International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | DermaTrust AI: A Bias-Resilient, Explainable Multimodal Dermatology Framework with Intelligent Doctor Collaboration |
|---|---|
| ABSTRACT | By enabling automated skin disease classification using medical photos, artificial intelligence (AI) has greatly improved dermatological diagnosis. However, there are a number of serious issues with current AI-based systems, including as performance bias across a range of demographics, limited trustworthiness, and a lack of transparency. Furthermore, the majority of existing methods function autonomously without significant cooperation with medical experts, which restricts their suitability in actual clinical settings. This research presents DermaTrust AI, a conceptual framework that combines intelligent doctor cooperation, explainable AI, multimodal learning, and bias detection to address these issues. The suggested framework presents a bias-aware and trust-driven decision mechanism that dynamically adjusts based on prediction confidence and fairness, in contrast to conventional systems that solely concentrate on prediction accuracy. The system is built to detect any bias, provide human-readable explanations for its forecasts, and consult medical professionals when needed. In order to lay the groundwork for the creation of next-generation AI-assisted dermatology systems, the suggested framework seeks to improve diagnostic reliability, fairness, and usability. |
| AUTHOR | MADHUSHREE B M, NANDITA R, POORNIMA S D, R N SOUNDARYA, PROF. ARCHANA K N UG Students, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India Assistant Professor, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404081 |
| pdf/81_DermaTrust AI A Bias-Resilient, Explainable Multimodal Dermatology Framework with Intelligent Doctor Collaboration.pdf | |
| KEYWORDS | |
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