AI Beneath: Innovations Driving Breakthroughs in Cardiology, Oncology, Hypertension, and Acute Care Medicine
DOI:
https://doi.org/10.65336/WJAMS.2025.21103Keywords:
Artificial intelligence, biomedical engineering, cardiology, oncology, hypertension, acute care medicine, predictive analyticsAbstract
Artificial intelligence (AI) has emerged as a foundational technology underpinning many of the most transformative innovations in biomedical engineering, driving breakthroughs across cardiology, oncology, hypertension, and acute care medicine. This paper explores the role of AI in enhancing early detection, predictive analytics, continuous monitoring, and personalized therapeutic interventions. In cardiology, AI-enabled electrocardiography, predictive arrhythmia algorithms, and telemetry-integrated wearable devices improve diagnostic accuracy and enable proactive management of cardiac events. Oncology benefits from AI-powered molecular imaging, radiomics, and treatment-planning tools, which facilitate earlier tumor detection and optimize targeted therapies, thereby reducing off-target effects and improving patient outcomes. In hypertension, AI-driven continuous blood-pressure monitoring systems and risk stratification models provide real-time insights that enhance adherence, detect hypertensive crises early, and support individualized treatment strategies. Acute care medicine leverages AI for automated triage, predictive deterioration models, sepsis alert systems, and real-time vital-sign monitoring, enabling faster interventions and reducing mortality in high-acuity settings. Despite these advances, challenges remain in clinical integration, including data quality variability, algorithm transparency, regulatory hurdles, interoperability, and equitable access. This study employs a mixed-method approach, combining systematic literature review, technology evaluation, workflow mapping, and expert interviews to assess the current impact, limitations, and future potential of AI in these critical medical domains. Findings indicate that AI functions as a “beneath-the-surface” driver of innovation, enhancing precision, efficiency, and patient-centered care. Its continued development and integration are poised to transform healthcare delivery, improve outcomes, and pave the way for the next generation of biomedical engineering solutions.
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