WESTSCIENCE PRESSWESTSCIENCE PRESS

West Science Law and Human RightsWest Science Law and Human Rights

Breast cancer care is becoming one of the main areas of development of artificial intelligence (AI), with applications including screening and diagnosis, risk calculation, disease progression, clinical decision support, management planning, and precision medicine. This paper will review the ethical, legal, and social implications of these developments, including the values embedded in algorithms, evaluation of results, issues of bias, data ownership, confidentiality, and consent, as well as legal, moral, and professional responsibilities. Additionally, we also need to consider the potential impact on patients, including trust in healthcare, as well as explaining the reasons why AI is being implemented quickly. Resolving this challenge requires the involvement of professionals, governments and regulators, health care providers, and patients, regarding the imposition of conditions on implementation, and preventive monitoring systems to ensure development does not move too quickly ahead of evaluation and discussion.

The author argues that addressing the ethical issues arising from the use of AI in breast cancer diagnosis requires concrete steps.Firstly, IT professionals involved in the implementation of AI must prioritize patient data privacy and security throughout the process.Furthermore, efforts to mitigate bias in AI development should be integral in algorithms and ensure transparency in decision-making to technology development.With this comprehensive approach, we can ensure that the utilization of AI in breast cancer diagnosis is not only medically effective but also meets high ethical standards and builds patient trust, maximizing benefits for society.

Penelitian lebih lanjut perlu dilakukan untuk mengeksplorasi bagaimana bias dalam algoritma AI dapat diidentifikasi dan dikurangi secara efektif dalam konteks diagnosis kanker payudara, dengan mempertimbangkan keragaman data pasien dan potensi dampak diskriminatif. Selain itu, studi komparatif diperlukan untuk menganalisis berbagai pendekatan regulasi dan kebijakan terkait penggunaan AI dalam perawatan kesehatan di berbagai negara, guna mengidentifikasi praktik terbaik dan mengembangkan kerangka kerja yang komprehensif untuk memastikan keamanan dan etika. Terakhir, penelitian kualitatif yang mendalam perlu dilakukan untuk memahami perspektif pasien mengenai penggunaan AI dalam diagnosis dan pengobatan kanker payudara, termasuk tingkat kepercayaan mereka, kekhawatiran tentang privasi data, dan preferensi mereka terkait dengan transparansi dan penjelasan mengenai keputusan yang dibuat oleh sistem AI, sehingga dapat meningkatkan penerimaan dan kolaborasi pasien dalam implementasi teknologi ini.

Read online
File size307.19 KB
Pages5
DMCAReport

Related /

ads-block-test