Chapter 12 AI solutions for skin cancer diagnosis and treatment
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Abstract
Melanoma is the skin cancer with the most unfavourable prognosis. If detected in its early stages, it can be effectively managed with surgical interventions. However, once metastasis occurs, the chances of survival decrease considerably. Artificial intelligence (AI) is extensively utilised in the field of healthcare, namely in dermatology. AI encompasses statistical models and algorithms that have the ability to continuously learn from data in order to anticipate the attributes of future samples and accomplish a specific objective. It plays a crucial role in the identification of skin cancer. Due to its widespread dissemination, utilisation, and the development of new technologies, AI is more accessible even to the general public. AI can be utilised for the early identification of skin cancer. Timely identification is crucial for the efficient management and improved results of skin cancer. Recently, there has been a significant surge in the development of computer-aided diagnostics systems for the detection of skin cancer, utilising AI technology. This chapter focusses on the progress made in using digital image-based AI technologies for diagnosing skin cancer.
Abstract
Melanoma is the skin cancer with the most unfavourable prognosis. If detected in its early stages, it can be effectively managed with surgical interventions. However, once metastasis occurs, the chances of survival decrease considerably. Artificial intelligence (AI) is extensively utilised in the field of healthcare, namely in dermatology. AI encompasses statistical models and algorithms that have the ability to continuously learn from data in order to anticipate the attributes of future samples and accomplish a specific objective. It plays a crucial role in the identification of skin cancer. Due to its widespread dissemination, utilisation, and the development of new technologies, AI is more accessible even to the general public. AI can be utilised for the early identification of skin cancer. Timely identification is crucial for the efficient management and improved results of skin cancer. Recently, there has been a significant surge in the development of computer-aided diagnostics systems for the detection of skin cancer, utilising AI technology. This chapter focusses on the progress made in using digital image-based AI technologies for diagnosing skin cancer.
Chapters in this book
- Frontmatter I
- Preface V
- Foreword VII
- Contents IX
- About the authors XVII
- Chapter 1 Artificial intelligence in cancer treatment and management 1
- Chapter 2 AI-based approaches to cancer drug discovery 27
- Chapter 3 Integrating AI and digital twin technology in cancer therapy 47
- Chapter 4 AI for enhanced cancer detection and diagnosis 63
- Chapter 5 AI-guided surgical interventions for cancer and tumor removal 99
- Chapter 6 Artificial intelligence in breast cancer management 121
- Chapter 7 AI innovations in colorectal cancer detection and treatment 143
- Chapter 8 AI applications in brain cancer therapy 165
- Chapter 9 Leveraging AI for liver cancer diagnosis and treatment 191
- Chapter 10 AI-driven advances in lung cancer care 213
- Chapter 11 Artificial intelligence in prostate cancer detection and management 243
- Chapter 12 AI solutions for skin cancer diagnosis and treatment 265
- Index 345
- De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences
Chapters in this book
- Frontmatter I
- Preface V
- Foreword VII
- Contents IX
- About the authors XVII
- Chapter 1 Artificial intelligence in cancer treatment and management 1
- Chapter 2 AI-based approaches to cancer drug discovery 27
- Chapter 3 Integrating AI and digital twin technology in cancer therapy 47
- Chapter 4 AI for enhanced cancer detection and diagnosis 63
- Chapter 5 AI-guided surgical interventions for cancer and tumor removal 99
- Chapter 6 Artificial intelligence in breast cancer management 121
- Chapter 7 AI innovations in colorectal cancer detection and treatment 143
- Chapter 8 AI applications in brain cancer therapy 165
- Chapter 9 Leveraging AI for liver cancer diagnosis and treatment 191
- Chapter 10 AI-driven advances in lung cancer care 213
- Chapter 11 Artificial intelligence in prostate cancer detection and management 243
- Chapter 12 AI solutions for skin cancer diagnosis and treatment 265
- Index 345
- De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences
