Smart Engineering: Integrating Artificial Intelligence and Bioengineering

A special issue of Bioengineering (ISSN 2306-5354).

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2636

Special Issue Editor


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Guest Editor
Centro Nazionale TISP, Istituto Superiore di Sanità, Rome, Italy
Interests: biomedical engineering; robotics; artificial intelligence; digital health; rehabilitation; smart technology; cybersecurity; mental health; animal-assisted therapy; social robotics; acceptance; diagnostic pathology and radiology; medical imaging; patient safety; healthcare quality; health assessment; chronic disease
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Special Issue Information

Dear Colleagues,

We would like to invite you to contribute to our upcoming Special Issue, "Smart Engineering: integrating Artificial Intelligence and Bioengineering." The integration of artificial intelligence (AI) in bioengineering has the potential to transform the field.

This Special Issue aims to provide a platform for researchers, practitioners, and policymakers to share their latest findings, perspectives, and insights on the intersection of AI and bioengineering. The use of AI in bioengineering can revolutionize the way we design and develop biomedical devices, sensors, and materials. AI can analyze large amounts of data with high accuracy and speed, providing insights that would be difficult or impossible to uncover through traditional methods. This Special Issue will explore the progress made in this field to date, current state of affairs, and future directions.

We welcome original research articles, review papers, and case studies that include, though this list is not exclusive, the following topics:

  • AI-assisted design and optimization of biomedical devices and sensors;
  • Machine learning in bioengineering and biomedical applications;
  • AI in drug discovery and development;
  • AI-based models for biological systems and processes;
  • Ethical and social implications of AI integration in bioengineering;
  • Regulatory challenges and opportunities in AI-based biomedical research and development.

We encourage submissions that highlight innovative approaches, new methodologies, and real-world applications that demonstrate the potential of AI in bioengineering while also addressing the challenges and risks associated with its integration.

We look forward to receiving your contributions to this Special Issue and making it a success. If you have any questions or require further information, please do not hesitate to contact us.

Dr. Daniele Giansanti
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.

Keywords

  • bioengineering
  • smart engineering
  • artificial Intelligence
  • care robots
  • wearable devices
  • medical devices
  • mobile health
  • biomedical instrumentation
  • deep learning
  • machine learning
  • IoT

Published Papers (2 papers)

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Editorial

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5 pages, 891 KiB  
Editorial
Synergizing Intelligence and Building a Smarter Future: Artificial Intelligence Meets Bioengineering
by Daniele Giansanti
Bioengineering 2023, 10(6), 691; https://doi.org/10.3390/bioengineering10060691 - 06 Jun 2023
Cited by 1 | Viewed by 687
Abstract
Smart Engineering (SE) describes the methods, processes, and IT tools for the interdisciplinary, system-oriented development of innovative, intelligent, networked products, production plants, and infrastructures [...] Full article
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Review

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25 pages, 606 KiB  
Review
Advancing Glaucoma Care: Integrating Artificial Intelligence in Diagnosis, Management, and Progression Detection
by Yan Zhu, Rebecca Salowe, Caven Chow, Shuo Li, Osbert Bastani and Joan M. O’Brien
Bioengineering 2024, 11(2), 122; https://doi.org/10.3390/bioengineering11020122 - 26 Jan 2024
Viewed by 1601
Abstract
Glaucoma, the leading cause of irreversible blindness worldwide, comprises a group of progressive optic neuropathies requiring early detection and lifelong treatment to preserve vision. Artificial intelligence (AI) technologies are now demonstrating transformative potential across the spectrum of clinical glaucoma care. This review summarizes [...] Read more.
Glaucoma, the leading cause of irreversible blindness worldwide, comprises a group of progressive optic neuropathies requiring early detection and lifelong treatment to preserve vision. Artificial intelligence (AI) technologies are now demonstrating transformative potential across the spectrum of clinical glaucoma care. This review summarizes current capabilities, future outlooks, and practical translation considerations. For enhanced screening, algorithms analyzing retinal photographs and machine learning models synthesizing risk factors can identify high-risk patients needing diagnostic workup and close follow-up. To augment definitive diagnosis, deep learning techniques detect characteristic glaucomatous patterns by interpreting results from optical coherence tomography, visual field testing, fundus photography, and other ocular imaging. AI-powered platforms also enable continuous monitoring, with algorithms that analyze longitudinal data alerting physicians about rapid disease progression. By integrating predictive analytics with patient-specific parameters, AI can also guide precision medicine for individualized glaucoma treatment selections. Advances in robotic surgery and computer-based guidance demonstrate AI’s potential to improve surgical outcomes and surgical training. Beyond the clinic, AI chatbots and reminder systems could provide patient education and counseling to promote medication adherence. However, thoughtful approaches to clinical integration, usability, diversity, and ethical implications remain critical to successfully implementing these emerging technologies. This review highlights AI’s vast capabilities to transform glaucoma care while summarizing key achievements, future prospects, and practical considerations to progress from bench to bedside. Full article
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