In the healthcare industry, Artificial Intelligence (AI) is taking a giant leap, shifting the traditional setup with its technological advancement, which is becoming critical in terms of ethical implications. This study describes AI’s ethical dimensions in the medical field by summating the thoughts gathered from discussions held by focus groups with experts. A systematic literature review is conducted using the PRISMA methodology. The identified indicators provide an ethical framework for a thorough understanding of responsible AI implementation. The research methodology includes two stages. Firstly, we conducted in-depth focus group discussions with a wide range of stakeholders, including ethicists, healthcare practitioners, and AI specialists. The discussions explored emerging themes and ethical concerns related to AI implementation in the health industry. Secondly, we conducted a systematic literature review using the PRISMA methodology to ensure a thorough and transparent analysis of existing literature, covering ethical dimensions, guidelines and case studies. The ethical indicators identified include AI education for medical professionals, patient centricity, care and empowerment, technology disparity and sustainability. We have also discussed possible ways to improve these problems. We used Triangulation using UNESCO and WHO models to enhance the accuracy of the findings.