Artificial Intelligence in Biomedical and Modern Healthcare Informatics

1. Impact of Artificial Intelligence on Public Health: A Prospective Study on Medical Social Work Practice<br>2. Upshots of Healthcare with AI<br>3. Artificial Intelligence and Machine Learning Assisted Robotic Surgery: Current Trends and Future Scope<br>4. A Deep Perspective of Blockchain Applications in Healthcare Sector and Industry 4.0<br>5. Analyzing the role of Machine Learning Techniques in Healthcare Systems<br>6. Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) in Biomedical Fields: A Prospect in Improvising Medical Healthcare Systems<br>7. Artificial Intelligence in respiratory diseases with special insight through bioinformatics<br>8. Electroencephalography (EEG) and Epilepsy<br>9. A Review on Brain Computer Interface and its Applications<br>10. Recent Trends in Metabolomics and Artificial Intelligence<br>11. A comprehensive review on state of art imagined speech decoding techniques using Electroencephalography<br>12. Parkinson's Disease Diagnosis, Treatment, and Future Scope: An Epilogue<br>13. Recent Advances in Removal of Artefacts from EEG Signal Records<br>14. Computer Aided Diagnosis in Health Care: Case Study on Lung Cancer Diagnosis<br>15. AI and its role in predictive preclinical models for drug efficacy testing<br>16. Machine Learning-based Solutions for Brain Tumor Detection: Comparative Study and Limitations<br>17. Indoor and Home-Based Post-Stroke Rehabilitation Techniques- A Systemic Review<br>18. A comprehensive study on implementable antennas for medical applications<br>19. Deep Learning for Bone Age Assessment: Current Status and Future Prospects<br>20. Emerging Applications of Artificial Intelligence in Analyzing EEG Signals for the Healthcare Sector<br>21. Epilepsy Detection System using CWT and Deep-CNN<br>22. Isolated Indian Sign Language Recognition with Multihead Attention Transformer based network and Mediapipe&rsquo;s landmarks<br>23. Diagnosis of Parkinson&rsquo;s Disease based on Biological and Imaging-derived features using Machine learning and Deep learning<br>24. Brain Tumor and Feature Detection from MRI and CT scan using Artificial Intelligence<br>25. Neuromodulation via Brain Stimulation: A Promising Therapeutic Perspective for Alzheimer&rsquo;s Disease<br>26. A Biosensor for the Detection of Viruses using One-Dimensional Photonic Crystals<br>27. Artificial Intelligence Based Seizure Detection Systems in Electroencephalography: Transforming Healthcare for Accurate Diagnosis and Treatment<br>28. Artificial Intelligence and Image Enhancement based methodologies used for detection of tumor in MRIs of human brain<br>29. Machine learning based workload Identification using Functional Near-Infrared Spectroscopy (fNIRS) Data<br>30. Forecasting the COVID-19 pandemic through the hybridization of Machine Intelligent Algorithms<br>31. Suppression of Noise Signals from Computed Tomography and Ultrasound Medical Images and Performance Evaluation<br>32. Prediction Of Non-Alcoholic Fat Liver Disease Using Machine Learning<br>33. Evaluation of Diabetes Classification with Machine Learning Framework<br>34. Various Segmentation Methods/ Techniques for Medical Images and The Role of IoT<br>35. Augmented Mass Detection of Breast Cancer in Mammogram Images Using Deep Intelligent Neural Network Model<br>36. CNC Machines in Production of Medical Devices<br>37. Analysis and prediction of Cardiomyopathy using Artificial Intelligence<br>38. A Preemptive Approach to Polycystic Ovary Syndrome Diagnosis using Machine Learning<br>39. Mapping the Landscape of Human Activity Recognition Techniques in Health Monitoring for Chronic Disease Management<br>40. Analysis and Organization of Mycological Skin Contaminations by Means of Medicinal Imagery<br>41. A Sensitive Biosensor for the Detection of Blood Components Using 2D Photonic Crystals<br>42. Machine Learning Assisted EEG Signal Classification for Automated Diagnosis of Mental Stress<br>43. CNN based Deep Learning model for Skin Cancer detection using Dermatoscopic Images<br>44. Bioelectrical Impedance Analysis Body Composition Estimation of Fat Mass Percentage in People with Spinal Cord Injury<br>45. Advanced EEG Signal Processing and Feature Extraction Concepts<br>46. Fractal Analysis on Biomedical Signal<br>47. Detection of Metastasis Osteosarcoma Using Deep Fuzzy Gradient Recurrent Convolutional Neural Network<br>48. Deep Learning Based Fatigue Detection Using Functional Connectivity<br>49. Brain Tumor Diagnosis Using Image Classifier<br>50. ISL Recognition System in Realtime using TensorFlow API<br>51. Exploring the Exciting Potential and Challenges of Brain-Computer Interfaces (BCI) <br>52. Transmission Dynamics of COVID-19 Virus Disease<br>53. Design of High Voltage Biphasic Pulse Generation Circuit with 3-Level Isolation Suitable for AED Applications<br>54. A Novel Scheme of Brain Tumor Detection from MRIs using K-Means Segmentation and Histogram Analysis<br>55. Analyzing Post COVID-19 Effects on Self-Consciousness and Awareness towards Health: A Neuroscience Framework<br>56. Crowdsourcing and Artificial Intelligence based Modeling Framework for effective Public Healthcare Informatics and Smart eHealth System