e.g. mhealth
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Multidisciplinary Oncology Education Among Postgraduate Trainees: Systematic Review
The objective of this study was to perform a systematic review of the literature to evaluate the multidisciplinary oncology education in postgraduate medical training (ie, interns, residents, and fellows). This study provides a review of literature analyzing the education of learners about the role of any collaborating physician specialty involved in oncology care, including but not limited to, medical oncology, radiation oncology, surgical oncology, and palliative care.
JMIR Med Educ 2025;11:e63655
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We included the following characteristics for patients diagnosed with early-stage breast cancer: age; Eastern Cooperative Oncology Group performance status; BMI; comorbidities such as diabetes, heart failure, coronary artery disease, chronic obstructive pulmonary disease, and cognitive impairments; history of hospitalizations; and polypharmacy. We also gathered biological indicators at the time of diagnosis, which included hemoglobin levels, lymphocyte counts, and creatinine clearance.
JMIR Cancer 2025;11:e64000
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The research team initially identified and sent invitation emails to 60 oncologists who were members of the Chinese Anti-Cancer Association, a leading oncology academic society in China. While oncologists were located across different regions, there were no restrictions based on years of experience or subspecialization. The email requested their participation in the study and asked them to provide real-world, asynchronous, text-based medical records.
J Med Internet Res 2025;27:e67462
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Hormone receptor status, human epidermal growth factor receptor-2 (HER-2) status, and Eastern Cooperative Oncology Group scores were captured from clinical notes using the clinical NLP engine. A rule-based approach was used to identify the initiation date of first-line therapy in m BC by analyzing drug orders and administration records. To ensure reliability, only orders appearing for the first time after metastasis diagnosis were included.
JMIR Cancer 2025;11:e64697
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A questionnaire was used to assess satisfaction with participation in the metaverse, and data were collected from September 15 to October 20, 2023, during the Blue Ribbon Campaign hosted by the Korean Urological Association and the Korean Urological Oncology Society. The study aimed to collect information about users’ awareness of their metaverse experience without imposing any restrictions on research participation.
J Med Internet Res 2025;27:e63030
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This is where cardio-oncology, a rapidly developing field, comes into play. It focuses on the crucial relationship between cancer treatment and heart health, focusing on controlling and preventing cardiovascular toxicity [5].
Cardiovascular toxicity, commonly known as cardiotoxicity, defined by the 2022 European Society of Cardiology Cardio-Oncology guidelines, is the term used to describe the harm inflicted upon the heart muscle or cardiovascular system due to different cancer treatments.
JMIR Cancer 2025;11:e63964
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Effective physician-patient communication is essential in clinical practice, particularly in oncology, where radiology reports play a crucial role. These reports, often filled with technical jargon, can be challenging for patients to understand, impacting their engagement and decision-making.
Large language models (LLMs), such as GPT-4, offer a novel approach to simplifying these reports, potentially enhancing communication and improving patient outcomes.
J Med Internet Res 2025;27:e63786
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In this context, their oncology departments together with the 6 university hospitals` DIC have established a federated observational research network, building on the groundwork laid by the MII. Analyzing data from multiple hospitals enhances statistical validity by increasing the sample size, which enables rare event analysis in more diverse patient populations.
J Med Internet Res 2025;27:e65681
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Recognizing the complexity that patients face, the consortium seeks to use design methods (particularly the Metro Mapping methodology, Figure 1) to improve care paths in oncology. This involves the development of innovative prognostic models and conversation tools that consider patient experiences, values, and preferences through models partly based on artificial intelligence (AI).
JMIR Cancer 2025;11:e65566
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Breast Cancer Vlogs on YouTube: Descriptive and Content Analyses
oncology
JMIR Infodemiology 2025;5:e66812
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