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Publish a Book Chapter in "Engineering Approaches in Medical Science for Imaging, Sensors and AI (Volume - 1)"

Call for Book Chapters: Submissions Now Open

978-1-80433-863-6

Medical Science Edited Book | Edited Book on Medical Science


This edited book on medical science titled "Engineering Approaches in Medical Science for Imaging, Sensors and AI" mainly focuses on various topics such as medical imaging basics, image reconstruction, CT reconstruction etc., and the rest are given below in the Scope of the book. This medical science edited book will be published with ISBN numbers after following a proper double blind peer reviewed process. All the chapters of this medical science edited book will be published in a proper style, so that reader can easily understand and learn.

Author can download this medical science edited book titled "Engineering Approaches in Medical Science for Imaging, Sensors and AI" authorship responsibility and copyright form: Click Here

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Indexed in Crossref Indexed in Dimensions Indexed in Bowker
Invited Topics

  1. Privacy-Preserving Machine Learning for Sensitive Health Data
  2. Medical Imaging Informatics and Standards for Data Exchange
  3. Interoperability Using HL7, DICOM, and FHIR in Imaging Systems
  4. Cybersecurity Risks and Protections in Connected Medical Devices
  5. IoT Architectures for Remote Patient Monitoring and Imaging Integration
  6. Wearable Sensors for Continuous Health Monitoring: Design and Validation
  7. Biosensor Fundamentals: Transduction, Selectivity, and Sensitivity
  8. Electrochemical Biosensors for Clinical Diagnostics
  9. Optical Biosensors and Spectroscopy-Based Detection Techniques
  10. Lab-on-a-Chip Systems and Microfluidics for Point-of-Care Testing
  11. Point-of-Care Devices: Engineering Design and Clinical Validation
  12. Signal Processing for Biomedical Sensors: Filtering and Feature Extraction
  13. ECG Signal Processing for Arrhythmia Detection and Monitoring
  14. EEG Processing and Brain–Computer Interfaces in Clinical Settings
  15. PPG and Pulse Oximetry: Measurement Principles and Error Sources
  16. Motion Artifact Detection and Removal in Wearable Sensing
  17. Sensor Calibration, Drift, and Long-Term Reliability Testing
  18. Multisensor Fusion for Robust Physiological Monitoring
  19. Medical Device Design Controls and Safety Engineering Principles
  20. Regulatory Pathways for Imaging AI and Diagnostic Devices
  21. Human Factors Engineering and Usability in Clinical Technologies
  22. Clinical Decision Support Systems Integrating Imaging and Sensor Data
  23. Risk Scoring Models Using Multimodal Patient Data
  24. Digital Twins for Personalized Health Monitoring and Treatment Planning
  25. Augmented Reality for Surgical Navigation and Imaging Guidance
  26. Virtual Reality for Rehabilitation and Clinical Training
  27. Robotics in Imaging: Patient Positioning and Automated Acquisition
  28. Smart Hospital Systems and Real-Time Patient Flow Analytics
  29. Cloud Computing and Data Pipelines for Medical Imaging Platforms
  30. MLOps for Healthcare: Monitoring, Drift Detection, and Governance
  31. Clinical AI Governance Frameworks and Accountability
  32. Data Security, Consent, and Ethical Use of Clinical Data
  33. Evaluating Clinical Utility and Cost-Effectiveness of Medical AI
  34. Radiology Workflow Integration for AI-Assisted Reporting
  35. Pathology Workflow Integration for AI-Assisted Diagnosis
  36. Multimodal Learning Combining Imaging, Text, and Sensor Signals
  37. Natural Language Processing for Radiology and Pathology Reports
  38. Self-Supervised Learning for Medical Imaging with Limited Labels
  39. Weak Supervision and Noisy Labels in Clinical AI Development
  40. Domain Adaptation and Generalization Across Scanners and Sites
  41. Uncertainty Estimation and Confidence-Aware Clinical AI
  42. Calibration Techniques for Reliable Probability Outputs
  43. Detecting Out-of-Distribution Cases in Medical Imaging AI
  44. Active Learning for Efficient Medical Image Annotation
  45. Semi-Supervised Learning Approaches for Clinical Imaging
  46. Generative Models for Data Augmentation and Privacy Preservation
  47. Synthetic Medical Images: Benefits, Risks, and Validation
  48. Standardizing Imaging Protocols for AI Readiness
  49. Quality Assurance for Imaging Devices and Acquisition Protocols
  50. Low-Dose CT and Dose Optimization Through Engineering and AI
  51. Fast MRI and Compressed Sensing Reconstruction Methods
  52. Advanced Ultrasound Techniques and Quantitative Imaging
  53. Functional Imaging and Quantitative Parameter Estimation
  54. Time-Series Sensor Analytics for Early Deterioration Detection
  55. AI for Sepsis Prediction Using Sensor and EHR Signals
  56. Continuous Glucose Monitoring: Sensors and Predictive Analytics
  57. Wearable Cardiac Monitoring and Arrhythmia Detection Systems
  58. Remote Monitoring for Chronic Disease: System Design and Outcomes
  59. Edge-to-Cloud Architectures for Healthcare IoT
  60. Interoperability Challenges in Multi-Vendor Smart Hospitals
  61. Clinical Validation Studies for Sensors and Imaging Algorithms
  62. Designing Multicenter Studies for Medical AI Evaluation
  63. Benchmark Datasets and Challenges in Medical Imaging AI
  64. Reproducibility and Reporting Standards for Clinical AI Research
  65. Explainability Methods: Saliency, Concept Models, and Counterfactuals
  66. Bias Audits and Fairness Testing in Clinical AI Pipelines
  67. Post-Deployment Surveillance and Safety Monitoring of Medical AI
  68. Handling Data Drift and Model Updating in Clinical Settings
  69. Liability, Regulation, and Legal Aspects of AI-Assisted Diagnosis
  70. Patient Privacy, Federated Analytics, and Secure Computation
  71. Clinical Acceptance and Trust in AI-Enabled Medical Technologies
  72. Designing User Interfaces for AI-Assisted Clinical Decision Making
  73. Integrating Imaging AI with EHR Systems and Clinical Pathways
  74. Digital Biomarkers from Imaging and Wearables
  75. Sensor-Based Phenotyping and Personalized Care Models
  76. Predictive Maintenance of Medical Devices Using Sensor Data
  77. Future Trends in Medical Imaging, Sensors, and AI
  78. Translating Engineering Innovation into Clinical Impact
  79. Interdisciplinary Collaboration Models for Biomedical Engineering Teams
  80. Roadmap for Responsible AI and Sensor-Driven Medical Care
Book Scope

