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A Deep Learning–Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records

A Deep Learning–Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records

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.

Gowtham Varma, Rohit Kumar Yenukoti, Praveen Kumar M, Bandlamudi Sai Ashrit, K Purushotham, C Subash, Sunil Kumar Ravi, Verghese Kurien, Avinash Aman, Mithun Manoharan, Shashank Jaiswal, Akash Anand, Rakesh Barve, Viswanathan Thiagarajan, Patrick Lenehan, Scott A Soefje, Venky Soundararajan

JMIR Cancer 2025;11:e64697

Analyzing Usage of the Metaverse by Associations of Patients With Prostate Cancer During the 2023 Blue Ribbon Campaign: Cross-Sectional Survey Study

Analyzing Usage of the Metaverse by Associations of Patients With Prostate Cancer During the 2023 Blue Ribbon Campaign: Cross-Sectional Survey Study

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.

Jung Ki Jo, Yeeun Kim, Yun-Sok Ha, Kwang Taek Kim, Sangjun Yoo, Woo Suk Choi, Jihye Yang, Jaeeun Shin, Sun Il Kim, Jeong Hyun Kim

J Med Internet Res 2025;27:e63030

Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy–Related Cardiovascular Toxicity: Systematic Review

Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy–Related Cardiovascular Toxicity: Systematic Review

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.

Hayat Mushcab, Mohammed Al Ramis, Abdulrahman AlRujaib, Rawan Eskandarani, Tamara Sunbul, Anwar AlOtaibi, Mohammed Obaidan, Reman Al Harbi, Duaa Aljabri

JMIR Cancer 2025;11:e63964

Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study

Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study

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.

Xiongwen Yang, Yi Xiao, Di Liu, Huiyou Shi, Huiyin Deng, Jian Huang, Yun Zhang, Dan Liu, Maoli Liang, Xing Jin, Yongpan Sun, Jing Yao, XiaoJiang Zhou, Wankai Guo, Yang He, Weijuan Tang, Chuan Xu

J Med Internet Res 2025;27:e63786

Ethical Design of Data-Driven Decision Support Tools for Improving Cancer Care: Embedded Ethics Review of the 4D PICTURE Project

Ethical Design of Data-Driven Decision Support Tools for Improving Cancer Care: Embedded Ethics Review of the 4D PICTURE Project

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).

Marieke Bak, Laura Hartman, Charlotte Graafland, Ida J Korfage, Alena Buyx, Maartje Schermer, 4D PICTURE Consortium

JMIR Cancer 2025;11:e65566

Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review

Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review

Our scoping review of 24 studies highlights significant research interest in designing, evaluating, and deploying LLMs for data extraction from clinical text in oncology. The most commonly used LLMs for data extraction from clinical text in oncology include BERT and Chat-GPT, two of the most well-known LLMs in NLP research.

David Chen, Saif Addeen Alnassar, Kate Elizabeth Avison, Ryan S Huang, Srinivas Raman

JMIR Cancer 2025;11:e65984

The Effect of Nurse Navigators in Digital Remote Monitoring in Cancer Care: Case Study Using Structural Equation Modeling

The Effect of Nurse Navigators in Digital Remote Monitoring in Cancer Care: Case Study Using Structural Equation Modeling

Despite the postulated importance of NNs in DRM, more research is needed to explore the extent to which they contribute to the effectiveness of these systems, especially in oncology. This study aims to fill this gap by examining the impact of NNs in the Cancérologie parcours région Ile-de-France (CAPRI) DRM program, considering factors such as toxicity management and care use. CAPRI is an application of DRM in oncology.

Etienne Minvielle, Joel Perez-Torrents, Israa Salma, Philippe Aegerter, Marie Ferrua, Charles Ferté, Henri Leleu, Delphine Mathivon, Claude Sicotte, Mario Di Palma, Florian Scotté

J Med Internet Res 2025;27:e66275

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

The American Society of Clinical Oncology and the Oncology Nursing Society jointly released evidence-based guidelines and OAA management standards. These emphasize patient education at OAA initiation and ongoing monitoring throughout treatment to enable early identification of side effects and toxicities, thus preventing complications [27,28]. Consequently, there is a need for more timely and more accessible patient support for individuals taking OAAs [28].

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

JMIR Res Protoc 2025;14:e55475