Machine learning and artificial intelligence (AI) have been making significant advancements in various scientific fields in recent years, leading to groundbreaking discoveries. Biomedicine, the application of biological principles to healthcare technologies, has greatly benefited from the combination of these technologies. Through the use of AI algorithms, machine learning plays a crucial role in developing accurate models to support physicians in making informed decisions.
To address the need for transparency in AI-based biomedical decisions, explainable artificial intelligence techniques are being developed. These techniques allow physicians to understand the decisions made by the AI models they utilize, ensuring a collaborative approach to patient care.
The second volume of the Machine Learning and Artificial Intelligence for Biomedical Applications Special Issue focuses on the latest research in this field. Researchers are invited to submit their manuscripts for publication in the Bioengineering journal, where accepted papers will be published online upon approval.
Manuscripts must be original and not under consideration for publication elsewhere. A single-blind peer-review process ensures the quality of submissions, with accepted papers listed on the special issue website. Authors are encouraged to adhere to the Instructions for Authors provided by MDPI, the publisher of Bioengineering.
To support open access publishing, authors are required to pay an Article Processing Charge (APC) of 2700 CHF (Swiss Francs) upon acceptance of their manuscript. English editing services are available to help authors prepare their papers for publication.
As the field of biomedicine continues to evolve with the integration of AI and machine learning, researchers play a crucial role in advancing healthcare technologies. By promoting collaboration between AI technologies and healthcare professionals, the future of biomedicine looks promising with improved patient outcomes and innovative solutions for complex medical challenges.
