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Machine Learning–Based Cognitive Assessment With The Autonomous Cognitive Examination: Randomized Controlled Trial

Machine Learning–Based Cognitive Assessment With The Autonomous Cognitive Examination: Randomized Controlled Trial

The ACE-3 is composed of 19 questions spanning the domains of language, executive function, memory, and visuospatial function [40]. Language is separated into “language” and “fluency” on the ACE-3 for relevance to Parkinson disease. The ACE-3 total score ranges from 0‐100, with 100 representing a maximum function. The Mo CA is another ubiquitous test which briefly evaluates language, executive function, memory, and visuospatial function with 13 questions [42].

Calvin Howard, Amy Johnson, Sheena Baratono, Katharina Faust, Joseph Peedicail, Marcus Ng

J Med Internet Res 2025;27:e67446

Virtual Reality Gamification of Visual Search, Response Inhibition, and Visual Short-Term Memory Tasks for Cognitive Assessment: Experimental Study

Virtual Reality Gamification of Visual Search, Response Inhibition, and Visual Short-Term Memory Tasks for Cognitive Assessment: Experimental Study

Cognitive tasks are commonly used in Psychology and Neuroscience to investigate various mental processes, such as attention, memory, and perception [1,2]. These tasks often involve simple stimuli, such as alphanumeric characters and shapes and a large number of trials, a deliberate design choice aimed at controlling for extraneous variables and ensuring the reliability of the results [3,4].

Marios Hadjiaros, Andria Shimi, Kleanthis Neokleous, Constantinos Pattichis, Marios Avraamides

JMIR Form Res 2025;9:e65836

Identifying Unmet Needs of Informal Dementia Caregivers in Clinical Practice: User-Centered Development of a Digital Assessment Tool

Identifying Unmet Needs of Informal Dementia Caregivers in Clinical Practice: User-Centered Development of a Digital Assessment Tool

Our objectives were to (1) create a user-friendly and family dementia caregiver specific digitally supported assessment tool, (2) develop an assessment process that is understandable and comprehensive yet time-efficient, and (3) create an assessment tool that can be used at multiple locations such as general practitioners’ (GPs) offices and memory clinic waiting rooms.

Olga A Biernetzky, Jochen René Thyrian, Melanie Boekholt, Matthias Berndt, Wolfgang Hoffmann, Stefan J Teipel, Ingo Kilimann

JMIR Aging 2025;8:e59942

Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

The study cohort was defined as patients who met the following criteria: (1) received a dementia diagnosis, (2) had at least one outpatient visit per year, (3) had at least one visit before the dementia diagnosis, and (4) had documented memory loss–related symptoms (eg, memory loss, confusion, cognition impairment, trouble remembering, not recalling, forgetting, and blackout) in the EHR.

Hunki Paek, Richard H Fortinsky, Kyeryoung Lee, Liang-Chin Huang, Yazeed S Maghaydah, George A Kuchel, Xiaoyan Wang

JMIR Aging 2025;8:e65221

Association of Subjective Cognitive Concerns With Performance on Mobile App–Based Cognitive Assessment in Cognitively Normal Older Adults: Observational Study

Association of Subjective Cognitive Concerns With Performance on Mobile App–Based Cognitive Assessment in Cognitively Normal Older Adults: Observational Study

During each M2 C2 session, participants completed 3 previously characterized cognitive measures assessing visual working memory (Color Shapes), processing speed (Symbol Match), and episodic memory (Prices). Each task took approximately 60 seconds to complete. Mobile Monitoring of Cognitive Change (M2 C2) app subtests. The Color Shapes visual working memory task is a visual array change detection test measuring intraitem feature binding.

Caroline O Nester, Alyssa N De Vito, Sarah Prieto, Zachary J Kunicki, Jennifer Strenger, Karra D Harrington, Nelson Roque, Martin J Sliwinski, Laura A Rabin, Louisa I Thompson

JMIR Aging 2025;8:e64033

A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study

A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study

However, current smartphone-based cognitive assessments focus primarily on information processing speed (IPS) [13]; yet, besides slowed IPS, the hallmark cognitive problem in MS is impaired memory [14], for which the first smartphone test was only recently introduced by Podda et al [15]. Memory assessments emerged earlier on tablet devices [16] but are less suitable for consistent follow-up because tablet devices are used far less frequently than smartphones.

Stijn Denissen, Delphine Van Laethem, Johan Baijot, Lars Costers, Annabel Descamps, Ann Van Remoortel, Annick Van Merhaegen-Wieleman, Marie D’hooghe, Miguel D'Haeseleer, Dirk Smeets, Diana M Sima, Jeroen Van Schependom, Guy Nagels

J Med Internet Res 2025;27:e53503

Virtual Reality Interventions for Older Adults With Mild Cognitive Impairment: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Virtual Reality Interventions for Older Adults With Mild Cognitive Impairment: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Learning Test; Wechsler Memory Scale, Third Edition; Multifactorial Memory Questionnaire; Chinese Verbal Learning Test; 20-item version of the Everyday Memory Questionnaire (range: 20-180); and Seoul Verbal Learning Test Attention and information processing speed: Trajectory Making Test A and B, Symbol Digit Substitution Test, Attention Matrix Test, and Digit Span Test Executive function: Korean version of the Executive Function Performance Test, Symbol Digit Substitution Test, Trajectory Making Test B, Stroop

Qin Yang, Liuxin Zhang, Fangyuan Chang, Hongyi Yang, Bin Chen, Zhao Liu

J Med Internet Res 2025;27:e59195

Improving How Caregivers of People Living With Dementia Are Identified in the Electronic Health Record: Qualitative Study and Exploratory Chart Review

Improving How Caregivers of People Living With Dementia Are Identified in the Electronic Health Record: Qualitative Study and Exploratory Chart Review

Research staff screened the EHR to identify patients aged 65 years or older with dementia (based on International Classification of Diseases, Tenth Revision [ICD-10] codes or dementia medications; Multimedia Appendix 1) and polypharmacy (defined as taking 5+ medications), who received care at primary care or memory clinics. The dementia diagnosis was confirmed by reviewing clinic notes. Our approach was designed to be pragmatic to characterize the real-world caregiving arrangements of people with dementia.

Ariel R Green, Cynthia M Boyd, Rosalphie Quiles Rosado, Andrea E Daddato, Kathy S Gleason, Tobie E Taylor McPhail, Marcela D Blinka, Nancy L Schoenborn, Jennifer L Wolff, Elizabeth A Bayliss, Rebecca S Boxer

JMIR Aging 2024;7:e59584

Exploring How Older Adults Experience semAPP, a 360° Media–Based Tool for Memory Assessment: Qualitative Study

Exploring How Older Adults Experience semAPP, a 360° Media–Based Tool for Memory Assessment: Qualitative Study

Characteristics of 360° media could be attractive for memory testing, boosting the procedure’s precision. Memory plays a central role in various aspects of daily life, such as recalling important information, managing medications, and navigating familiar environments. For older adults, maintaining optimal memory function is essential to ensure their independence, safety, and quality of life.

Francesca Bruni, Valentina Mancuso, Jonathan Panigada, Marco Stramba-Badiale, Pietro Cipresso, Elisa Pedroli

JMIR Aging 2024;7:e56796