Search Articles

View query in Help articles search

Search Results (1 to 10 of 618 Results)

Download search results: CSV END BibTex RIS


Primary Tumors of the Brain and Central Nervous System in Adults and Children in Sub-Saharan Africa: Protocol for a Scoping Review

Primary Tumors of the Brain and Central Nervous System in Adults and Children in Sub-Saharan Africa: Protocol for a Scoping Review

A significant proportion of new cancer cases worldwide are estimated to occur in low- and middle-income countries (LMICs), but the true prevalence is underestimated due to limited diagnostic capacities [1,2]. Sub-Saharan Africa (SSA) faces challenges in providing the necessary oncology and neurology services for the management of central nervous system (CNS) tumors.

Alhasan Ahmed Badeea Al-Fikri, Mesk Alhammadi, Chiedozie Arum, Mahima Kaur, Kayla Del Biondo, Ibrahim Bani, Victor Mudenda, Sten H Vermund

JMIR Res Protoc 2025;14:e66978

The Efficacy of Digital Interventions on Adherence to Oral Systemic Anticancer Therapy Among Patients With Cancer: Systematic Review and Meta-Analysis

The Efficacy of Digital Interventions on Adherence to Oral Systemic Anticancer Therapy Among Patients With Cancer: Systematic Review and Meta-Analysis

Patients with cancer aged 18 years and older. Patients diagnosed with cancer. Patients with cancer taking oral SACTsa. Patients with cancer including pediatrics, children, adolescents, neonates, or infants. Studies that include mixed age groups of participants with cancer. Patients with cancer taking nonoral SACTsa. Patients with cancer exclusively receiving injectable SACTsa.

Wan-Chuen Liao, Fiona Angus, Jane Conley, Li-Chia Chen

JMIR Cancer 2025;11:e64208

Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation Study

Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation Study

Variables including patient demographics, cancer-related information, medication use, laboratory tests, coexisting drugs, and comorbidities were collected from the CRD. Patient demographics including age, gender, and cancer-related information were collected once at the baseline.

Fan-Ying Chan, Yi-En Ku, Wen-Nung Lie, Hsiang-Yin Chen

JMIR Form Res 2025;9:e67767

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

By 2040, it is projected that there will be 28.4 million new cases of cancer worldwide, indicating a 47% increase compared with the 19.3 million cases reported in 2020 [1]. Consequently, enhancing the quality of life (QOL) for patients with cancer has become imperative owing to the rising number of patients with cancer and their extended life expectancy.

Yae Won Tak, Junetae Kim, Haekwon Chung, Sae Byul Lee, In Ja Park, Sei Won Lee, Min-Woo Jo, Jong Won Lee, Seunghee Baek, Yura Lee

J Med Internet Res 2025;27:e52694

Development of a Comprehensive Decision Support Tool for Chemotherapy-Cycle Prescribing: Initial Usability Study

Development of a Comprehensive Decision Support Tool for Chemotherapy-Cycle Prescribing: Initial Usability Study

In oncology, electronic patient-reported outcome (e PRO)–based monitoring has gained a great deal of interest in recent years. e PROs have been shown to improve quality of life (Qo L) and survival and reduce the number of unscheduled visits among patients receiving chemotherapy for advanced cancer [4-6].

Sanna Iivanainen, Reetta Arokoski, Santeri Mentu, Laura Lang, Jussi Ekström, Henri Virtanen, Vesa Kataja, Jussi Pekka Koivunen

JMIR Form Res 2025;9:e62749

Breast Cancer Vlogs on YouTube: Descriptive and Content Analyses

Breast Cancer Vlogs on YouTube: Descriptive and Content Analyses

Overall, social support is a prominent theme in literature about breast cancer communication on social media [2]. You Tube is growing as a source of “peer-to-peer health information sharing and support” [3]. The importance of peer support across cancer is widely acknowledged [4]. Breast cancer peer support programs have been shown to be effective in enhancing patients’ quality of life [5], particularly regarding the alleviation of depression and anxiety [6].

Nina Morena, Elly Dimya Htite, Yitzchok Ahisar, Victoria Hayman, Carrie A Rentschler, Ari N Meguerditchian

JMIR Infodemiology 2025;5:e66812

Feasibility, Acceptability, and Potential Effects of a Digital Oral Anticancer Agent Intervention: Protocol for a Pilot Randomized Controlled Trial

Feasibility, Acceptability, and Potential Effects of a Digital Oral Anticancer Agent Intervention: Protocol for a Pilot Randomized Controlled Trial

It is estimated that 18.1 million new cancer diagnoses occur globally every year [1,2]. Whereas survival rates vary among cancer diagnoses and countries, mortality rates for the most prevalent cancers in high-income countries continue to decrease [2,3]. Individuals with cancer are living longer and with higher quality of life due to improvements in prevention, detection, and advancements in treatment [4].

Saima Ahmed, Christine Maheu, Walter Gotlieb, Gerald Batist, Carmen G Loiselle

JMIR Res Protoc 2025;14:e55475

Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability

Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability

Cancer is one of the main causes of death in Europe and worldwide, after cardiovascular diseases. According to the World Health Organization (WHO), cancer is the second leading cause of death and morbidity in Europe, with more than 3.7 million new cases and 1.9 million deaths each year [1].

Amelie Gyrard, Somayeh Abedian, Philip Gribbon, George Manias, Rick van Nuland, Kurt Zatloukal, Irina Emilia Nicolae, Gabriel Danciu, Septimiu Nechifor, Luis Marti-Bonmati, Pedro Mallol, Stefano Dalmiani, Serge Autexier, Mario Jendrossek, Ioannis Avramidis, Eva Garcia Alvarez, Petr Holub, Ignacio Blanquer, Anna Boden, Rada Hussein

J Med Internet Res 2025;27:e66273

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

Given that patients are increasingly presenting internet-derived diagnostics during cancer consultations, it is imperative to understand the capabilities of commonly used AI engines, such as Chat GPT [4]. In this study, we compare the capabilities of two models—Chat GPT-4 Omni (GPT-4o) and Chat GPT-4 Turbo (GPT-4 Turbo)—in identifying melanoma versus “not melanoma” skin lesions. These LLMs were chosen due to their accessibility and ability to answer image-based dermatology board-style questions correctly [5].

Samantha S. Sattler, Nitin Chetla, Matthew Chen, Tamer Rajai Hage, Joseph Chang, William Young Guo, Jeremy Hugh

JMIR Dermatol 2025;8:e67551