Latest AI and machine learning research in other cancers for healthcare professionals.
Current tumor neoantigen calling algorithms primarily rely on epitope/major histocompatibility compl...
Chemotherapy resistance is a major challenge to the effective treatment of cancer. Thus, a systemati...
PURPOSE: To evaluate 2 published normal tissue complication probability models for radiation-induced...
BACKGROUND CONTEXT: Preoperative survival estimation in spinal metastatic disease helps determine th...
Staging third molar development is commonly used for age estimation in subadults. Automated developm...
PURPOSE: To assess the efficacy of placing a polyethylene glycol (PEG) spacing hydrogel in patients ...
INTRODUCTION: To assess the performance of pre-ablation computed tomography texture features of adre...
Skin cancer cases are increasing and becoming one of the main problems worldwide. Skin cancer is kno...
To predict lung nodule malignancy with a high sensitivity and specificity for low dose CT (LDCT) lun...
BACKGROUND: The coexistence of myeloproliferative neoplasms (MPNs), specifically essential thrombocy...
Traditionally, early esophageal cancer (i.e., cancer limited to the mucosa or superficial submucosa)...
Retroviral infections, such as HIV, are, until now, diseases with no cure. Medicine and pharmaceutic...
OBJECTIVE: To investigate the discriminative capabilities of different machine learning-based classi...
Medical images such as magnetic resonance (MR) imaging provide valuable information for cancer detec...
Automatic sleep staging methods usually extract hand-crafted features or network trained features fr...
PURPOSE: To enhance clinician's decision-making by diagnosing hepatocellular carcinoma (HCC) in cirr...
BACKGROUND: Visual inspection, lesion detection, and differentiation between malignant and benign fe...
BACKGROUND: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative ...
BACKGROUND: Pioneering effort has been made to facilitate the recognition of pathology in malignanci...
Progress in computing power and advances in medical imaging over recent decades have culminated in n...
BACKGROUND AND AIMS: We developed a system for computer-assisted diagnosis (CAD) for real-time autom...