This book introduces the revolutionary use of AI in the field of cervical cancer detection. The book explores how advanced computer algorithms can analyze medical images and patient data to enhance early detection and accurate diagnosis of cervical cancer. The book starts by providing a comprehensive overview of cervical cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of artificial intelligence and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in cervical cells and tissue, enabling the detection of abnormal cells and precancerous changes that may indicate the presence of cervical cancer. Drawing on the latest research and real-world case studies, the book showcases the various AI techniques used for cervical cancer screening, including the analysis of Pap smear and liquid-based cytology images. This book is an essential read for healthcare professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare.
Sejal Shah is the author of the debut essay collection This Is One Way to Dance (University of Georgia Press, 2020) and the short story collection How to Make Your Mother Cry: fictions (West Virginia University Press, 2024). Her essays and stories have appeared in Brevity, the Kenyon Review, Lit Hub, and the Rumpus, among others. She is the recipient of a New York Foundation for the Arts Fellowship, an award from the New York State Council for the Arts and residencies from Blue Mountain Center, The Millay Colony, The Ragdale Foundation, and the Virginia Center for the Creative Arts. She teaches creative writing and lives in Rochester, New York. Finder her online at www.sejal-shah.com and @sejalshahwrites on Instagram and @sejalshah on bluesky.