A Review on Innovation of Artificial Intelligence in Cutaneous Oncology

Authors

  • Uma AN Principal of School of Allied Health Sciences, Professor of Medical Genetics, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth, Puducherry, India
  • Sowmya D Assistant Professor in School of Allied Health Sciences, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth, Puducherry, India
  • Siva Priya J Tutor in School of Allied Health Sciences, Professor of Medical Genetics, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth, Puducherry, India
  • Arun Prasath AHS Student in School of Allied Health Sciences, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth, Puducherry, India
  • Priyavarshini AHS Student in School of Allied Health Sciences, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth, Puducherry, India
  • Kiruthika B A AHS Student in School of Allied Health Sciences, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth, Puducherry, India

Keywords:

Skin, Etiological factors, Deep learning, Conventional machine, Investigations

Abstract

Artificial intelligence (AI) is the system consisting of programs that are made in a computer used to replicate human reasoning and features like learning, creativity and responsiveness. The artificial intelligence system is faster comparatively to the human, because it’s faster, autonomous and have no physiological needs and AI system may outperform humans in various occasions like variety of tasks, especially in the medical field in recent times. After the arrival of AI systems, Radiology and Pathology are the areas were highly beneficial. Nowadays, due to etiological factors, increasing in the skin cancer is trending. Australia is the skin cancer capital of the world and had the highest overall rate of non-melanoma skin cancer in 2020, followed by New Zealand. In this disease, skin biopsy and Histopathology findings are the commonest investigations. The artificial intelligence system plays major role in the category of Melanoma, Non- Melanoma skin cancers. Diagnostic procedures are simplified in recent times and there is a diagnostic application which is available even in smart phones to track easily. Risks include, smartphone application may lead some risks, especially if it shows negative results and treatment or detection may delay. It is concluded as it’s hard to claim that an AI system helps to show 100% success rate, but deep learning or conventional machine learning showing better results. Also, some publications have reported that it shows superior results to the Dermatologist.

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Published

13-12-2023

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Articles

How to Cite

Uma AN, Sowmya D, Siva Priya J, Prasath, A., Priyavarshini, & Kiruthika B A. (2023). A Review on Innovation of Artificial Intelligence in Cutaneous Oncology. TWIST, 18(4), 179-182. https://twistjournal.net/twist/article/view/65

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