.png){kind=icon}
Return
Artificial intelligence-enabled digital biomedical engineering
.png){kind=icon}
OA
AI
DOI：10.1002/bmm2.70049.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Artificial intelligence (AI) has emerged as a transformative force in biomedical engineering, catalyzing a shift toward data-driven, intelligent research paradigms. With its advanced capabilities in computation, pattern recognition, and large-scale data analysis, AI significantly enhances the efficiency, precision, and reproducibility of biomedical research. In particular, the convergence of AI with biomedical engineering has given rise to the emerging field of Digital Biomedical Engineering, which emphasizes the integration of AI technologies, big data analytics, and computational modeling to enable smart, predictive, and personalized solutions across life sciences. This review provides a comprehensive overview of the current landscape of AI applications in biomedical engineering, highlighting advances in medical image analysis, biosignal processing, biomaterials design, and drug development. It also emphasizes how AI improves diagnostic precision, accelerates material and drug discovery, and fosters personalized and predictive medicine. Additionally, it discusses the limitations and regulatory challenges of AI adoption, while outlining future directions to guide research innovation and clinical translation in the era of digital biomedicine.
Keywords:
artificial intelligence
biomaterials design
digital biomedical engineering
digital biomedicine
drug discovery
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
B
IF:
15.5
Papers:
54
Citations:
796
Organization
Cited Papers
Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back.png)
Science
OAAI
ScienceIF0
OAAIShareSaveShareSaveThe state of artificial intelligence-based FDA-approved medical devices and algorithms: an online databaseNPJ DIGITAL MEDICINEOAAI
NPJ DIGITAL MEDICINEIF15.1
OAAIShareSaveEmotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendationsINFORMATION FUSIONOAAI
INFORMATION FUSIONIF15.5
OAAIShareSaveShareSaveShareSaveShareSave
View more