How Indian Dermatologists are Utilizing Artificial Intelligence for Clinical Practice and Workflow Management: A Nationwide Survey with a Special Focus on atopic dermatitis
arXiv:2607.01252v1 Announce Type: cross Abstract: Background: Dermatology AI has mainly focused on image-based diagnosis, while chronic disease workflows have received less attention. We surveyed Indian dermatologists to map routine clinical challenges, with a focus on atopic dermatitis (AD), and assess current AI use. Methods: A nationwide cross-sectional survey commissioned by the Society for Eczema Studies included 377 practicing Indian dermatologists. The survey assessed clinical challenges, AD workflow barriers, AI use, adoption barriers, and ethical concerns. Analyses used descriptive st
The increasing maturity of AI in medical imaging and the growing digital infrastructure in countries like India are enabling practical applications in clinical settings.
This survey provides direct insights into the adoption and integration challenges of AI in healthcare, particularly in a large and diverse market like India.
The focus of medical AI is beginning to shift from purely diagnostic tools to workflow management and chronic disease, highlighting new avenues for development and implementation.
- · AI healthcare solution providers
- · Indian dermatologists (early adopters)
- · Patients with chronic skin conditions
- · Traditional diagnostic software developers
- · Healthcare systems slow to adopt AI
Increased development and adoption of AI tools specifically designed for clinical workflow and chronic disease management in dermatology.
Expansion of AI applications beyond dermatology to other medical specialties facing similar workflow challenges and chronic disease burdens.
Potential for new regulatory frameworks and ethical guidelines tailored to the unique considerations of AI in clinical practice and patient data management.
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Read at arXiv cs.AI