Integrating Generative Artificial Intelligence in ADRD: A Roadmap for Streamlining Diagnosis and Care in Neurodegenerative Diseases

• URL: http://arxiv.org/abs/2502.06842v3
• Date: Fri, 01 Aug 2025 19:21:40 GMT
• Title: Integrating Generative Artificial Intelligence in ADRD: A Roadmap for Streamlining Diagnosis and Care in Neurodegenerative Diseases
• Authors: Andrew G. Breithaupt, Michael Weiner, Alice Tang, Katherine L. Possin, Marina Sirota, James Lah, Allan I. Levey, Pascal Van Hentenryck, Reza Zandehshahvar, Marilu Luisa Gorno-Tempini, Joseph Giorgio, Jingshen Wang, Andreas M. Rauschecker, Howard J. Rosen, Rachel L. Nosheny, Bruce L. Miller, Pedro Pinheiro-Chagas,
• Abstract summary: Healthcare systems are struggling to meet the growing demand for neurological care, particularly in Alzheimer's disease and related dementias.<n>We propose that LLM-based generative AI systems can enhance clinician capabilities to approach specialist-level assessment and decision-making in ADRD care at scale.
• Score: 8.903189530397318
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Healthcare systems are struggling to meet the growing demand for neurological care, particularly in Alzheimer's disease and related dementias (ADRD). We propose that LLM-based generative AI systems can enhance clinician capabilities to approach specialist-level assessment and decision-making in ADRD care at scale. This article presents a comprehensive six-phase roadmap for responsible design and integration of such systems into ADRD care: (1) high-quality standardized data collection across modalities; (2) decision support; (3) clinical integration enhancing workflows; (4) rigorous validation and monitoring protocols; (5) continuous learning through clinical feedback; and (6) robust ethics and risk management frameworks. This human centered approach optimizes clinicians' capabilities in comprehensive data collection, interpretation of complex clinical information, and timely application of relevant medical knowledge while prioritizing patient safety, healthcare equity, and transparency. Though focused on ADRD, these principles offer broad applicability across medical specialties facing similar systemic challenges.

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