Latest AI and machine learning research in oncology/hematology for healthcare professionals.
The fate of cells is regulated by biochemical reactions taking place inside of them, known as intrac...
This study investigates the efficacy of predicting age-related macular degeneration (AMD) activity t...
Multi-modal image analysis using deep learning (DL) lays the foundation for neoadjuvant treatment (N...
BACKGROUND: Promptable foundation auto-segmentation models like Segment Anything (SA, Meta AI, New Y...
Accurate and rapid screening of adenocarcinoma cells in serous cavity effusion is vital in diagnosin...
BACKGROUND: Breast cancer is the most common cancer diagnosed in women globally. Online cancer commu...
BACKGROUND AND PURPOSE: To describe the clinical commissioning of an in-house artificial intelligenc...
Prostate Cancer is a disease that affects the male reproductive system. The irregularity of the symp...
The digitization of health records and growing availability of tumour DNA sequencing provide an oppo...
OBJECTIVES: The study aimed to compare the diagnostic efficacy of the machine learning models with e...
This study aimed to construct and assess a machine-learning algorithm designed to forecast survival ...
Radiotherapy has been demonstrated to be one of the most significant treatments for cervical cancer,...
The axillary lymph node status remains an important prognostic factor in breast cancer, and nodal st...
PURPOSE: Currently, chemoimmunotherapy is effective only in a subset of patients with advanced non-s...
BACKGROUND: The accurate diagnosis of thyroid nodules with indeterminate cytology, particularly in t...
BACKGROUND: Informative biomarkers play a vital role in guiding clinical decisions regarding managem...
Non-small cell lung cancer (NSCLC) exhibits a comparatively slower rate of metastasis in contrast to...
OBJECTIVE: The purpose of this study was to compare radiation dose reduction capability for accurate...
Reporting of diagnostic nuclear images in clinical cancer management is generally qualitative. Thera...
OBJECTIVES: The objective of this study is to develop a novel multi-task learning approach with atte...
Sorting specific cells from heterogeneous samples is important for research and clinical application...