AIMC Topic: Medical Oncology
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Artificial intelligence for clinical oncology: current status and future outlook.
Science bulletin
Feb 16, 2023
The Use of Artificial Intelligence in Clinical Care: A Values-Based Guide for Shared Decision Making.
Current oncology (Toronto, Ont.)
Feb 9, 2023
Clinical applications of artificial intelligence (AI) in healthcare, including in the field of oncology, have the potential to advance diagnosis and treatment. The literature suggests that patient values should be considered in decision making when u...
Predicting the Survival of Patients With Cancer From Their Initial Oncology Consultation Document Using Natural Language Processing.
JAMA network open
Feb 1, 2023
IMPORTANCE: Predicting short- and long-term survival of patients with cancer may improve their care. Prior predictive models either use data with limited availability or predict the outcome of only 1 type of cancer.
Artificial Intelligence for Radiotherapy Auto-Contouring: Current Use, Perceptions of and Barriers to Implementation.
Clinical oncology (Royal College of Radiologists (Great Britain))
Jan 23, 2023
AIMS: Artificial intelligence has the potential to transform the radiotherapy workflow, resulting in improved quality, safety, accuracy and timeliness of radiotherapy delivery. Several commercially available artificial intelligence-based auto-contour...
Applications of Artificial Intelligence in Urological Oncology Imaging: More Data Are Needed.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Jan 11, 2023
Artificial Intelligence and Advanced Melanoma: Treatment Management Implications.
Cells
Dec 8, 2022
Artificial intelligence (AI), a field of research in which computers are applied to mimic humans, is continuously expanding and influencing many aspects of our lives. From electric cars to search motors, AI helps us manage our daily lives by simplify...
Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors.
BMC cancer
Nov 24, 2022
BACKGROUND: Vast amounts of rapidly accumulating biological data related to cancer and a remarkable progress in the field of artificial intelligence (AI) have paved the way for precision oncology. Our recent contribution to this area of research is C...
Prediction of chemotherapy-related complications in pediatric oncology patients: artificial intelligence and machine learning implementations.
Pediatric research
Oct 27, 2022
Although the overall incidence of pediatric oncological diseases tends to increase over the years, it is among the rare diseases of the pediatric population. The diagnosis, treatment, and healthcare management of this group of diseases are important....
Artificial intelligence in musculoskeletal oncology imaging: A critical review of current applications.
Diagnostic and interventional imaging
Oct 18, 2022
Artificial intelligence (AI) is increasingly being studied in musculoskeletal oncology imaging. AI has been applied to both primary and secondary bone tumors and assessed for various predictive tasks that include detection, segmentation, classificati...
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