About this Research Topic
Solid organ transplantation has undoubtedly transformed modern medicine, offering renewed hope and extended lives to countless individuals. However, the complexity of transplantation, from donor selection and organ preservation to post-transplant monitoring and countering transplant rejection, presents intricate challenges. The recent breakthroughs in Artificial Intelligence, which include sophisticated computational tools and robotics, present an exciting opportunity to view the current challenges in transplantation through a different lens and address them with novel, powerful approaches. These approaches are more suited to solve the multifaceted and high dimensional issues facing transplantation professionals and patients. The integration of Artificial Intelligence into this domain has the potential to enhance every stage of transplantation, ushering in an era of foundational discoveries, optimized outcomes, and resource allocation.
The goal of this Research Topic is to promote the transformative potential of Artificial Intelligence in solid organ transplantation, fostering groundbreaking insights that optimize donor-recipient matching, organ quality assessment, immunosuppression management, predictive analytics, and more. We aim to catalyze advancements in AI that will revolutionize transplantation research and procedures, enhance patient care, and alleviate the pressing challenges posed by organ shortages, ultimately reshaping the landscape of solid organ transplantation through innovative AI-driven solutions.
We invite submissions that delve into various facets of AI applications in solid organ transplantation, including but not limited to:
• Donor-Recipient Matching: Explore AI-driven algorithms for precise and efficient matching.
• Organ Quality Assessment: Investigate AI-based techniques for real-time assessment of organ quality.
• Immunosuppression Management: Delve into AI-powered models that personalize immunosuppressive drug regimens.
• Predictive Analytics: Discuss the implementation of AI in predicting potential complications and outcomes.
• Organ Shortage Mitigation: Examine AI strategies for optimizing organ allocation systems, addressing the critical shortage of available organs ethically and efficiently.
• Surgical Assistance: Explore AI-assisted surgical techniques for transplantation procedures, aiding surgeons in precision and reducing operation times.
• Monitoring: Investigate remote monitoring solutions empowered by AI to track graft health and patient well-being post-transplantation.
• Transplantation Immunology: Utilize latest AI tools to investigate high dimensional single cell data (flow cytometry, sequencing, etc.).
The goal of this Research Topic is to promote the transformative potential of Artificial Intelligence in solid organ transplantation, fostering groundbreaking insights that optimize donor-recipient matching, organ quality assessment, immunosuppression management, predictive analytics, and more. We aim to catalyze advancements in AI that will revolutionize transplantation research and procedures, enhance patient care, and alleviate the pressing challenges posed by organ shortages, ultimately reshaping the landscape of solid organ transplantation through innovative AI-driven solutions.
We invite submissions that delve into various facets of AI applications in solid organ transplantation, including but not limited to:
• Donor-Recipient Matching: Explore AI-driven algorithms for precise and efficient matching.
• Organ Quality Assessment: Investigate AI-based techniques for real-time assessment of organ quality.
• Immunosuppression Management: Delve into AI-powered models that personalize immunosuppressive drug regimens.
• Predictive Analytics: Discuss the implementation of AI in predicting potential complications and outcomes.
• Organ Shortage Mitigation: Examine AI strategies for optimizing organ allocation systems, addressing the critical shortage of available organs ethically and efficiently.
• Surgical Assistance: Explore AI-assisted surgical techniques for transplantation procedures, aiding surgeons in precision and reducing operation times.
• Monitoring: Investigate remote monitoring solutions empowered by AI to track graft health and patient well-being post-transplantation.
• Transplantation Immunology: Utilize latest AI tools to investigate high dimensional single cell data (flow cytometry, sequencing, etc.).
Keywords: Artificial Intelligence, Solid Organ Transplantation, Machine Learning, Natural Language Processing, Deep Learning, Robotics, Computer Vision
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.
