AIMC Topic: Medical Oncology
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Artificial intelligence in oncology: current applications and future perspectives.
British journal of cancer
Nov 26, 2021
Artificial intelligence (AI) is concretely reshaping the landscape and horizons of oncology, opening new important opportunities for improving the management of cancer patients. Analysing the AI-based devices that have already obtained the official a...
Deep learning in cancer diagnosis, prognosis and treatment selection.
Genome medicine
Sep 27, 2021
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning technique called artificial neural networks to extract patterns and make predictions from large data sets. The increasing adoption of deep learning across health...
A deep look into radiomics.
La Radiologia medica
Jul 2, 2021
Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into ...
Humans
Neural Networks, Computer
Machine Learning
Prognosis
Neoplasms
Deep Learning
Consensus
Data Analysis
Algorithms
Precision Medicine
Neuroimaging
Radiology Information Systems
Database Management Systems
Data Mining
Image Interpretation, Computer-Assisted
Medical Oncology
Genomics
Diagnostic Imaging
Workflow
Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved.
Journal of clinical epidemiology
Jun 29, 2021
OBJECTIVE: Evaluate the completeness of reporting of prognostic prediction models developed using machine learning methods in the field of oncology.
Potential and limitations of radiomics in neuro-oncology.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jun 11, 2021
Radiomics seeks to apply classical methods of image processing to obtain quantitative parameters from imaging. Derived features are subsequently fed into algorithmic models to aid clinical decision making. The application of radiomics and machine lea...
Future of biomarker evaluation in the realm of artificial intelligence algorithms: application in improved therapeutic stratification of patients with breast and prostate cancer.
Journal of clinical pathology
Jun 11, 2021
Clinical workflows in oncology depend on predictive and prognostic biomarkers. However, the growing number of complex biomarkers contributes to costly and delayed decision-making in routine oncology care and treatment. As cancer is expected to rank a...
The potential of AI in cancer care and research.
Biochimica et biophysica acta. Reviews on cancer
May 28, 2021
Current applications of artificial intelligence (AI), machine learning, and deep learning in cancer research and clinical care are highly diverse-from aiding radiologists in reading medical images to predicting oncoprotein folding and dynamics. The l...
Data-driven approaches to advance research and clinical care for pediatric cancer.
Biochimica et biophysica acta. Reviews on cancer
May 26, 2021
Pediatric cancer is a rare disease with a distinct etiology and mutational landscape compared with adult cancer. Multi-omics profiling of retrospective and prospective cohorts coupled with innovative computational analysis have been instrumental in u...
Artificial intelligence in urological oncology: An update and future applications.
Urologic oncology
May 20, 2021
There continues to be rapid developments and research in the field of Artificial Intelligence (AI) in Urological Oncology worldwide. In this review we discuss the basics of AI, application of AI per tumour group (Renal, Prostate and Bladder Cancer) a...
Artificial intelligence in oncology: Path to implementation.
Cancer medicine
May 7, 2021
In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI solutions have been developed to tackle a variety of cancer-related challenges. Medical institutions, hospital systems, and technology companies are de...
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