Artificial Intelligence in PET/CT Oncologic Imaging

Artificial intelligence (AI) is being used in PET/CT imaging to detect disease, define tissue characterization, stage, and correlate with molecular biomarkers, providing the best possible treatment to patients suffering from cancer.

Format: Hardback
Length: 151 pages
Publication date: 23 October 2022
Publisher: Springer International Publishing AG

The present book delves into the realm of artificial intelligence (AI) applications, offering valuable insights into their potential role in disease detection, tissue characterization, staging, and correlation with molecular biomarkers. Initially envisioned as a noninvasive tool for molecular phenotyping and quantification in the 1970s, PET (positron emission tomography) has witnessed significant technological advancements in the 2000s, leading to a renewed surge of interest in quantification. This growth has been particularly notable over the past five years. Parallel to this progress, the development of artificial intelligence (AI) systems in oncology has gained momentum, driven by the ultimate goal of delivering the most effective treatment to patients afflicted with various types of cancer, including lung, breast, brain, prostate, liver, and more.

Within the chapters of this book, readers are provided with a comprehensive overview of the utilization of AI in PET/CT imaging for diverse cancer types. This resource is particularly valuable for nuclear medicine physicians and oncologists, as it offers aprehensive understanding of the latest advancements in this field.

By leveraging the power of AI, PET/CT imaging has the potential to revolutionize the way cancer is diagnosed, staged, and treated. By analyzing the intricate patterns and characteristics of tumors, AI algorithms can aid in accurate disease identification, enabling timely and targeted interventions. Moreover, AI can help in tissue characterization, distinguishing between benign and malignant tumors, which is crucial for determining the appropriate treatment plan.

In addition to its diagnostic capabilities, AI can also play a pivotal role in staging cancer, providing valuable information about the extent and spread of the disease. By analyzing PET/CT images, AI algorithms can identify tumor hotspots and predict the likelihood of metastasis, allowing for more precise treatment planning and improved patient outcomes.

Furthermore, AI can facilitate the correlation of PET/CT imaging with molecular biomarkers, providing insights into the genetic and molecular characteristics of tumors. This information can help in personalized medicine, where treatments are tailored to the specific genetic makeup of each patient, leading to improved outcomes and reduced side effects.

Overall, the present book serves as a valuable resource for healthcare professionals seeking to harness the power of AI in PET/CT imaging for cancer diagnosis, staging, and treatment. By exploring the latest advancements in this field, readers can gain a deeper understanding of the potential benefits of AI in improving cancer care and outcomes.

Weight: 542g
Dimension: 254 x 178 (mm)
ISBN-13: 9783031100895
Edition number: 1st ed. 2022