Guest editors Arman Rahmim, Babak Saboury, and Eliot Siegel contribute their expertise to the topic of Artificial Intelligence and PET Imaging in this issue of PET Clinics. They offer in-depth clinical reviews on the latest advancements in AI and PET Imaging, providing actionable insights for clinical practice. The authors synthesize and distill the latest research and practice guidelines to create timely, focused topic-based reviews.

Format: Hardback
Length: 240 pages
Publication date: 25 November 2021
Publisher: Elsevier - Health Sciences Division

In this issue of PET Clinics, esteemed guest editors Arman Rahmim, Babak Saboury, and Eliot Siegel grace us with their profound expertise on the captivating topic of Artificial Intelligence and PET Imaging. They present in-depth, clinical reviews that delve into the latest advancements in AI and PET Imaging, offering invaluable insights for clinical practice. Under the guidance of these experienced editors, the publication presents the most current information on this timely and focused subject, ensuring that readers are well-informed and up-to-date. The authors skillfully synthesize and distill the latest research and practice guidelines to craft these timely, topic-based reviews, making them a valuable resource for practitioners in the field.

Artificial Intelligence and PET Imaging

Artificial Intelligence (AI) has revolutionized the field of medical imaging, including PET imaging. AI algorithms can analyze large amounts of data and identify patterns that may be difficult for human observers to detect. This has led to improved accuracy and efficiency in diagnosing and staging diseases.

In this issue of PET Clinics, guest editors Arman Rahmim, Babak Saboury, and Eliot Siegel explore the latest developments in AI and PET Imaging. They provide in-depth clinical reviews on the latest updates in the field, offering actionable insights for clinical practice. The authors synthesize and distill the latest research and practice guidelines to create these timely, topic-based reviews, making them a valuable resource for practitioners in the field.

One of the key applications of AI in PET imaging is the development of personalized treatment plans. By analyzing patient data, AI algorithms can identify the most effective treatment options for each individual patient. This has the potential to improve patient outcomes and reduce the risk of complications.

Another area of interest in AI and PET imaging is the development of new imaging techniques. AI algorithms can be used to enhance image quality, reduce radiation exposure, and improve the accuracy of diagnosis. For example, AI-powered PET scanners can detect small lesions and tumors that may be difficult to detect with traditional imaging techniques.

However, there are also challenges associated with the use of AI in PET imaging. One of the biggest challenges is the need for large amounts of data to train AI algorithms. This can be a significant barrier to the widespread adoption of AI in PET imaging. Additionally, there are concerns about the transparency and reproducibility of AI algorithms, as well as the potential for bias in the data used to train them.

To address these challenges, it is important to develop guidelines and standards for the use of AI in PET imaging. This will ensure that AI algorithms are developed and tested in a rigorous and transparent manner, and that they are used in a way that is consistent with ethical principles. Additionally, there is a need for ongoing research to improve the accuracy and reliability of AI algorithms in PET imaging, as well as to develop new imaging techniques that can be used in conjunction with AI.

In conclusion, the use of AI in PET imaging has the potential to revolutionize the field of medical imaging. By providing accurate and efficient diagnosis, personalized treatment plans, and new imaging techniques, AI can improve patient outcomes and reduce the risk of complications. However, there are also challenges associated with the use of AI in PET imaging, and it is important to address these challenges through the development of guidelines and standards, as well as ongoing research.

Conclusion

In conclusion, this issue of PET Clinics provides a comprehensive and insightful exploration of the latest advancements in Artificial Intelligence and PET Imaging. The in-depth clinical reviews and actionable insights offered by the guest editors Arman Rahmim, Babak Saboury, and Eliot Siegel make this publication a valuable resource for practitioners in the field. As AI and PET Imaging continue to evolve, it is clear that they will play an increasingly important role in diagnosing and treating diseases. By staying informed and up-to-date with the latest developments, practitioners can ensure that they are providing the best possible care to their patients.

Weight: 648g
Dimension: 188 x 263 x 19 (mm)
ISBN-13: 9780323850131