With the advancement of medical imaging, the diagnosis and treatment of various conditions have undergone a revolution. Recently, artificial intelligence, especially deep learning methods, has been instrumental and ubiquitous in the development of sophisticated medical imaging algorithms, leading to groundbreaking innovations in biosciences for diagnosis and treatment. Artificial Intelligence has opened doors to unmatched opportunities in understanding the complexity of the human body and its behavior. Therefore, these technologies offer immense potential in biosciences and medicine. Thus, the use of artificial intelligence in medical imaging has inspired the development of effective applications and methods in biomedicine and biosciences, such as diagnosis, treatment, monitoring, biological modeling and simulation, etc.
The aim of this Research Topic is to give the researchers and scientists the opportunity to provide new tendencies, latest achievements and research directions as well as present their current work on the important problems of medical imaging and artificial intelligence in biosciences for diagnosis and treatment, signal and image processing techniques in biosciences, deep learning methods, biomatics and biomedicine, soft computing methods in biosciences, bioimpedance measurement in biosciences, molecular recognition and applied robotic solutions in biosciences and medicine. The integration of medical imaging with artificial intelligence has recently emerged as a transformative advancement in medicine and biosciences, offering significant potential to enhance diagnostic accuracy, optimize treatment planning, molecular diagnostics and therapeutics, and improve patient outcomes. Therefore, this Research Topic seeks to highlight recent advancements in this area.
In this Research Topic, Brief Research Report, Data Report, Editorial, Hypothesis and Theory, Methods, Mini Review, Original Research, Perspective, Review, Systematic Review, Technology and Code type articles are welcome. This Research Topic invites high-quality contributions and research areas may include (but not limited to) the following:
• Advances in medical imaging and molecular biosciences
• Artificial intelligence in biosciences
• Deep learning and vision transformers in biosciences
• Biomedical image and signal processing
• Pattern recognition and shape detection methods in biosciences
• Image segmentation and texture analysis in molecular biosciences
• Image enhancement and analysis
• Molecular biosciences and molecular recognition
• Modern engineering-based diagnosis and/or treatment methods
• Biosensing methods and applications
• Multi-sensor data fusion in biosciences
• Bioimpedance measurement in biosciences
• Biomatics and biomedicine
• Molecular diagnostics and therapeutics
Keywords: medical imaging, artificial intelligence, deep learning, biomatics, biomedicine, applied robotics solutions, signal processing, engineering-based diagnosis, biosensing
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
