Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration
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 …
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 …
medulloblastoma including etiology, biology, radiology, and management of pediatric …
Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging
Cardiac magnetic resonance imaging (CMR) is the gold standard for cardiac function
assessment and plays a crucial role in diagnosing cardiovascular disease (CVD). However …
assessment and plays a crucial role in diagnosing cardiovascular disease (CVD). However …
A pilot radiometabolomics integration study for the characterization of renal oncocytic neoplasia
Differentiating benign renal oncocytic tumors and malignant renal cell carcinoma (RCC) on
imaging and histopathology is a critical problem that presents an everyday clinical …
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
Global investigation of medulloblastoma has been hindered by the widespread
inaccessibility of molecular subgroup testing and paucity of data. To bridge this gap, we …
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 …
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 …
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 …
biological functions in Alzheimer's Disease (AD). This study aims to develop and validate a …
Advances in the treatment of pediatric brain tumors
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 …
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 …
imaging (MRI)–based fusion radiomics models (MMFRs) to predict telomerase reverse …