The Role of Artificial Intelligence in Improving Patient Outcomes and Future of Healthcare Delivery in Cardiology: A Narrative Review of the Literature

Gala, Dhir; Behl, Haditya; Shah, Mili; Makaryus, Amgad N.

doi:10.3390/healthcare12040481

Cited by 13 publications

(4 citation statements)

References 95 publications

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“…Concrete examples underscore the practical application of AI in procedural contexts, showcasing its role in better understanding the patient's clinical conditions and tailoring therapies ( 21 ). For instance, AI could play a crucial role in defining target pathologies, employing sophisticated algorithms to analyze medical data and identify specific cardiovascular issues with high accuracy ( 22 ).…”

Section: Precision Cardiovascular Interventions Through Artificial In...mentioning

confidence: 99%

Evolutionary trends and innovations in cardiovascular intervention

Vento,

Kuntz,

Lejay

et al. 2024

Front. Med. Technol.

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Cardiovascular diseases remain a global health challenge, prompting continuous innovation in medical technology, particularly in Cardiovascular MedTech. This article provides a comprehensive exploration of the transformative landscape of Cardiovascular MedTech in the 21st century, focusing on interventions. The escalating prevalence of cardiovascular diseases and the demand for personalized care drive the evolving landscape, with technologies like wearables and AI reshaping patient-centric healthcare. Wearable devices offer real-time monitoring, enhancing procedural precision and patient outcomes. AI facilitates risk assessment and personalized treatment strategies, revolutionizing intervention precision. Minimally invasive procedures, aided by robotics and novel materials, minimize patient impact and improve outcomes. 3D printing enables patient-specific implants, while regenerative medicine promises cardiac regeneration. Augmented reality headsets empower surgeons during procedures, enhancing precision and awareness. Novel materials and radiation reduction techniques further optimize interventions, prioritizing patient safety. Data security measures ensure patient privacy in the era of connected healthcare. Modern technologies enhance traditional surgeries, refining outcomes. The integration of these innovations promises to shape a healthier future for cardiovascular procedures, emphasizing collaboration and research to maximize their transformative potential.

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Section: Precision Cardiovascular Interventions Through Artificial In...mentioning

confidence: 99%

Evolutionary trends and innovations in cardiovascular intervention

Vento,

Kuntz,

Lejay

et al. 2024

Front. Med. Technol.

View full text Add to dashboard Cite

show abstract

“…AI shows great promise in rapidly analyzing vast amounts of imaging data, identifying subtle patterns, aiding in early detection, precise tumor characterization, and predicting treatment response [94][95][96]. Moreover, AI can integrate imaging data with clinical information, enabling personalized treatment strategies and ultimately enhancing patient outcomes [97,98]. Thus, AI holds significant potential in advancing oncology imaging, potentially enabling personalized chemotherapy and radiotherapy.…”

Section: Ai For Image Analysis In Extravasation Detectionmentioning

confidence: 99%

Exploring Extravasation in Cancer Patients

Pham,

Tsunoyama

2024

Preprint

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Extravasation, the unintended leakage of intravenously administered substances, poses significant challenges in cancer treatment, particularly during chemotherapy and radiotherapy. This comprehensive review explores the pathophysiology, incidence, risk factors, clinical presentation, diagnosis, prevention strategies, management approaches, complications, and long-term effects of extravasation in cancer patients. It also outlines future directions and research opportunities, including identifying gaps in current knowledge and proposing areas for further investigation in extravasation prevention and management. Emerging technologies and therapies with the potential to improve extravasation prevention and management in both chemotherapy and radiotherapy are highlighted. Such innovations include advanced vein visualization technologies, smart catheters, targeted drug delivery systems, novel topical treatments, and artificial intelligence-based image analysis. By addressing these aspects, this review not only provides healthcare professionals with insights to enhance patient safety and optimize clinical practice but also underscores the importance of ongoing research and innovation in improving outcomes for cancer patients experiencing extravasation events.

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“…Ensuring that AI outputs align with established medical standards and guidelines is necessary for patient safety and trust. 85 …”

Section: Critical Considerations Challenges and Future Directionsmentioning

confidence: 99%

Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular Imaging

Marey,

Saad,

Killeen

et al. 2023

BJR|Open

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Cardiovascular disease (CVD) is a major cause of mortality worldwide, especially in resource-limited countries with limited access to healthcare resources. Early detection and accurate imaging are vital for managing CVD, emphasizing the significance of patient education. Generative AI, including algorithms to synthesize text, speech, images, and combinations thereof given a specific scenario or prompt, offer promising solutions for enhancing patient education. By combining vision and language models, generative AI enables personalized multimedia content generation through natural language interactions, benefiting patient education in cardiovascular imaging. Simulations, chat-based interactions, and voice-based interfaces can enhance accessibility, especially in resource-limited settings. Despite its potential benefits, implementing generative AI in resource-limited countries faces challenges like data quality, infrastructure limitations, and ethical considerations. Addressing these issues is crucial for successful adoption. Ethical challenges related to data privacy and accuracy must also be overcome to ensure better patient understanding, treatment adherence, and improved healthcare outcomes. Continued research, innovation, and collaboration in generative AI have the potential to revolutionize patient education. This can empower patients to make informed decisions about their cardiovascular health, ultimately improving healthcare outcomes in resource-limited settings.

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The Role of Artificial Intelligence in Improving Patient Outcomes and Future of Healthcare Delivery in Cardiology: A Narrative Review of the Literature

Cited by 13 publications

References 95 publications

Evolutionary trends and innovations in cardiovascular intervention

Evolutionary trends and innovations in cardiovascular intervention

Exploring Extravasation in Cancer Patients

Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular Imaging

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