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

Abstract

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 current issues in the field. Our editorial team consists of experts in the field of AI in oncology who have a broad range of expertise and experience in academia, industry, and clinical practice. We will ensure that all submissions undergo rigorous peer review by experts in the field to ensure the highest standards of scientific rigor and transparency.At the heart of my vision for this journal is the unwavering belief that AI can help make care more human, as eloquently encapsulated by Eric Topol's quote, “rebuilding the doctor–patient relationship.”In essence, AI in Precision Oncology is more than just a scientific or medical journal; it is a mission-driven initiative to harness the power of AI in improving oncology care. In the process, we aim to shape an AI-enabled health care system that is equitable, efficient, and patient centered—making health care more human.The Road to AIMy perspective as editor-in-chief is enriched by personal experience and wearing multiple hats: I am a practicing oncologist, a senior health care executive, and, most importantly, a cancer survivor. These roles have each provided unique insights into the complexities and challenges faced in oncology care from different angles.As an oncologist, I want simplified documentation, more effective medications, and support in making critical clinical decisions. As an administrator, my focus shifts toward safeguarding patients and staff while striving to provide seamless coordinated care—no easy feat given resource constraints. And, as a cancer patient, it is essential to have access to improved screening methods, more effective treatments, and clinicians who have the time and ability to engage with me and my family, especially when I am lying on that examination table. My unique perspective drives home the reality that AI tools will allow optimization of every aspect of cancer care, none more urgently than what the patients personally require and deserve.Launching an impactful journal is no small task, and I would like to thank a few people who have helped get us to this starting point and will make enormous contributions going forward. We have assembled the core of genuinely talented editorial advisory board members from academia, medical centers, and industry, with deep expertise in AI, oncology, and many related fields. This journal would not exist without the support of this expert team, and I want to thank each of the contributing editorial board members for their dedication and support. If you are interested in joining this group because you believe you have something to contribute to the launch of AI in Precision Oncology, I would love to hear from you.Partnering with us on this venture is the Mary Ann Liebert, Inc., publishing team, headquartered in New Rochelle, New York. More than 40 years ago, Mary Ann Liebert launched the company's first peer-reviewed journal, Journal of Interferon & Cytokine Research. The company now offers an impressive span of more than 100 peer-reviewed journals, bridging a fascinating wealth of fields from innovative biotechnology research (GEN Biotechnology, The CRISPR Journal) to clinical science (Diabetes Technology and Therapeutics, LGBT Health, Journal of Palliative Medicine, Journal of Women's Health) to a growing cluster of journals in the IT and technology space (3D Printing and Additive Manufacturing, Big Data, Soft Robotics).The team has jumped on this endeavor with alacrity and skill and will provide my editorial team with full support in editorial management, production, marketing, and more.In conclusion, I welcome you on this exciting journey toward shaping the future of health care. Help us validate and showcase your scholarship and opinions by submitting an article to the journal. Contact us if you would like to discuss a potential submission in advance. And if you would like to support our mission by sponsoring the journal and our outreach programs—such as our inaugural virtual summit in December 2023—please contact me!FiguresReferencesRelatedDetails Volume 0Issue 0 InformationCopyright 2023, Mary Ann Liebert, Inc., publishersTo cite this article:Douglas B. Flora.Introducing AI in Precision Oncology.AI in Precision Oncology.ahead of printhttp://doi.org/10.1089/aipo.2023.28999.editorialOnline Ahead of Print:October 17, 2023PDF download

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