ReviewOncology2025
Integrating Artificial Intelligence-Driven Wearable Technology in Oncology Decision-Making: A Narrative Review.
Review in Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Chronotherapy in Hematological Malignancies: Evaluating the Rationale and Evidence.Pharmacology research & perspectives · 2026Review
- Artificial Intelligence for Personalized Management of Acute Myeloid Leukemia.Journal of personalized medicine · 2026Review
- Oral cancer in the era of precision medicine: molecular targets and technological innovations.Scientific reports · 2026Article
- A systematic review of microgravity on reproductive systems: Implications for space biology and human health.iScience · 2026Review
- Molecular Bases of Myopathies and Their Impact on Clinical Practice: Advances and Future Perspectives.International journal of molecular sciences · 2026Review
- Electricity-Based Locoregional Cancer Therapies and Their Associated Drug Delivery Technologies: From Principles of Action to Clinical Implications.Biomaterials research · 2026Review
- Movement Behaviors and the Role of Self-Reported Symptoms and Well-Being: A Dynamic Structural Equation Modeling Approach Among Head and Neck Cancer Patients.Psycho-oncology · 2025Article
- Wearable Technologies in Head and Neck Oncology: Scoping Review.JMIR mHealth and uHealth · 2025Article
- CRISPR and Artificial Intelligence in Neuroregeneration: Closed-Loop Strategies for Precision Medicine, Spinal Cord Repair, and Adaptive Neuro-Oncology.International journal of molecular sciences · 2025Review
- Revolutionizing breast cancer immunotherapy by integrating AI and nanotechnology approaches: review of current applications and future directions.Bioelectronic medicine · 2025Review
- Harnessing artificial intelligence to address immune response heterogeneity in low-dose radiation therapy.World journal of radiology · 2025Article
- Understanding frailty and the role of patient-centered care for older adults with gynecologic cancer.Gynecologic oncology · 2025Review
- Personalized exercise programs in oncology.Oncology reviews · 2025Review
- Mapping the global landscape of wearable devices in healthcare: A dual-database bibliometric analysis (2016-2026).Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinical decision-making in oncology is a complex process influenced by numerous disease-related factors, patient demographics, and logistical considerations. With the advent of artificial intelligence (AI), precision medicine is undergoing a shift toward more precise and personalized care. Wearable device technology complements this paradigm shift by offering continuous monitoring of patient vitals, facilitating early intervention, and improving treatment adherence. The integration of these technologies promises to enhance the quality of oncological care, making it more responsive and tailored to individual patient needs, thereby enabling wider implementation of such applications in the clinical setting. SUMMARY: This review article addresses the integration of wearable devices and AI in oncology, exploring their role in patient monitoring, treatment optimization, and research advancement along with an overview of completed clinical trials and utility in different aspects. The vast applications have been exemplified using several studies, and all the clinical trials completed till date have been summarized in Table 2. Additionally, we discuss challenges in implementation, regulatory considerations, and future perspectives for leveraging these technologies to enhance cancer care and radically changing the global health sector. KEY MESSAGES: AI is transforming cancer care by enhancing diagnostic, prognostic, and treatment planning tools, thus making precision medicine more effective. Wearable technology facilitates continuous, noninvasive monitoring, improving patient engagement and adherence to treatment protocols. The combined use of AI and wearables aids in monitoring patient activity, assessing frailty, predicting chemotherapy tolerance, detecting biomarkers, and managing treatment adherence. Despite these advancements, challenges such as data security, privacy, and the need for standardized devices persist. In the foreseeable future, wearable technology can hold significant potential to revolutionize personalized oncology care, empowering clinicians to deliver comprehensive and tailored treatments alongside standard therapy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.