Using Artificial Intelligence (AI) to improve skin cancer screening - Pubrica

1. USING ARTIFICIAL INTELLIGENCE (AI) TO IMPROVE SKIN CANCERSCREENING An Academic presentationby Dr. Nancy Agens, Head, Technical Operations, Pubrica Group: www.pubrica.com Email:sales@pubrica.com

2. Today'sDiscussion Outline ofTopics Introduction Usage of AI Technology SkinImaging AI for Screening Skin Cancer Convolutional Neural Network (CNN) Conclusion

3. Introduction The very extreme cancer has shown its nature of the effect and has spread to almost all the body organs like bone cancer, lung cancer, breast cancer, colon cancer, skin canceretc. Cancer society, like the American Cancer Society, National Cancer Institute, World Health Organization has defined cancer as a spread of anomaly cells in an uncontrolled fashion in the diseasedorgan. It was estimated that overall deaths have come up to 9.6 million during 2018, and in the year 2019, 1.7 million new cases of cancer were yet to bediagnosed.

4. Usage of AITechnology Most of the cancers spread the disease internally without showing any external symptoms in the body, but skin cancer spread extra growth lump which appearsexternally. AI technology can be implemented in different sectors of healthcare data, either structured orunstructured. The most widespread AI techniques applied are machine learning methodologies to analyse structured data and for unstructured data analysis neural network and classical support vector machine, natural language processing and modern deeplearning. The most prevalent usage of AI tools in screening diseases like cardiology, cancer and neurology.

5. SkinImaging AI technology is apt to dermatology to recognize and capture the image fordiagnosis. Patches on the skin are screened by dermoscopy, reflectance confocal microscopy (RCM) and very high-frequency (VHF), however, each technology of skin imaging has its own advantages anddisadvantages. The skin imaging technology has gained its significance in the clinical diagnosis of skin cancer, and these techniques are widely accepted by the entire dermatologist inworldwide.

6. AI for Screening SkinCancer It has become essential to overcome various skin problems, even though doctors screen the skin cancer patients with sophisticated diagnostic tools, the post diagnosis, treatment and response to the treatment and drugs depends on the inter-individualvariation. Moreover, screening the skin cancer patient involves invasive method like a biopsy of skin tissue and examining for the cause of cancer, which is a laboriousprocess. To avoid incision and time consumption, doctors introduced the non-invasive application of Artificial Intelligenceto screen skin cancerpatients. Although AI technology is a new tool for screening skin cancer, it is still at a very earlystage.

7. Convolutional Neural Network(CNN) Deep learning Convolutional Neural Network(CNN) was found to be the better diagnostic tool for screening skincancer. CNN diagnose by capturing images and moles on the skin through an artificial neural network and can differentiate the skin cancer between benign and malignant lesions quickly, which will help physicians to biopsy a lesion ornot. Moreover, the advancement of deep neural network installed in mobile devices can guide the doctors even when outside theclinic.

8. Conclusion Artificial intelligence (AI) technology is helping doctors to draw a significant conclusion about patient’sreports. Medical imaging systems after performing a scan to the human body deliver signals if it detects anomalies and can guide doctors to screen the anomaly to save the patient’slife. In the case of patients with skin cancer, the use of Automated Total Body Mapping along with AI results in better consistency in the earliest detection of skincancer. AI cannot replace human intelligence and experience in the detection of skin cancer: In the end, the doctor decides what todo.”

9. ContactUs UNITEDKINGDOM +44-1143520021 INDIA +91-9884350006 EMAIL sales@pubrica.com