Artificial intelligence (AI) is revolutionizing many areas in the healthcare sector. One of the emerging areas where AI is being increasingly applied is dermatology. However, the understanding of this technology in the field of dermatology is still limited, therefore business leaders working with healthcare institutions need to study this technology’s progress to help guide and shape the future of healthcare professionals and patients.
This article explores the top 3 applications of AI in the field of dermatology to help guide the AI investments of healthcare institutions.
Accurate skin cancer detection
Skin cancer such as melanoma has a very high fatality rate. Early detection can be one of the key factors in the successful treatment and cure of the disease. Research shows that AI-enabled computer vision systems can be used to accurately analyze images of lesions for melanoma diagnoses. The technology can be used for accurate disease classification and early diagnoses.
AI and computer vision-enabled smart applications are also available now for early cancer detection by taking images of skin abnormalities.
For example, google’s DermAssist can help detect skin conditions:
Better wound management
Globally, there are around 537 million diabetic adults and the number keeps increasing. Diabetes causes impairment of wound healing which then becomes prone to dangerous infections. Bacterial infection is one of the biggest challenges clinicians face while caring for diabetic patients.
AI is enabling clinicians to fight this invisible enemy with advanced wound assessment. By combining image recognition and AI, clinicians are now equipped with the technology to accurately analyze wounds and ulcers of diabetic patients to start the appropriate treatment before the bacteria spreads. Studies have shown that the technology can assess wounds with high accuracy.
See how ai can help save substantial costs for healthcare facilities and significantly reduce the workload of clinicians while providing accurate wound assessment and management.
Prediction of skin sensitizing chemicals
Substances and chemicals that can damage the skin are known as skin sensitizing substances. These are removed from all skin products such as skin care products, drugs, fragrances, etc. during the testing phase. A dying but still current practice in the skin products industry is testing new products on animals. In the modern world, animal testing is considered a cruel practice.
AI-enabled solutions for predicting skin sensitization can help in fighting this global issue. Studies show that AI-enabled approaches can help reduce animal testing.
While the limited research in this area shows promising future applications and benefits, this field of study is relatively new and needs more work.
AI-enabled applications in dermatology should not be considered as a replacement for dermatologists. The technology is only created to provide assistance to clinicians and enhance their capabilities in the diagnosis and treatment of skin conditions. Watch this video to understand this better:
You can check our data-driven lists of healthcare solutions and tools to the find the option that best suits your business needs:
- Top 7 Computer Vision Use Cases in Healthcare
- Computer Vision in Radiology: Benefits & Challenges
- Top 3 Benefits and Use Cases of AI in Pathology
If you have any questions, feel free to contact us:
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