In recent decades, the US and Australia have seen an increase in skin diseases, including malignant neoplasms. Early detection of such pathologies is critical for successful treatment and reduced mortality. Artificial intelligence (AI) is emerging as a key tool in dermatology, providing new opportunities for diagnosing and monitoring skin lesions.
How AI works in the diagnosis of skin masses
Artificial intelligence in dermatology is based on computer vision and deep learning technologies.Algorithms are trained on large medical databases containing images of various skin conditions. This allows AI to analyze skin photos, identify pathologies and distinguish benign from malignant lesions. For example, convolutional neural networks can identify malignant neoplasms with high accuracy, helping doctors make informed clinical decisions.
Opportunities and benefits of AI applications
Today’s AI applications can recognize more than a hundred types of skin growths, including moles, melanoma, actinic keratosis, warts, and others. They assess the relative risk level (low, medium, high) and provide preliminary results in seconds. This makes diagnosis accessible via smartphone, without the need to visit a doctor. For example, the SkinAI app combines AI technology and user-centered design to offer AI-assisted neoplasia analysis and risk assessment.
AI’s accuracy in diagnosis
Studies show that AI can achieve a level of accuracy comparable to skilled dermatologists. For example, in one study, an algorithm trained on 2,032 different skin conditions demonstrated performance comparable to dermatologists. However, it is important to realize that AI does not replace the physician, but is a powerful tool for initial assessment and decision support.
Safety and ethical considerations
When using AI applications, user privacy is important. Such apps do not diagnose, but assist in self-diagnosis by providing a preliminary risk assessment. If potentially dangerous growths are identified, it is recommended to consult a doctor for a professional examination. This emphasizes the need for responsible use of technology and adherence to ethical standards in medical practice.
The future of AI in dermatology
Future prospects for AI in dermatology include integration with telemedicine, improving the accuracy of algorithms through machine learning, and developing technologies to predict the evolution of skin growths. For example, Australia is developing a multifunctional handheld digital dermatoscope that will allow doctors to see things that were inaccessible using standard diagnostic methods. Such innovations could greatly improve early diagnosis and monitoring of skin diseases.
Conclusion
Self-diagnosis using AI applications is an important step in taking care of one’s health, but it is not a substitute for a professional checkup. Artificial intelligence technologies help people identify risks in a timely manner and contact specialists for further examination. It is recommended to use such apps to monitor skin masses and consult a doctor if necessary.
Recommendations for patients
In this way, artificial intelligence is becoming an important tool in the early detection of skin disease risks, contributing to improving people’s health and quality of life.
