Introducing <i>AI in Precision Oncology</i>

摘要

AI in Precision OncologyAhead of Print EditorialFree AccessIntroducing AI in Precision OncologyDouglas B. FloraDouglas B. Flora*Address correspondence to: Douglas B. Flora, MD, LSSB, Editor-in-Chief, AI in Precision Oncology, E-mail Address: [email protected]Editor-in-Chief, AI in Precision OncologySearch for more papers by this authorPublished Online:17 Oct 2023https://doi.org/10.1089/aipo.2023.28999.editorialAboutSectionsPDF/EPUB Permissions & CitationsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookXLinked InRedditEmail Welcome to AI in Precision Oncology, a pioneering peer-reviewed research journal rooted in the transformative power of artificial intelligence (AI) in oncology. This journal will serve as a robust platform for disseminating rigorous, groundbreaking, high-quality peer-reviewed research, review articles, and captivating frontmatter to support the interests, needs, and innovation in the field and industry.My foremost goal as editor-in-chief, along with the goals of the incredible team of editorial board members, is to inform, innovate, and inspire. With this journal serving as a main resource in the field, we will support clinicians, researchers, AI experts, patients, and industry leaders with up-to-date advancements in the field while fostering an environment conducive to further innovation and collaboration. The genesis of the journal is fundamentally linked to my personal commitment to improving cancer care across the field by supporting AI-enabled health care systems that are accessible, efficient, and, most importantly, effective for everyone.Along with this, AI in Precision Oncology will serve as a catalyst between worlds. The fusion of both AI-enabled technologies and precision oncology is advancing at an unprecedented pace; however, a divide currently exists between these technological strides and their pragmatic integration into clinical settings. Clinicians, rightly so, require a trove of evidence-based research to acquaint themselves with AI tools and understand the methodologies to incorporate them into their practice. With this journal serving as a foremost resource, and the exceptional research-based content we will provide to the community, we aspire to bridge this divide.Furthermore, AI in Precision Oncology will serve as an educational compass for health care professionals who might be unacquainted with AI. The journal will provide review articles, commentaries, tutorials, tools, protocols, and thought-leader profiles to inform health care professionals and allow a better understanding of the available tools and how to implement them and integrate them into their own clinical practices. AI can afford health care providers the luxury of time by automating time-consuming tasks that do not necessitate a human touch, such as data analysis or administrative chores.Clinicians can then direct their time toward engaging more meaningfully with patients, improving patient satisfaction, and enhancing the quality of care by enabling more comprehensive and personalized consultations.Our goal is to bring together researchers, clinicians, and industry experts to share their knowledge and experience in this rapidly evolving field. We warmly welcome a variety of article formats including original research articles, reviews, and perspectives on applying AI in cancer research, diagnosis, and treatment. Some of our key areas of interest include (but are not limited to): AI algorithms for cancer detection, diagnosis, and prognosisAI-based biomarkers for cancer screening and diagnosisAI-assisted imaging analysis for tumor detection and segmentationAI-guided treatment planning and personalized therapyAI-enabled drug discovery and developmentMachine learning and deep learning in cancer researchNatural language processing for electronic health record analysisEthical and regulatory issues in AI in precision oncologyOur journal also accepts commentaries and correspondence on cur