“Ethical Challenges and Solutions in AI-Powered Digital Health”

Addressing ethical issues in AI advancements is crucial for ensuring positive contributions to healthcare without compromising ethical standards and patient trust. This paper explores the ethical challenges around the use of Artificial Intelligence (AI) in digital health, focusing on data privacy, algorithmic bias, and transparency in autonomy. Therefore, the results show the existing issues of data vulnerability, including patient data leakage, stressing the importance of strong data protection mechanisms. Cases of bias in handling AI algorithms were pointed out primarily resulting in the inequality of health care provision, and hence the need to build better training data and techniques for bias elimination. The inability to reveal how and why an AI solution reached a particular conclusion undermines the patient's confidence in a given product or service, which is where the concepts of explainable AI and accountability come in. Ethical concerns regarding data privacy and trust erosion in medical practice are a growing concern. A qualitative study reveals significant gaps in existing literature on AI ethics in healthcare. the paper highlights key recommendations include enhanced regulatory frameworks, robust data protection measures, and increased transparency in AI algorithms to manage these ethical concerns. These solutions aim to ensure that the use of AI in healthcare is well-controlled, enhancing the healthcare system while respecting patient rights. Key funding and contributions from well-wishers have been instrumental in supporting this research, providing resources and insights essential for addressing these critical ethical challenges.