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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

Bridging Data Gaps in Emergency Care: The NIGHTINGALE Project and the Future of AI in Mass Casualty Management

Bridging Data Gaps in Emergency Care: The NIGHTINGALE Project and the Future of AI in Mass Casualty Management

Although AI-driven tools have already shown promise in improving diagnosis, triage, and decision-making in emergency department settings [4], in the context of prehospital emergency response, most research has remained at the proof-of-concept stage, highlighting the need for prospective validation to support real-world implementation [6].

The NIGHTINGALE Consortium, Marta Caviglia

J Med Internet Res 2025;27:e67318

Health and Experiences During the COVID-19 Pandemic Among Children and Young People: Analysis of Free-Text Responses From the Children and Young People With Long COVID Study

Health and Experiences During the COVID-19 Pandemic Among Children and Young People: Analysis of Free-Text Responses From the Children and Young People With Long COVID Study

The emergence and rapid spread of SARS-Co V-2 thoroughly disrupted day-to-day life globally, whether through the direct effects of infection or the implementation of preventive control measures [1]. Adolescence is a sensitive period when friendships and social interactions are important for mental health, brain development, and self-concept construction [2].

Natalia K Rojas, Sam Martin, Mario Cortina-Borja, Roz Shafran, Lana Fox-Smith, Terence Stephenson, Brian C F Ching, Anaïs d'Oelsnitz, Tom Norris, Yue Xu, Kelsey McOwat, Emma Dalrymple, Isobel Heyman, Tamsin Ford, Trudie Chalder, Ruth Simmons, CLoCk Consortium, Snehal M Pinto Pereira

J Med Internet Res 2025;27:e63634

An Ecological Momentary Assessment Approach of Environmental Triggers in the Role of Daily Affect, Rumination, and Movement Patterns in Early Alcohol Use Among Healthy Adolescents: Exploratory Study

An Ecological Momentary Assessment Approach of Environmental Triggers in the Role of Daily Affect, Rumination, and Movement Patterns in Early Alcohol Use Among Healthy Adolescents: Exploratory Study

The implementation of the EMA was done by movisens XS (movisens Gmb H) [47], which allows the integration of relevant items and additional information like geospatial measures. Within the EMA assessment, participants were asked to carry along a study phone (Nokia 5 with Android version 7.1.1 Nougat) over 14 days [48]. This period was selected due to the relatively low frequency of drinking behavior observed in a healthy sample of adolescents, aiming to increase the variance in drinking occasions.

Maren Prignitz, Stella Guldner, Stephan Johann Lehmler, Pascal-M Aggensteiner, Frauke Nees, IMAC-Mind Consortium

JMIR Mhealth Uhealth 2024;12:e53401

Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

Participants with a confirmed diagnostic history of depression were recruited through the RADAR-CNS (Remote Assessment of Disease And Relapse - Central Nervous System) study [31], those with epilepsy and MS self-identified as having a diagnosis of one of these conditions and were recruited through nonprofit organizations (Epilepsy Action and MS Society) and were invited to join condition-specific focus groups.

Sara Simblett, Erin Dawe-Lane, Gina Gilpin, Daniel Morris, Katie White, Sinan Erturk, Julie Devonshire, Simon Lees, Spyridon Zormpas, Ashley Polhemus, Gergely Temesi, Nicholas Cummins, Matthew Hotopf, Til Wykes, RADAR-CNS Consortium

J Med Internet Res 2024;26:e43954

Assessing the Role of the Autonomic Nervous System as a Driver of Sleep Quality in Patients With Multiple Sclerosis: Observation Study

Assessing the Role of the Autonomic Nervous System as a Driver of Sleep Quality in Patients With Multiple Sclerosis: Observation Study

The relation of the ANS to sleep quality is not well studied for diseases that are explicitly known to affect the ANS, such as multiple sclerosis (MS) [3], Parkinson disease [4,5], or Alzheimer disease [6,7]. For patients with MS, sleep quality is one of the main drivers for quality of life [8-11] besides disability, depressive mood, and fatigue. Sleep quality is often reduced in patients with MS due to cramps, pain, reduced mobility, spasticity, mucus retention, and restless leg syndrome [12].

Max Moebus, Marc Hilty, Pietro Oldrati, Liliana Barrios, PHRT Author Consortium, Christian Holz

JMIR Neurotech 2024;3:e48148

Emerging Indications for Hyperbaric Oxygen Treatment: Registry Cohort Study

Emerging Indications for Hyperbaric Oxygen Treatment: Registry Cohort Study

Briefly, the registry is composed of hyperbaric centers that agree to follow the registry consortium agreement when becoming a member. Every site obtained institutional review board (IRB) approval and gathered informed consent in agreement with their IRB approval. Sites either obtain IRB approval from their own IRB or establish a reliance agreement with the IRB Dartmouth College (STUDY00024438).

Hideaki L Tanaka, Judy R Rees, Ziyin Zhang, Judy A Ptak, Pamela M Hannigan, Elaine M Silverman, Janet L Peacock, Jay C Buckey, Multicenter Registry for Hyperbaric Oxygen Treatment Consortium

Interact J Med Res 2024;13:e53821

Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study

Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study

We incorporated the laboratory measurements related to anthropometry, nutrition, COVID-19 positivity, inflammation, tissue damage due to viral infection, autoantibodies and immunity, cardiovascular health, and microvascular disease, which are potential predictors of PASC [18]. We also extracted information about smoking status, alcohol use, marital status, and use of insulin or anticoagulant from the observation table as baseline characteristics of individuals.

Zachary Butzin-Dozier, Yunwen Ji, Haodong Li, Jeremy Coyle, Junming Shi, Rachael V Phillips, Andrew N Mertens, Romain Pirracchio, Mark J van der Laan, Rena C Patel, John M Colford, Alan E Hubbard, The National COVID Cohort Collaborative (N3C) Consortium

JMIR Public Health Surveill 2024;10:e53322