Latest AI and machine learning research in other cancers for healthcare professionals.
PURPOSE: Efficient and reliable magnetic resonance imaging (MRI)-based diagnosis of early avascular necrosis of the femoral head (AVNFH) is essential for guiding treatment but remains challenging due to variability in clinician experience. Deep learning (DL) models offer a promising solution. This review evaluates and summarizes the performance of DL models in the early detection and staging of AV...
PURPOSE: The purpose of this study was to develop a machine learning model based on radiomic features extracted from baseline contrast-enhanced CT scans for predicting early treatment responses in two cohorts of patients with stage III-IV NSCLC treated with distinct therapeutic regimens (first-line chemo-immunotherapy or immunotherapy alone). METHODS: In this retrospective bicentric study includin...
BACKGROUND: Multimodal large language models (MLLMs) have emerging potential for interpreting medical images and text, but their performance in orthop...
Liver metastases represent the most common form of secondary hepatic malignancy and a major determinant of outcomes in oncologic patients. Imaging pla...
BACKGROUND: Prostate cancer imaging is inherently multimodal, yet many AI tools remain single-modality and therefore misaligned with real-world abdomi...
This study investigated the mechanistic role of DUSP9 in hepatoblastoma (HB) development and progression to provide new insights into the diagnosis an...
BACKGROUND: Pressure injury (PI) can cause severe infections or death, and has a high global prevalence. Accurate staging is vital for effective inter...
BACKGROUND: Colorectal cancer is the third most common and second deadliest cancer in the USA, but cases and deaths are preventable through appropriat...
RATIONALE AND OBJECTIVES: Neoadjuvant chemoimmunotherapy (NCIT) has shown promising efficacy in locally advanced esophageal squamous cell carcinoma (L...
BACKGROUND: Patients with muscle-invasive bladder cancer (MIBC) have heterogeneous outcomes following transurethral resection of bladder tumor (TURBT)...
Neuroblastoma is the most common extracranial solid tumor in children, with risk stratification guiding therapy and prognosis. Although current risk s...
Chordoma is a rare and aggressive malignant bone tumor of the axial skeleton that has historically challenged clinicians due to its complex anatomical...
OBJECTIVES: A screening-trained deep learning (DL) model (DL1) for pulmonary nodule malignancy probability estimation on CT previously demonstrated go...
Cancer is no longer viewed solely as a consequence of tumor-intrinsic genetic alterations but rather as a disease sustained by a complex and evolving ...
Cognitive-behavioral therapy (CBT) is the first-line treatment for obsessive-compulsive disorder (OCD), yet a significant number of patients do not ac...
BACKGROUND: Precision periodontology integrates molecular diagnostics, genomics, and advanced imaging into clinical decision-making. Despite major adv...
Despite advances in total mesorectal excision and neoadjuvant therapy, locally recurrent rectal cancer remains a clinically important source of pelvic...
Hepatocellular carcinoma (HCC) has an extremely poor prognosis. The emergence of immune checkpoint inhibitors (ICIs) has fundamentally transformed the...
BACKGROUND AND AIM: Metabolites produced through host-microbe interactions may help associate metabolomic signatures with therapy response. We aimed t...
BACKGROUND: Gastric cancer (GC) is one of the most common malignant tumors worldwide, with Helicobacter pylori-associated intestinal-type gastric canc...