JMIR Cancer

Patient-centered innovations, education, and technology for cancer care, cancer survivorship, and cancer research.

Editor-in-Chief:

Naomi Cahill, PhD, RD, Editor-in-Chief; Scientific Editor at JMIR Publications, Canada


Impact Factor 3.3 CiteScore 4.1

JMIR Cancer (JC, ISSN: 2369-1999) is a peer-reviewed journal focusing on education, innovation and technology in cancer care, cancer survivorship and cancer research, and participatory and patient-centred approaches. This journal also includes research on non-Internet approaches to improve cancer care and cancer research.

We invite submissions of original research, viewpoints, reviews, tutorials, case studies, and non-conventional articles (e.g. open patient education material and software resources that are not yet evaluated but are free for others to use/implement). 

In our "Patients' Corner," we invite patients and survivors to submit short essays and viewpoints on all aspects of cancer. In particular, we are interested in suggestions on improving the health care system and suggestions for new technologies, applications and approaches (this section has no article processing fees).

In 2024, JMIR Cancer received a Journal Impact Factor™ of 3.3 (Source: Journal Citation Reports™ from Clarivate, 2024). JMIR Cancer is indexed in PubMed Central and PubMedScopusDOAJ, MEDLINE, and the Emerging Sources Citation Index (Clarivate). With a CiteScore of 4.1, JMIR Cancer is a Q2 journal in the field of Oncology, according to Scopus data.

Recent Articles

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Doctor-Patient Communication on Cancer, Prevention, and Screening

Background: Patients with cancer need coordinated care for both treatment and concurrent health conditions. This requires collaboration among specialists when using telemedicine services, emphasizing the importance of care continuity.

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Nutrition, Physical Activity, Healthy Lifestyle for Cancer Patients and Survivors

The APPROACH pilot study explored the feasibility and acceptability of an app (NHS Active 10) with brief, habit-based, behavioral support calls and print materials intended to increase brisk walking in people diagnosed with cancer.

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Reviews on Innovations in Cancer

Limited access to nutrition support among populations with cancer is a major barrier to sustainable and quality cancer care. Increasing use of mobile health in health care has raised concerns about its validity and health impacts.

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Innovations and Technology in Cancer Care

Computer-aided detection and diagnosis (CAD) systems can enhance the objectivity of visual inspection with acetic acid (VIA), which is widely used in low- and middle-income countries (LMICs) for cervical cancer detection. VIA’s reliance on subjective health care provider (HCP) interpretation introduces variability in diagnostic accuracy. CAD tools can address some limitations; nonetheless, understanding the contextual factors affecting CAD integration is essential for effective adoption and sustained use, particularly in resource-constrained settings.

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Cancer Survivorship

Patients with melanoma receiving immunotherapy with immune-checkpoint inhibitors (ICIs) often experience immune-related adverse events (AEs), cancer-related fatigue and emotional distress, affecting health-related quality of life (HRQoL) and clinical outcome to immunotherapy. EHealth tools can aid cancer patients in addressing issues such as AEs and psychosocial well-being from various perspectives.

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Cancer Epidemiology, Cancer Surveillance and Infodemiology

Esophageal and gastric cancer were among the top 10 most common cancers worldwide. And sex-specific differences were observed in the incidence. Due to their anatomic proximity, the two cancers have both different but also shared risk factors and epidemiological features. Exploring the potential correlated incidence pattern of them, holds significant importance in providing clues in the etiology and preventive strategies.

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Innovations in Cancer Diagnostic and Decision Support

Skin cancers, including melanoma and keratinocyte cancers, are among the most common cancers worldwide, and their incidence is rising in most populations. Earlier detection of skin cancer leads to better outcomes for patients. Artificial intelligence (AI) technologies have been applied to skin cancer diagnosis, but many technologies lack clinical evidence and/or the appropriate regulatory approvals. There are few qualitative studies examining the views of relevant stakeholders or evidence about the implementation and positioning of AI technologies in the skin cancer diagnostic pathway.

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Breast Cancer

Early-stage breast cancer has the complex challenge of carrying a favorable prognosis with multiple treatment options, including breast conserving surgery (BCS) or mastectomy. Social media is increasingly used as a source of information and as a decision tool for patients, and awareness of these conversations is important for patient counseling.

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Cancer Survivorship

The rising number of cancer survivors and the shortage of healthcare professionals challenge the accessibility of cancer care. Health technologies are necessary for sustaining optimal patient journeys. To understand individuals' daily life during their patient journey, qualitative studies are crucial. However, not all patients wish to share their story with researchers

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Cancer Prognosis Models and Machine Learning

In medicine, the application of natural language processing (NLP) to tasks, such as information extraction and classification, has increased significantly. NLP plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging. However, most publicly available medical datasets are in English, with limited availability in other languages. This scarcity of datasets poses a challenge for developing models geared towards non-English downstream tasks.

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Preprints Open for Peer-Review

There are no preprints available for open peer-review at this time. Please check back later.

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