Interdisciplinary Applications of AI: Dermatology and Psychology

Nova Shek *

Sun Academics Research Scholars, USA.

Eunseo Lee

Sun Academics Research Scholars, USA.

Grace Lee

Sun Academics Research Scholars, USA.

Hayden Ko

Sun Academics Research Scholars, USA.

Eugene Lee

Sun Academics Research Scholars, USA.

*Author to whom correspondence should be addressed.


Abstract

Artificial Intelligence (AI) is profoundly transforming interdisciplinary domains like dermatology and psychology, providing revolutionary possibilities in the areas of diagnosis, treatment, and patient care. AI-driven solutions in dermatology are improving diagnostic accuracy by analyzing medical photos to identify skin disorders such as melanoma with a level of precision comparable to that of professional dermatologists. These technologies utilize machine learning algorithms that have been trained on extensive datasets to detect minor patterns and anomalies in skin lesions. This enables the early detection of skin conditions and the creation of personalized treatment strategies. Moreover, artificial intelligence (AI) assists in optimizing the efficiency of workflows, minimizing diagnostic inaccuracies, and enhancing the availability of dermatological treatment, particularly in places with limited access to healthcare services. Within the field of psychology, artificial intelligence (AI) has a significant influence. It is utilized to assess individuals' mental well-being by analyzing their text and speech patterns, employing techniques such as natural language processing and sentiment analysis. Artificial intelligence algorithms have the capability to observe and analyze patient interactions, offering immediate and accurate observations regarding emotional states and possible psychological illnesses. The incorporation of AI enables more precise evaluations and prompt actions, enhancing conventional therapeutic methods. In addition, chatbots and virtual therapists that utilise artificial intelligence provide instant assistance and ongoing supervision, thereby extending the accessibility of mental health care. The integration of AI with dermatology and psychology not only improves diagnostic skills and treatment results but also highlights the significance of interdisciplinary collaboration in advancing healthcare. By using artificial intelligence (AI), these industries can utilize data-driven analysis to provide more accurate, tailored, and easily accessible healthcare, thereby enhancing patient results and quality of life.

Keywords: Artificial Intelligence (AI), dermatology, psychology, patient


How to Cite

Shek, Nova, Eunseo Lee, Grace Lee, Hayden Ko, and Eugene Lee. 2024. “Interdisciplinary Applications of AI: Dermatology and Psychology”. Journal of Engineering Research and Reports 26 (8):34-48. https://doi.org/10.9734/jerr/2024/v26i81227.

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