This short communication proposes that AI could ease seafarers' limited healthcare access, fatigue, and mental health risks through telemedicine, clinical decision support, and predictive analytics, provided data privacy, transparency, and equitable access are safeguarded.

The article frames seafarers' core occupational health challenges as limited access to healthcare, fatigue, and mental health risks, and positions AI as a potential tool for addressing them. Relative to prior work discussing seafarer fatigue or general AI health ethics separately, this article places maritime occupational health and AI health applications within a single framing. This is a short communication built on argument and citation rather than original data, samples, or empirical evaluation; cited sources include the ILO Maritime Labour Convention 2006 as amended in 2022, a 2008 review of seafarers' fatigue, and the WHO 2021 document on ethics and governance of AI for health.

The article states that AI applications in telemedicine, clinical decision support, and predictive analytics could enhance prevention, early detection, and continuity of care at sea. It maps specific directions of AI health application onto the maritime setting rather than discussing digital health in general terms. This is a discursive judgment about potential opportunities; the text provides no specific systems, deployment cases, or outcome data.

The article emphasizes that effective integration of AI requires ethical safeguards for data privacy, transparency, and equitable access, and argues that responsible AI use may contribute to safer and more resilient maritime health systems. It presents ethical governance as a precondition for AI adoption in maritime health rather than an afterthought. A normative argument referencing the WHO 2021 document on ethics and governance of AI for health, without implementation assessment or comparative evidence.

The article addresses readers concerned with maritime occupational health, telemedicine, and AI governance, including maritime health service providers, policymakers, and researchers. Its discussion applies to the specific setting of health services at sea and for seafarers, proposing directions for AI in telemedicine, clinical decision support, and predictive analytics along with ethical requirements for data privacy, transparency, and equitable access, and can serve as a framing of issues for subsequent research and policy discussion.

The reading scope is incomplete, with only the abstract, keywords, and references available, so the body's argumentative structure, specific cases, and elaboration cannot be confirmed; it is therefore not possible to judge the depth of the discussion of AI application scenarios or to confirm whether implementation pathways or policy recommendations are included. Readers may watch how the proposed telemedicine, clinical decision support, and predictive analytics would operate under maritime communication conditions and regulatory frameworks, and how data privacy, transparency, and equitable access requirements would be coordinated across different flag states and jurisdictions, which remain open questions in the available text.