AI Medical Compendium Topic:
Neoplasms

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Artificial intelligence-aided optical imaging for cancer theranostics.

Seminars in cancer biology
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high accuracy and high efficiency in medical decision-making for individualized cancer medicine. In particular, optical imaging methods are able to visualize b...

Geometric graph neural networks on multi-omics data to predict cancer survival outcomes.

Computers in biology and medicine
The advance of sequencing technologies has enabled a thorough molecular characterization of the genome in human cancers. To improve patient prognosis predictions and subsequent treatment strategies, it is imperative to develop advanced computational ...

Application of Artificial Intelligence in Oncology Nursing: A Scoping Review.

Cancer nursing
BACKGROUND: Artificial intelligence (AI) has been increasingly used in healthcare during the last decade, and recent applications in oncology nursing have shown great potential in improving care for patients with cancer. It is timely to comprehensive...

ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Histopathology is the gold standard for diagnosis of many cancers. Recent advances in computer vision, specifically deep learning, have facilitated the analysis of histopathology images for many tasks, including the detectio...

Deep learning model accurately classifies metastatic tumors from primary tumors based on mutational signatures.

Scientific reports
Metastatic propagation is the leading cause of death for most cancers. Prediction and elucidation of metastatic process is crucial for the treatment of cancer. Even though somatic mutations have been linked to tumorigenesis and metastasis, it is less...

Deep learning for multi-class semantic segmentation enables colorectal cancer detection and classification in digital pathology images.

Scientific reports
In colorectal cancer (CRC), artificial intelligence (AI) can alleviate the laborious task of characterization and reporting on resected biopsies, including polyps, the numbers of which are increasing as a result of CRC population screening programs o...

Cancer prediction from few amounts of histology samples through self-attention based multi-routines cross-domains network.

Physics in medicine and biology
OBJECTIVE: Rapid and efficient analysis of cancer has become a focus of research. Artificial intelligence can use histopathological data to quickly determine the cancer situation, but still faces challenges. For example, the convolutional network is ...

Evaluation of cancer drug infusion devices prior to the implementation of a compounding robot.

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
INTRODUCTION: Compounding robots are increasingly being implemented in hospital pharmacies. In our hospital, the recent acquisition of a robot (RIVA, ARxIUM) for intravenous cancer drug compounding obliged us to replace the previously used infusion d...

Self-Propelled Janus Nanocatalytic Robots Guided by Magnetic Resonance Imaging for Enhanced Tumor Penetration and Therapy.

Journal of the American Chemical Society
Biomedical micro/nanorobots as active delivery systems with the features of self-propulsion and controllable navigation have made tremendous progress in disease therapy and diagnosis, detection, and biodetoxification. However, existing micro/nanorobo...