JMIR Cancer

Cancer diagnosis depends on data from radiology, digital pathology, molecular profiling, laboratory testing, and longitudinal clinical records. AI performs well in selected tasks, but most systems remain narrow and disconnected from the iterative reasoning required in oncology. This Viewpoint defines an AI agent as a feedback-driven system that maintains task state, selects among governed tools, observes results, and revises its plan under explicit safety constraints. This definition separates agents from multimodal foundation models, retrieval-augmented generation, and fixed workflow automation. We organize the discussion across multimodal data collection, preprocessing, fusion and representation learning, and diagnostic decision support. We distinguished agent-level evidence, component- or infrastructure-level evidence, and prospective propositions throughout. Clinical translation will require resilient failure handling, guideline version control, prospective evaluation, computational and workflow feasibility, and clinician authority over final decisions. The near-term opportunity is therefore transparent and traceable clinical decision support rather than autonomous cancer diagnosis.

No preview text available.

No preview text available.

Cardiovascular disease and cancer are leading causes of morbidity and mortality worldwide, with cancer survivors facing elevated cardiovascular risk due to shared risk factors and cardiotoxic treatments. Physical activity (PA) is a well-established strategy to improve cardiovascular health and survivorship outcomes; however, most cancer survivors do not meet recommended PA guidelines. Understanding multilevel influences on PA engagement and promotion is essential to improving implementation in cardio-oncology care.

Mobile health (mHealth) interventions may improve provider-parent communication on human papillomavirus (HPV) vaccination to reduce concerns, and increase intention and uptake. HPVVaxFacts (233 Analytics) is a novel, mobile web app delivering tailored education based on the Health Belief Model and Theory of Reasoned Action, addressing parental concerns preclinic visit.

Pediatric cancer presents many challenges for young patients and families that extend beyond active treatment. Families report significant unmet information and supportive care needs at the end of treatment (EOT). Digital health solutions, such as patient apps, offer a potential solution to address current gaps in care.

Breast cancer and its treatment can negatively affect women’s quality of life (QoL), including physical, psychological, and social well-being. Digital health interventions have been increasingly used to provide supportive care, but their effectiveness on QoL and related psychosocial outcomes remains unclear.

Telehealth use expanded rapidly during the COVID-19 pandemic and has since become integrated into routine oncology care. However, clinician experiences and confidence with telehealth may vary across oncology subspecialties, and these differences remain incompletely characterized.

Social media is a common source of cancer information for patients, caregivers, and survivors. Factors influencing engagement with oncology nutrition content on social media are not well-defined, despite the high prevalence of social media use for health information. The impact of bilingual content strategies on that engagement is also poorly understood.

Digital health solutions that incorporate electronic patient-reported outcomes (ePROs) hold promise for enhancing communication and patient engagement in pediatric oncology and palliative care. While ePROs are increasingly used in adult populations, their use in children, especially when combined with gamification, remains underexplored.

Mobile health (mHealth) apps offer new opportunities to support cancer survivors in managing their health, adopting healthier lifestyles, and increasing awareness of recurrence symptoms. However, despite their potential, little is known about survivors’ use of such tools in routine follow-up care, or which factors are associated with their engagement.

Accelerating the transition to value-based health care (VBHC) is essential to ensure sustainable care delivery. VBHC maximizes patient value by optimizing outcomes, controlling costs, and leveraging data to improve quality and patient-doctor communication. Integrating real-world data in health care is important to achieve informed decisions, especially in palliative care, where choices are complex.