AI-MEDTECH 2026 - Scientific Topics &
Clinical Research Areas- Track-Sessions
Track-Session 1: AI in Cardiology & ECG Signal Processing & Wearable Devices
AI, Machine Learning, Deep Learning & Reinforcement Learning for Cardiac Data
AI-Driven ECG Signal Processing for PQRST Detection and Arrhythmia Classification
Deep Learning, Reinforcement Learning, Hybrid CNN-LSTM model
Wearable Cardiac Monitoring Systems Using AI for Continuous and Remote Patient Care
Smart patches, IoMT ECG devices, real-time analytics
GenAI, Explainable AI (XAI), Predictive AI for Cardiology
Trustworthy AI Models for Clinical Detection-Diagnosis-Decision Support
Federated Learning for Multi-Center Cardiac Data
Data Analysis and Privacy-Preserving ECG Modeling
Track-Session 2: AI in Oncology & Biomedical Image Processing
GenAI & AI Radiomics for Cancer Detection
AI Radiomics and GenAI for Early Cancer Detection and Tumor Characterization
CT, MRI, PET, Histopathology
Deep Learning and Multimodal AI for Cancer Diagnosis, Staging, and Prognosis
Deep Data Learning, AI Multimodal Data Processing and Analysis, RNN
Generative AI for Synthetic Medical Imaging Data Augmentation in Oncology
GenAI, Synthetic Image Processing, Data Augmentation
AI in Brain and Lung Cancer Medical Imaging
Advanced medical imaging analysis for faster diagnoses and improved outcomes
Track-Session 3: AI in Medicine & Pharmacy
Predictive AI for Drug Discovery and Precision Therapy
AI-Driven Drug Discovery and Drug Repurposing Using Predictive and Generative Models
GenAI, X-AI, and Predictive AI in Drug Medicine
Precision Medicine and Personalized Therapy Using AI and Multi-Omics Data
High Precision Medicine based on AI Multi-modal Data Processing and Analytics
AI for Clinical Trials Optimization, Pharmacovigilance, and Real-World Evidence Analysis
Clinical Trials based on AI-models
AI-Driven Biomarker Discovery for Precision Therapy
Multi-omics biomarker identification (genomics, proteomics, metabolomics).
Predictive biomarkers for drug response and resistance
Track-Session 4: AI in Interventional Radiology & Medical Imaging
Explainable AI for Clinical Guidance
Explainable AI for Interventional Radiology and Image-Guided Clinical Procedures
X-AI Models and Algorithms, Techniques
AI-Assisted Medical Imaging Workflows for Radiology Decision Support
MRI, CT, Ultrasound Imaging, Synthetic and Hybrid Imaging
Real-Time AI Systems for Intraoperative Imaging and Clinical Navigation
AI Systems for Intraoperative Imaging and Clinical Navigation
AI-Driven Digital Twins for Interventional Radiology Planning and Personalized Image-Guided Therapy
AI-powered patient-specific digital twins integrating MRI, CT, ultrasound, and intraoperative imaging
Track-Session 5: AI in Digital Health
AI APIs, Federated Data & IoMT Security Systems
AI-Powered Digital Health Platforms Using Federated Learning and Secure Data Architectures
Federated Data Learning
AI APIs for Interoperable Healthcare Systems (FHIR, HL7, EHR/EMR Integration)
AI APIs and Data Interoperability
Cybersecurity, Privacy, and Trustworthy AI for IoMT and Connected Medical Devices
AI Systems for Intraoperative Imaging and Clinical Navigation
AI Virtual Health Assistants & AI Multi-Agent Systems & LLMs in Medicine-Healthcare
Personalized virtual care assistants for enhanced patient experiences. AI Multi-Agent Systems based on AI and Machine Learning in Data Processing. Large Language Models LLMs.
Track-Session 6: AI in Medical-Clinical Interventions, Surgeries & Diagnostics
Translational AI in Cardiology, Oncology & Radiology
Translational AI from Research to Clinical Practice in Cardiology, Oncology, and Radiology
Translational AI in Clinical Applications
AI-Assisted Surgical Planning, Robotics, and Intelligent Interventional Systems
AI in Surgical and Clinical Systems
AI in Vital Signs Monitoring and Health Diagnostics
AI - Machine Learning in Vital Signs
Clinical Validation, Regulatory Compliance, and Safety of AI Medical Technologies
Validation and Compliance.