  • Medical Imaging Basics
  • Image Reconstruction
  • CT Reconstruction
  • MRI Signal Processing
  • Ultrasound Imaging
  • PET and SPECT Imaging
  • Image Segmentation
  • Image Registration
  • Image Enhancement
  • Radiomics Features
  • Digital Pathology AI
  • Computer-Aided Diagnosis
  • Deep Learning in Imaging
  • Explainable AI
  • Bias and Fairness
  • Model Validation
  • Clinical AI Deployment
  • Edge AI Devices
  • IoT Health Sensors
  • Wearable Sensors
  • Biosensor Design
  • Electrochemical Sensors
  • Optical Biosensors
  • Lab-on-Chip Systems
  • Microfluidics
  • Point-of-Care Devices
  • Remote Patient Monitoring
  • Signal Filtering
  • ECG Processing
  • EEG Processing
  • PPG and SpO2 Sensors
  • Motion Artifact Removal
  • Sensor Calibration
  • Sensor Fusion
  • Data Acquisition
  • Medical Device Safety
  • Regulatory Pathways
  • Cybersecurity in Devices
  • Interoperability Standards
  • HL7 and FHIR Basics
  • Medical Data Annotation
  • Dataset Curation
  • Federated Learning
  • Privacy-Preserving AI
  • Clinical Decision Support
  • Risk Scoring Models
  • Digital Twins
  • AR and VR in Medicine
  • Robotics in Imaging
  • Smart Hospital Systems


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Deadline

31 Jan 2026