About this Research Topic
Artificial intelligence (AI) in healthcare has been groundbreaking, significantly enhancing diagnostic accuracies and optimizing treatment through real-time patient monitoring. Traditional medical approaches often don’t account for individual physiological and genetic variations, leading to suboptimal treatments and late-stage disease detection. However, by leveraging smart sensing technologies, AI can now process various of biological signals—from basic vitals like heart rate and blood pressure to intricate biochemical markers—via wearable and non-invasive devices. This revolution allows for extensive, continuous patient health monitoring and generates a wealth of real-time data, perfect for AI's predictive capabilities and developing pre-emptive disease detection strategies.
AI-driven smart sensing systems further analyze large volumes of patient data to personalize healthcare interventions, resulting in more effective, customized treatments that enhance patient outcomes. Additionally, advancements in machine learning algorithms and data processing techniques have significantly improved healthcare providers’ ability to interpret complex, multimodal datasets, integrating information from medical imaging, electronic health records, and sensor data for a more comprehensive understanding of patient health.
This research topic explores the cutting-edge developments in AI-powered smart sensing methods and their processing techniques tailored for individualized care. It will cover a wide range of themes, including AI-based diagnostic tools, smart wearable devices, remote patient monitoring systems, real-time health analytics, and personalized therapeutic interventions These advancements aim to foster preventative care tailored to individual health profiles and needs, bridging the gap between data-rich healthcare environments and personalized patient care, ultimately improving outcomes and reducing the healthcare system's burden.
To refine understanding within this dynamic field, we aim to curate a collection of interdisciplinary studies epitomizing the innovations at the intersection of AI, smart sensors, and personalized healthcare. We invite submissions on the following topics, including but not limited to:
• AI-Driven Wearable Devices for Continuous Health Monitoring
• Machine Learning Algorithms for Personalized Diagnostic Tools
• Real-Time Data Processing in Remote Patient Monitoring Systems
• Non-Invasive Sensing Technologies for Chronic Disease Management
• AI-Powered Therapeutic Interventions Based on Individual Health Data
• Edge Computing for Scalable, Real-Time Health Data Processing
• Privacy and Ethical Challenges in AI-Driven Healthcare Systems
AI-driven smart sensing systems further analyze large volumes of patient data to personalize healthcare interventions, resulting in more effective, customized treatments that enhance patient outcomes. Additionally, advancements in machine learning algorithms and data processing techniques have significantly improved healthcare providers’ ability to interpret complex, multimodal datasets, integrating information from medical imaging, electronic health records, and sensor data for a more comprehensive understanding of patient health.
This research topic explores the cutting-edge developments in AI-powered smart sensing methods and their processing techniques tailored for individualized care. It will cover a wide range of themes, including AI-based diagnostic tools, smart wearable devices, remote patient monitoring systems, real-time health analytics, and personalized therapeutic interventions These advancements aim to foster preventative care tailored to individual health profiles and needs, bridging the gap between data-rich healthcare environments and personalized patient care, ultimately improving outcomes and reducing the healthcare system's burden.
To refine understanding within this dynamic field, we aim to curate a collection of interdisciplinary studies epitomizing the innovations at the intersection of AI, smart sensors, and personalized healthcare. We invite submissions on the following topics, including but not limited to:
• AI-Driven Wearable Devices for Continuous Health Monitoring
• Machine Learning Algorithms for Personalized Diagnostic Tools
• Real-Time Data Processing in Remote Patient Monitoring Systems
• Non-Invasive Sensing Technologies for Chronic Disease Management
• AI-Powered Therapeutic Interventions Based on Individual Health Data
• Edge Computing for Scalable, Real-Time Health Data Processing
• Privacy and Ethical Challenges in AI-Driven Healthcare Systems
Keywords: Smart Sensing, AI for Science, Smart Healthcare, Medical Big Data, Medical Internet of Things
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
