koltsakis, G Kalarakis, K Trpkov… - Scientific Reports, 2023 - nature.com
Differentiating benign renal oncocytic tumors and malignant renal cell carcinoma (RCC) on
imaging and histopathology is a critical problem that presents an everyday clinical …

Advancing presurgical non-invasive molecular subgroup prediction in medulloblastoma using artificial intelligence and MRI signatures

YRJ Wang, P Wang, Z Yan, Q Zhou, F Gunturkun, P Li… - Cancer Cell, 2024 - cell.com
Global investigation of medulloblastoma has been hindered by the widespread
inaccessibility of molecular subgroup testing and paucity of data. To bridge this gap, we …

Making sense of artificial intelligence and large language models—including ChatGPT—in pediatric hematology/oncology

KD Wyatt, N Alexander, GD Hills… - Pediatric blood & …, 2024 - Wiley Online Library
ChatGPT and other artificial intelligence (AI) systems have captivated the attention of
healthcare providers and researchers for their potential to improve care processes and …

From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients

Y Guo, T Li, B Gong, Y Hu, S Wang, L Yang… - Advanced …, 2025 - Wiley Online Library
With the increasing demand for precision medicine in cancer patients, radiogenomics
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …

A multi-cohort study of the hippocampal radiomics model and its associated biological changes in Alzheimer's Disease

H **a, X Luan, Z Bao, Q Zhu, C Wen, M Wang… - Translational …, 2024 - nature.com
There have been no previous reports of hippocampal radiomics features associated with
biological functions in Alzheimer's Disease (AD). This study aims to develop and validate a …

Advances in the treatment of pediatric brain tumors

ES Kulubya, MJ Kercher, HW Phillips, R Antony… - Children, 2022 - mdpi.com
Pediatric brain tumors are the most common solid malignancies in children. Advances in the
treatment of pediatric brain tumors have come in the form of imaging, biopsy, surgical …

Multiparametric MRI-based fusion radiomics for predicting telomerase reverse transcriptase (TERT) promoter mutations and progression-free survival in glioblastoma …

H Zhang, H Zhang, Y Zhang, B Zhou, L Wu, W Yang… - Neuroradiology, 2024 - Springer
Purpose This study evaluated the performance of multiparametric magnetic resonance
imaging (MRI)–based fusion radiomics models (MMFRs) to predict telomerase reverse …