2026, Vol. 7, Special Issue 1

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that affects millions of people around the world and is associated with early diagnosis, long-term management. With the advances of artificial intelligence (AI) and telehealth, healthcare delivery has been transformed into innovative ways to diagnose and remotely monitor AD patients. In this study, we qualitatively analyze the current literature, expert interviews, and case studies to explore the integration of AI driven technologies and telehealth platforms to AD diagnosis and remote patient care.

What the findings show is that AI diagnostic tools, such as machine learning (ML) algorithms, natural language processing (NLP), and deep learning models, have made early AD detection much more accurate. It also aids in risk stratification that improves the efficiency of the clinical decision making and mitigates the risk of diagnostic errors.

Additionally, telehealth applications including wearable sensors, mHealth apps, and Remote Patient Monitoring (RPM) systems allow continuous monitoring of cognitive and behavioral changes. Digital health interventions augment the engagement of patients, facilitate real time symptom tracking and help caregivers through timely alerts and personalized care plans. Besides chatbots and virtual assistants with AI, patient communication and cognitive training is further enhanced, improving overall quality of life.

Such advances are however limited by challenges in data privacy, algorithmic bias, interoperability and patient acceptance. In addition, ethical considerations of informed consent and ensuring equitable access to AI driven telehealth solutions needs to be addressed. To make sure AI and telehealth are safe and effective within AD care, regulatory frameworks and multidisciplinary cooperation are essential.

The findings of this qualitative analysis highlight the transformative power of AI and telehealth in changing the way AD is diagnosed remotely. Healthcare providers can provide proactive, personalized, and scalable AD management solutions through leveraging AI powered analytics and telehealth infrastructure, thereby enhancing patient’s outcomes and relieving the burden on the healthcare systems. These technologies need further research to optimize, address ethical concerns, and recommend standardized protocols that can be used widely in the clinical setting.