JMIR cancer

01 19 October 2026

DOI 10.2196/92899

Psychosocial Distress and Radiation Treatment Interruptions in Patients With Cancer Using Machine Learning and Regression: Retrospective Cohort Study

Open DOI

Soheil Hashtarkhani, Christopher L Brett, Fekede Asefa Kumsa et al.

Background: Uninterrupted delivery of radiation therapy is critical to cancer treatment quality. Unplanned radiation treatment interruptions compromise tumor control and survival. Although previous studies have explored clinical and soci...

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02 16 October 2026

DOI 10.2196/99573

Metastasis Extraction From Non–Small Cell Lung Cancer Clinical Notes Using Large Language Model–Based Classification: Retrospective Comparative Study

Open DOI

Sweta Balaji, Kiersten Campbell, Rou-Zhen Chen et al.

Background: Identification of metastasis status in non–small cell lung cancer (NSCLC) is a critical part of understanding disease prognosis, treatment courses, trial eligibility, and population-level cancer surveillance. However, metasta...

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03 13 October 2026

DOI 10.2196/103960

Detection of Cervical Nodal Metastasis in Oral Squamous Cell Carcinoma Using Elastic Scattering Spectroscopy: Ex Vivo Diagnostic Modeling Study

Open DOI

Waseem Jerjes, Zaid Hamdoon, Dara Rashed et al.

Background: Cervical nodal metastasis remains one of the strongest determinants of treatment planning and prognosis in oral squamous cell carcinoma. Histopathology remains the reference standard, but it does not provide immediate informa...

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04 13 October 2026

DOI 10.2196/84151

Symptom Management Following Radioactive Iodine Treatment in Adults With Thyroid Cancer: Usability Evaluation and Proof-of-Concept Study

Open DOI

Alaina Carr, Angela M Jenkins, Valeria Gómez et al.

Background: Thyroid cancer is often labeled a “good cancer” due to high survival rates. However, many patients diagnosed with differentiated thyroid cancer (DTC) treated with radioactive iodine (RAI) experience short- and long-term sympt...

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05 7 October 2026

DOI 10.2196/101162

Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer Using Routinely Collected Clinical Data: Multicenter Retrospective Machine Learning Model Development and External Validation Study

Open DOI

Gehui Xu, Xiaohe Sun, Jiaxin Jiang et al.

Background: Preoperative nodal assessment in colorectal cancer (CRC) remains imperfect, and uncertainty regarding pathological lymph node metastasis (LNM) may persist despite conventional imaging. Machine learning using routinely availab...

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06 5 October 2026

DOI 10.2196/88568

The Impacts of Social Marketing Campaigns on Breast Cancer Awareness and Screening: Scoping Review

Open DOI

Sahar Abduljawad

Background: Promotional activities, such as social marketing approaches, are important for raising cancer awareness and increasing breast cancer screening participation. Such interventions are designed to facilitate change and maintain p...

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07 5 October 2026

DOI 10.2196/93688

Experiences of Informal Caregivers Facing Cancer While Caring for Someone With Dementia: Qualitative Interview Study

Open DOI

Elizabeth Travis, Mollie Louise Price, Millie Slessor et al.

Background: Informal caregivers play a fundamental role in the diagnosis, treatment, and care received by their family members. Caring for someone with dementia is particularly burdensome and can have negative effects on caregivers’ heal...

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08 29 September 2026

DOI 10.2196/76471

Assessing the Accuracy, Completeness, and Reference Quality of GPT-4 and Google for Gynecologic Cancer Information: Comparative Quantitative Study

Open DOI

Alexandra H Smick, Martins Ayoola, Rajeshree Rajpara et al.

Background: Patients with newly diagnosed gynecologic cancers often seek information online, but the quality of available resources may be inconsistent. Although GPT-4 may offer an alternative to traditional internet search engines, its ...

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09 16 September 2026

DOI 10.2196/94676

Beta Testing an mHealth Symptom Management Intervention for People With Advanced Cancer: Single-Cohort Feasibility and Acceptability Study

Open DOI

Sharla Wells-Di Gregorio, Tanya Smit, Sarah Baltimore et al.

Background: People living with advanced cancer experience more frequent and severe symptoms than those with early-stage disease. Common, distressing symptoms include sleep difficulties, worry and uncertainty, fatigue, and depression. Cog...

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10 15 September 2026

DOI 10.2196/103545

AI Agents for Multimodal Oncology Diagnosis: Toward Transparent and Traceable Clinical Decision Support

Open DOI

Liuyang Yang, Liyu Shan, Xiangmei Yao et al.

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 ...

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