Initial specialist validation of clinical decision support recommendations from a machine learning-enabled digital cognitive assessment
By
Ali Jannati
Claudio Toro-Serey
Marissa Ciesla
Emma Chen
David Bates
John Showalter
Sean Tobyne
Alvaro Pascual-Leone
June 17, 2026
Clinical Scorecard: Preliminary Expert Assessment of Clinical Decision Support Suggestions from a Machine Learning-Driven Digital Cognitive Evaluation
At a Glance
Category Detail
Condition Cognitive Impairment and Alzheimer's Disease Key Mechanisms Digital Cognitive Assessment and Clinical Decision Support Target Population Patients aged ≥55 with suspected cognitive impairment Care Setting Primary Care
Key Highlights
All cognitive-impairment recommendations met appropriateness threshold. Moderate agreement among experts on CDS recommendations. Digital Cognitive Assessments can facilitate timely detection of MCI and dementia. Guideline-Based Recommendations
Diagnosis
Use of the Linus Health Core Cognitive Evaluation for cognitive impairment assessment. Management
Referral pathways for patients with borderline or impaired DCR scores. Monitoring & Follow-up
Regular assessment of cognitive function in older adults. Risks
Potential for misdiagnosis in cognitively unimpaired individuals. Patient & Prescribing Data
Older adults with suspected cognitive impairment.
Emerging therapies like lecanemab and donanemab target amyloid pathology.
Clinical Best Practices
Implement routine cognitive screening in primary care settings. Utilize digital tools to streamline cognitive assessments. Related Resources & Content
