Exploring the future of ischemic stroke diagnosis and underrecognized etiologies

Area of Science:

• Neurology
• Medical Technology
• Personalized Medicine

Background:

• Accurate diagnosis of cryptogenic stroke with underrecognized causes remains a significant clinical challenge.
• Traditional diagnostic methods often fall short in identifying the specific etiology of ischemic stroke.
• Timely and precise diagnosis is crucial for effective treatment, monitoring, and assessment of stroke progression.

Purpose of the Study:

• To review the limitations in diagnosing ischemic stroke with underrecognized etiologies.
• To discuss emerging technologies that could revolutionize stroke diagnosis through a personalized medicine approach.
• To explore the future of stroke management integrating novel diagnostic tools.

Main Methods:

• Literature review of English-language research articles from PubMed, EMBASE, Scopus, and Web of Science.
• Search terms included: embolic stroke of undetermined source, cryptogenic stroke, atrial cardiopathy, PFO closure, cancer-associated stroke, wearable devices, multiomics, stroke, and artificial intelligence.
• Synthesis of findings on current diagnostic challenges and future technological advancements.

Main Results:

• Current diagnostic workups for cryptogenic stroke have limitations in identifying underrecognized etiologies.
• Novel technologies including multiomics, wearable/implantable devices, and advanced imaging are poised to enhance diagnostic capabilities.
• Artificial intelligence integration is expected to significantly improve the speed and precision of stroke diagnosis.

Conclusions:

• Future stroke diagnosis will likely involve extended workups incorporating multiomics and advanced technologies.
• Artificial intelligence will transform stroke management, enabling rapid, precise, and individualized treatment strategies.
• Novel technologies may lead to real-time, patient-specific stroke management options, shifting diagnostic power towards patients.