首页|Bilkent University Reports Findings in Artificial Intelligence (Artificial Intel ligence in Breast Imaging: Opportunities, Challenges, and Legal-Ethical Consider ations)

Bilkent University Reports Findings in Artificial Intelligence (Artificial Intel ligence in Breast Imaging: Opportunities, Challenges, and Legal-Ethical Consider ations)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating from Ankar a, Turkey, by NewsRx correspondents, research stated, “This reviewexplores the transformative impact of artificial intelligence (AI) in breast imaging, driven by a global rise in breast cancer cases. Propelled by deep learning techniques, AI shows promise in refining diagnosticprocesses, yet adoption rates vary.”Our news editors obtained a quote from the research from Bilkent University, “It s ability to manage extensivedatasets and process multidimensional information holds potential for advancing precision medicinein breast cancer research. Howe ver, integration faces challenges, from data-related obstacles to ensuringtrans parency and trust in decision-making. Legal considerations, including the format ion of AI teamsand intellectual property protection, influence health care’s ad option of AI. Ethical dimensions underscorethe need for responsible AI implemen tation, emphasizing autonomy, well-being, safety, transparency, andaccessibilit y. Establishing a robust legal and ethical framework is crucial for conscientiou sly deploying AI,ensuring positive impacts on patient safety and treatment efca cy. As nations and organizations aspire toengage in global competition, not mer ely as consumers, the review highlights the critical importance ofdeveloping le gal regulations. A comprehensive approach, from AI team formation to end-user pr ocesses,is essential for navigating the complex terrain of AI applications in b reast imaging. Legal experts play akey role in ensuring compliance, managing ri sks, and fostering resilient integration.”

AnkaraTurkeyEurasiaArtificial Inte lligenceBreast CancerCancerEmerging TechnologiesHealth and MedicineLeg al IssuesMachine LearningOncologyWomen’s Health

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.22)