Towards Autonomous Robots for Healthcare
Discover groundbreaking advances in autonomous medical robotics, focusing on steerable needle technology for precise lung cancer interventions and the future of robot-assisted healthcare procedures.
Advances in Model Guided Surgery and Intervention
Explore the future of surgical technology through computational models, automation, and real-time data integration for enhanced procedural medicine and treatment delivery systems.
Advances in Intraoperative Imaging and Guidance for Neurosurgery
Discover cutting-edge developments in AI-driven intraoperative imaging, deformable registration, and robotic assistance for neuroendoscopic procedures, focusing on enhanced precision and improved surgical outcomes.
Medical Insight+ - AI Medical Device for Rapid and Accurate Diagnosis of Emergency and Severe Brain Diseases
Discover how Medical Insight+ AI medical device revolutionizes emergency brain disease diagnosis through rapid CT image analysis, supporting healthcare professionals across Korean hospitals for accurate patient care.
X-RAY 영상 AI 모델을 이용한 자동 진단
Discover how AI models can revolutionize medical diagnosis through X-ray image analysis in this innovative presentation from student researchers at the SK TECH SUMMIT 2023.
Biophotonic Approaches for Detection and Management of Neurodegenerative Diseases and Metastatic Cancers
Discover how biophotonic approaches revolutionize the detection and management of neurodegenerative diseases and metastatic cancers through optical biopsy techniques.
Advancing Personalized Medicine and Radiotherapy through AI-Enabled Computer Vision
Explore AI and computer vision's impact on medical imaging for personalized medicine and radiotherapy, covering research, tools, and real-world applications.
Cancer Image Segmentation for Head and Neck Radiation Therapy Planning
Explore AI-based cancer image segmentation for radiation therapy planning, leveraging the RADCURE dataset to optimize head and neck cancer treatment strategies.
Capsule Network-based Framework for Identification of COVID Cases from X-ray Images
Explore a Capsule Network framework for COVID-19 detection in X-ray images, addressing small dataset challenges and outperforming CNN models.
Deep Learning-Based Lung Ultrasound Video Classification to Predict COVID-19
Explore deep learning methods for COVID-19 detection using lung ultrasound videos, focusing on results, methodology, and explainability of the approach.
Artificial Intelligence Primer for Pediatric Cardiac Imaging
Explore AI's impact on pediatric cardiac imaging with Dr. Shelby Kutty. Gain insights into machine learning, neural networks, and their applications in diagnosing cardiac conditions.
SE3 Equivariant Hemodynamic Field Estimation in 3D Artery Models via Graph Neural Networks
Estimate hemodynamic fields in 3D artery models using SE3 equivariant graph neural networks, enhancing accuracy and efficiency in cardiovascular research.
The Use of Artificial Intelligence in Gastric Cancer Screening
Explore AI applications in gastric cancer screening, focusing on innovative detection methods and potential improvements in early diagnosis and patient outcomes.
Technologies Disrupting Brain Health
Explore groundbreaking neurotechnologies and solutions bridging the gap in brain health care, unlocking the brain's potential for recovery and optimization at any age.
Artificial Intelligence for More Effective Cancer Diagnosis - Part 1
Explore machine learning applications in radiology for improved cancer diagnosis with Professor Andrea Rockall's insights on whole body MRI, frailty, and patient safety.
AI to Detect and Manage Alzheimer's and Dementia - Part 1
Explore AI applications for early detection and management of Alzheimer's and dementia, focusing on imaging techniques and their potential impact on diagnosis and treatment.
Detecting Bone Fractures Using Deep Learning and YOLOv8 - Object Detection Tutorial
Implement object detection for bone fractures using YOLOv8 and Python. Learn to load models, process images, and visualize predictions with hands-on coding examples.
Large Scale Multi-Microscope Datasets and Their Challenges in Medical AI
Explore groundbreaking research on multi-microscope datasets for malaria and leukemia detection, featuring innovative domain adaptation techniques and object detection methods to enhance early disease diagnosis.
Divide (or Convolve) and Conquer: Data Comparison with Wiener Filters
Explore Wiener filters for data comparison in machine learning, enhancing image reconstruction and translation robustness in various applications like compression and generative modeling.
An ML System for Radiotherapy Cancer Care - From Lab to Lives
Explore ML algorithm deployment for prostate cancer radiation therapy planning in a clinical study. Learn about evaluation methods, physician assessments, and real-world impact on patient treatment.
Optical Espionage: Using Lasers to Hear Keystrokes Through Glass Windows
Discover how lasers and physics enable remote keystroke detection through windows, exploring side-channel attacks, signal interpretation, and modern espionage techniques for data extraction.