Article Dans Une Revue AIMS bioengineering Année : 2024

Artificial intelligence in bioengineering: pioneering advances in medical robotics, imaging, and personalized therapeutics

Résumé

Editorial to the special issue

Recently, the integration of Artificial Intelligence (AI) in bioengineering heralds a transformative leap forward for medical science and patient care. AI's ability to process vast datasets beyond human capability has paved the way for groundbreaking advancements. From robots conducting surgery to algorithms predicting disease patterns, the synergy of these fields is setting new frontiers. However, the path to integrating AI into medical robotics, imaging, and personalized therapeutics is fraught with multifaceted challenges. These span from technical obstacles, such as the need for high-fidelity algorithms capable of real-time processing, to ethical concerns around patient data security and algorithmic transparency. In medical robotics, the delicate balance between autonomy and human oversight raises questions about liability and trust in machine precision. Imaging, while vastly improved by AI, still must overcome hurdles in standardization and interpretation across heterogeneous medical systems. Personalized therapeutics, perhaps the most promising, must navigate the complexities of integrating genomic data with clinical practice, ensuring equitable access while tailoring individual treatment.

This special issue is therefore poised at the innovative strides and research at the intersection of AI and bioengineering. The authors from different backgrounds (such as artificial intelligence, robotics, computer science, and bioengineering) are welcome to share their theoretical and experimental solutions or frameworks to enhance medical robotics, imaging, and personalized therapeutics. Review articles are also encouraged.

Dates et versions

hal-05072236 , version 1 (18-05-2025)

Identifiants

Citer

Hang Su, Wen Qi, Juan Sandoval. Artificial intelligence in bioengineering: pioneering advances in medical robotics, imaging, and personalized therapeutics. AIMS bioengineering, 2024, 11 (4), pp.598--599. ⟨10.3934/bioeng.2024027⟩. ⟨hal-05072236⟩
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