About this Research Topic
This research topic is dedicated to advancing the applications of artificial intelligence and precision in CardioNeurology. AI in PrecisionCardioNeurology commits to offering every opportunity to researchers in the field by considering a variety of contributions from research and review papers to commentaries, short reports, mini-reviews, clinical case reports, technical case studies, network meta-analyses, randomized controlled trials, systematic reviews and meta-analysis, umbrella reviews and meta-epidemiologic studies.
Topics coverage includes:
• Ethical and regulatory issues in AI in CardioNeurology.
• Natural language processing for electronic health record analysis
• Machine learning and deep learning in CardioNeurology
• AI-enabled drug discovery and development
• AI algorithms for CardioNeurology for detection, treatment, diagnosis, and prognosis
• AI-based biomarkers for CardioNeurology screening and diagnosis
• AI-assisted imaging analysis for CardioNeurology detection and segmentation
• AI-guided treatment planning and personalized therapy
Topics coverage includes:
• Ethical and regulatory issues in AI in CardioNeurology.
• Natural language processing for electronic health record analysis
• Machine learning and deep learning in CardioNeurology
• AI-enabled drug discovery and development
• AI algorithms for CardioNeurology for detection, treatment, diagnosis, and prognosis
• AI-based biomarkers for CardioNeurology screening and diagnosis
• AI-assisted imaging analysis for CardioNeurology detection and segmentation
• AI-guided treatment planning and personalized therapy
Keywords: AI, Artificial Intelligence, Precision Cardiology, Precision Cardioneurology
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.
