Latest AI and machine learning research in lymphoma for healthcare professionals.
M2 macrophages play a crucial role in the initiation and progression of various tumors, including di...
It is well established that the early inflammatory response following fracture is essential for init...
In the present narrative review, we discuss the use of artificial neural networks (ANNs) for predict...
Conventional sleep staging categorises sleep into discrete stages, which may not capture the continu...
ObjectiveOur objective was to investigate a novel cancer-associated fibroblast-related gene signatur...
Papillary thyroid carcinoma (PTC) is a common endocrine malignancy with a generally favorable progno...
The diagnosis and prognosis of Primary Central Nervous System Lymphoma (PCNSL) present significant c...
Multiple machine learning techniques were employed to identify key long non-coding RNA (lncRNA) biom...
OBJECTIVES: To evaluate the role of multimodal magnetic resonance imaging radiomics features in pred...
BACKGROUND: Visceral pleural invasion (VPI), including PL1 (the tumor invades beyond the elastic lay...
BACKGROUND: Recent years have witnessed a proliferation of studies aimed at developing clinical mode...
BackgroundHospitalized patients with blood cancer face an elevated risk for cardiovascular diseases ...
BACKGROUND: Lymphoma is a malignant tumor of the immune system and its incidence is increasing year ...
PURPOSE: Bridging radiation therapy (BRT) is effective for local control in patients with relapsed o...
AIM: To develop a positron emission tomography/computed tomography (PET/CT)-based radiomics model fo...
The integration of artificial intelligence (AI) into medical diagnostics is transforming the landsca...
BACKGROUND: Lung adenocarcinoma (LAC) comprises a substantial subset of non-small cell lung cancer (...
Magnetic resonance imaging (MRI) is a non-invasive imaging technique that provides high soft tissue ...
PURPOSE: To develop an AI-based diagnostic model for assessing cervical lymph nodes in head and neck...
OBJECTIVE: This study aimed to develop and validate a nomogram combining F-FDG PET radiomics and cli...
PURPOSE: To explore the development and validation of automated machine learning (AutoML) models for...