Latest AI and machine learning research in other cancers for healthcare professionals.
The growing number of spot-resolution sequencing based spatial transcriptomic (ST) datasets provides...
Recent advances in deep brain stimulation (DBS) of the subcallosal cingulate (SCC) show promise in m...
Molecular heterogeneity in head and neck squamous cell carcinoma (HNSCC) is well recognized, yet exi...
In this study, we present a comprehensive radiogenomic analysis of pediatric low-grade gliomas (pLGG...
Artificial intelligence (AI)-based imaging analysis has applications for the diagnosis of head and n...
To address the diversity of skin conditions and the low prevalence of skin cancers, we curated a lar...
Fatigue is commonly identified by IBD patients as major issue that affects their wellbeing. This pre...
Foundation models (FMs) show promise in medical AI by learning flexible features from large datasets...
Evaluation of bone marrow morphology by experienced hematologists is key in the diagnosis of myeloid...
Given the high prevalence of vertebral fractures post-radiotherapy in patients with metastatic spine...
The concomitant development and evolution of lung computed tomography (CT) and artificial intelligen...
Digital pathology has significantly advanced cancer diagnosis by enabling high-resolution visualisat...
Based on the Fukuoka and Kyoto international consensus guidelines, the current clinical management o...
Recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC) is an aggressive cancer with ...
Epidermal Growth Factor Receptor (EGFR) mutations are critical biomarkers for targeted therapies in ...
Predicting outcomes in schizophrenia spectrum disorders is challenging due to the variability of ind...
The TNM staging system is the primary tool for treatment decisions in nasopharyngeal carcinoma (NPC)...
To compare Digital Breast Tomosynthesis (DBT) tissue matching errors with and without artificial int...
Cognitive behavioral therapy (CBT) is a first-line treatment for obsessive-compulsive disorder (OCD)...
This study aimed to develop and evaluate a machine learning pipeline using multiphase contrast-enhan...
Decisions on the best available treatment in clinical oncology are based on expert opinions in multi...