Solid organ transplantation, or SOT, is a lifesaving procedure for those with severe organ failure. However, it's not without its challenges, such as the scarcity of available organs and the risk of rejection. This is where artificial intelligence (AI) comes into play. AI has the potential to enhance transplant outcomes by improving organ matching, predicting success, and automating processes. But how has AI been evolving in this field?

Researchers have been exploring this question using a method called bibliometric analysis. This technique helps identify trends, popular areas of study, and key players in the field. By visualizing this data, we can gain a better understanding of how AI is being applied in solid organ transplantation.

One of the main hurdles in SOT is the shortage of organs. AI can help by optimizing the matching process, ensuring that the right organ goes to the right person. Additionally, AI can predict the likelihood of a successful transplant, which is crucial for both patients and healthcare providers. This prediction can be based on various factors, such as the patient's health history and the organ's quality.

Automation is another area where AI can make a significant impact. From managing patient data to streamlining hospital operations, AI can help make the transplant process more efficient. This not only benefits the patients but also the healthcare system as a whole.

Despite these promising applications, the evolution of AI in SOT research is still not fully understood. This study aims to shed light on this topic by analyzing the trends and hotspots in the field. It identifies the key contributors who are driving innovation and pushing the boundaries of what's possible.

In conclusion, AI has the power to transform solid organ transplantation. By addressing challenges like organ shortage and rejection, AI can help save more lives. As research in this area continues to grow, we can expect even more advancements in the future.

AI's Role in Organ Transplants: A Fresh Look

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