AIMC Topic: Medical Oncology
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Artificial intelligence for clinical oncology.
Cancer cell
Apr 29, 2021
Clinical oncology is experiencing rapid growth in data that are collected to enhance cancer care. With recent advances in the field of artificial intelligence (AI), there is now a computational basis to integrate and synthesize this growing body of m...
Artificial intelligence in oncology: From bench to clinic.
Seminars in cancer biology
Apr 26, 2021
In the past few years, Artificial Intelligence (AI) techniques have been applied to almost every facet of oncology, from basic research to drug development and clinical care. In the clinical arena where AI has perhaps received the most attention, AI ...
Challenges and opportunities for artificial intelligence in oncological imaging.
Clinical radiology
Apr 24, 2021
Imaging plays a key role in oncology, including the diagnosis and detection of cancer, determining clinical management, assessing treatment response, and complications of treatment or disease. The current use of clinical oncology is predominantly qua...
A primer on applying AI synergistically with domain expertise to oncology.
Biochimica et biophysica acta. Reviews on cancer
Apr 24, 2021
BACKGROUND: The concurrent growth of large-scale oncology data alongside the computational methods with which to analyze and model it has created a promising environment for revolutionizing cancer diagnosis, treatment, prevention, and drug discovery....
Role of Machine Learning and Artificial Intelligence in Interventional Oncology.
Current oncology reports
Apr 20, 2021
PURPOSE OF REVIEW: The purpose of this review is to highlight the current role of machine learning and artificial intelligence and in the field of interventional oncology.
Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview.
British journal of cancer
Apr 19, 2021
BACKGROUND: This paper reviews recent literature employing Artificial Intelligence/Machine Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) using automated image analysis.
Core services that power AI-driven transformation in cancer research and care.
Biochimica et biophysica acta. Reviews on cancer
Apr 10, 2021
This review captures some key lessons learned in the course of helping some of America's leading healthcare AI innovators achieve scale and sustained impact in complex research and care delivery ecosystems. AI innovators may find it useful to access ...
Evaluating eligibility criteria of oncology trials using real-world data and AI.
Nature
Apr 7, 2021
There is a growing focus on making clinical trials more inclusive but the design of trial eligibility criteria remains challenging. Here we systematically evaluate the effect of different eligibility criteria on cancer trial populations and outcomes ...
Can artificial intelligence overtake human intelligence on the bumpy road towards glioma therapy?
Medical oncology (Northwood, London, England)
Apr 3, 2021
Gliomas are one of the most devastating primary brain tumors which impose significant management challenges to the clinicians. The aggressive behaviour of gliomas is mainly attributed to their rapid proliferation, unravelled genomics and the blood-br...
Quantitative PET in the 2020s: a roadmap.
Physics in medicine and biology
Mar 12, 2021
Positron emission tomography (PET) plays an increasingly important role in research and clinical applications, catalysed by remarkable technical advances and a growing appreciation of the need for reliable, sensitive biomarkers of human function in h...
History, 21st Century
History, 20th Century
Positron-Emission Tomography
Medical Oncology
Imaging, Three-Dimensional
Humans
Positron Emission Tomography Computed Tomography
Prognosis
Image Processing, Computer-Assisted
Artificial Intelligence
Kinetics
Systems Biology
Tomography, X-Ray Computed
Radiopharmaceuticals
Neoplasms
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