BACKGROUND: Functional magnetic resonance imaging (fMRI) is a powerful tool for non-invasive evaluation of micro-changes in the kidneys. This study aims to develop classification and prognostic models based on multi-modal data.
BACKGROUND: As a first step to prevent recurrent laryngeal nerve (RLN) palsy, we have developed an artificial intelligence (AI)-based anatomical recognition system for critical anatomical structures in robot-assisted minimally invasive esophagectomy ...
Progressive lung fibrosis is frequently observed in patients with idiopathic interstitial pneumonias (IIPs), especially in those with idiopathic pulmonary fibrosis (IPF) being a representative form of IIPs characterized by a poor prognosis, even in t...
INTRODUCTION: We assessed the outcomes of stereotactic radiosurgery (SRS) for small intact brain metastases (SBM) (≤ 2 cm) and developed machine learning (ML) algorithms to predict the probability of local failure (LF).
PURPOSE OF REVIEW: Lymphangioleiomyomatosis (LAM) is a systemic, low-grade, metastasizing neoplasm that predominantly affects women. This review demonstrates recent progression in this rare disease, from improved understanding of pathogenesis, to nov...
Critical reviews in oncology/hematology
Sep 1, 2025
Over the past decade, liquid biopsy (LB) has emerged as a key tool in oncology. Its utility in non-invasive sampling and real-time monitoring has made it a cornerstone in precision medicine. Since 2020, publications on LB in solid tumors have doubled...
Clinical pharmacology and therapeutics
Sep 1, 2025
In silico trials, utilizing mathematical models calibrated with clinical data, present a transformative approach to expedite drug development. We propose a virtual trial framework for chronic Hepatitis B, accurately simulating clinical protocols, pat...
This study developed a machine learning (ML) model combining clinical and radiomic features to predict surgical difficulty in pheochromocytomas and paragangliomas (PPGLs), aiming to optimize preoperative planning and reduce perioperative complication...
Critical reviews in oncology/hematology
Sep 1, 2025
INTRODUCTION: Breast cancer is the most prevalent cancer among women, with growing incidence and mortality rates. Regardless of remarkable progress in cancer research, breast cancer remains a major concern due to its complex nature. These factors und...
BACKGROUND: Determining whether pediatric patients with low-grade gliomas (pLGGs) have tumor-related epilepsy (GAE) is a crucial aspect of preoperative evaluation. Therefore, we aim to propose an innovative, machine learning- and deep learning-based ...
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