Application of Large AI Models to Biomedical Informatics

Dear Colleagues,

Utilizing the advanced deep learning techniques based on the Transformer network architecture, prominent large AI models like GPT, DALL.E, and SAM have found widespread application in reshaping various aspects of our daily lives. Trained on extensive and diverse datasets, these large AI models exhibit the ability to extract meaningful information from multimodal data. Leveraging transfer learning, pretrained large AI models can be fine-tuned to suit diverse biomedical information extraction tasks, including reconstruction, segmentation, classification, and abnormal detection, with data of different modalities, such as wearable sensors, contact-less monitoring devices, medical imaging, and genomics. While large AI models have shown considerable power, their application in medical informatics faces challenges, including dealing with the complexity and ambiguity of medical signals and images, the lack of extensive annotated medical datasets, concerns about model interpretability, and ensuring the robustness and reliability of AI in the complex environments of clinical applications.

This Special Issue invites high-quality submissions of communications, articles, and reviews that showcase cutting-edge methods for applying large AI models to biomedical informatics analysis. It also explores the construction methodology of large AI models tailored for biomedical informatics and evaluates their performance and robustness in complex clinical applications.

Prof. Dr. Yaoqin Xie
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• deep learning
• big data
• medical signal processing
• medical image processing
• bioinformatics