Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Large language models (LLMs) and large reasoning models (LRMs) have shown excellent perf...
The therapeutic landscape of colorectal cancer (CRC) has evolved with the identification of molecula...
BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adeno...
CONTEXT: Statistical and artificial intelligence (AI)-based methods have informed clinical prognosti...
Treatment effectiveness is hindered by the phenotypic plasticity of cancer and the genetic complexit...
Cervical cancer is still a major public-health challenge, especially in low and middle-income countr...
BACKGROUND: To investigate the feasibility of MRI-based habitat radiomics to differentiate indetermi...
BACKGROUND: The objective of this study was to evaluate whether deep learning radiomic (DLR) models ...
This Tutorial aims to help users analyze molecular dynamics (MD) simulation trajectories while requi...
BACKGROUND: Positron emission tomography with magnetic resonance imaging (PET/MRI) provides noninvas...
BACKGROUND: The transition from ductal carcinoma in situ (DCIS) to invasive ductal carcinoma (IDC) i...
Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represe...
Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory an...
BACKGROUND: Current risk stratification for oral tongue squamous cell carcinoma (OTSCC) has limited ...
PURPOSE: To compare the image quality of diffusion-weighted imaging (DWI) between deep learning reco...
OBJECTIVES: This systematic review evaluates the available evidence on the efficacy of commercially ...
PURPOSE OF REVIEW: Gastrointestinal (GI) cancers are among the most common malignancies worldwide an...
Centromere-associated genes are linked to genomic instability and tumor progression, yet their signi...
BACKGROUND: Psychological distress is common among patients with cancer, and it negatively impacts t...
OBJECTIVE: To develop and evaluate an automated CT liver lesion-tracking algorithm that matches lesi...