The Report Includes:
- Introduction to cancer, most common types, and main medical issues
- A look at the major applications of AI tools in the diagnosis, therapy, R&D and health management of cancer
- Information on types of complex algorithms developed for cancer
- Discussion of major issues related to the utilization of AI for diagnosis and treatment of cancer
- Analysis of the current and emerging trends in AI as it relates to cancer
- Recent achievements and market outlook for AI in cancer
Summary:
Artificial intelligence (AI) is a term used to identify a scientific field that covers the creation of machines aimed at reproducing wholly or in part the intelligent behavior of human beings. These machines include computers, sensors, robots, and hypersmart devices.
The ultimate purpose of artificial intelligence is to create smart machines that, through the steps of learning, reasoning, and self-correcting, will eventually be able to make decisions, solve problems, and act like human beings.
Table of Contents
Chapter 1 Technology Highlights and Market Outlook
- Artificial Intelligence
- Cognitive Computing, Natural Language Processing and Machine Learning
- Global Market for Artificial Intelligence
- Cancer and Main Issues with Existing Therapies
- Surgery
- Radiotherapy
- Chemotherapy
- Immunotherapy
- Alteration of Tumor Microenvironment
- Phototherapy
- Theranostics
- Gene Therapy
- Hyperthermia Therapy
- Sonodynamic Therapy
- Current and Emerging Applications of AI in Cancer
- Diagnosis
- Therapy
- Prognosis
- Health Management
- Research
- Types of Complex Algorithms Used in Cancer Applications
- Machine Learning Algorithms
- Natural Language Processing and Speech Recognition Algorithms
- Major Issues Related to the Utilization of AI in Cancer
- Current and Emerging Trends in AI Related to Cancer
- Integration of Artificial Intelligence and Nanomedicine
- Artificial Intelligence and Omic Data
- Identification of Driver Genes
- Drug Repurposing
- Recent Achievements
- Ensemble Method for Cancer Prediction
- Algorithm for Predicting Anticancer Drug Synergies
- Open Source Machine-Learning Algorithms
- Algorithm for Automated Brain Histology Classification
- Market Outlook for AI in Cancer
- Market by Application
- Market by AI Type
- Market by Region
- Analyst's Credentials
List of Tables
Table 1: Global Market for Artificial Intelligence, by Region, Through 2025
Table 2: Number of Yearly Deaths Globally, by Most Common Types of Cancer, 2018
Table 3: Number of Cancer Related Deaths Globally, by Major Region, 2018
Table 4: Applications of Artificial Intelligence in Cancer Diagnosis
Table 5: Applications of Artificial Intelligence in Cancer Therapy
Table 6: Applications of Artificial Intelligence in Cancer Prognosis
Table 7: Applications of Artificial Intelligence in Cancer Health Management
Table 8: Applications of Artificial Intelligence in Cancer Research
Table 9: Typical Applications of Supervised Learning Algorithms in Cancer
Table 10: Typical Applications of Regression Algorithms in Cancer
Table 11: Typical Applications of Naïve Bayes Algorithms in Cancer
Table 12: Typical Applications of Decision Tree Algorithms in Cancer
Table 13: Typical Applications of Random Forest Algorithms in Cancer
Table 14: Typical Applications of Support Vector Machine Algorithms in Cancer
Table 15: Typical Applications of K-nearest Neighbor Algorithms in Cancer
Table 16: Typical Applications of Logistic Regression Algorithms in Cancer
Table 17: Typical Applications of Clustering Algorithms in Cancer
Table 18: Typical Applications of Association Rule Learning Algorithms in Cancer
Table 19: Typical Applications of Anomaly Detection Algorithms in Cancer
Table 20: Typical Applications of Dimensionality Reduction Algorithms in Cancer
Table 21: Typical Applications of Semi-Supervised Algorithms in Cancer
Table 22: Typical Applications of Reinforcement Learning Algorithms in Cancer
Table 23: Typical Applications of Artificial Neural Networks in Cancer
Table 24: Typical Applications of Convolutional Neural Networks in Cancer
Table 25: Typical Applications of Recurrent Neural Networks in Cancer
Table 26: Typical Applications of Deep Neural Networks in Cancer
Table 27: Typical Applications of Text Mining in Cancer
Table 28: Typical Applications of NLP and Speech Recognition Algorithms in Cancer
Table 29: Current and Emerging Trends in Artificial Intelligence for Cancer
Table 30: Global Market for Artificial Intelligence in Cancer, by Application, Through 2025
Table 31: Global Market for Artificial Intelligence in Cancer, by AI Type, Through 2025
Table 32: Global Market for Artificial Intelligence in Cancer, by Region, Through 2025
List of Figures
Figure 1: Flowchart of Artificial Intelligence Capabilities
Figure 2: Forecasted Global Market Shares of Artificial Intelligence, by Region, 2025
Figure 3: Forecasted Global Market Shares of Artificial Intelligence in Cancer, by Application, 2025
Figure 4: Forecasted Global Market Shares of Artificial Intelligence in Cancer, by AI Type, 2025
Figure 5: Forecasted Global Market Shares of Artificial Intelligence in Cancer, by Region, 2025
