Bridging ML Models with Medical Insights for Learning, Inference, and Model Explanation in Radiology
Explore ML models bridging medical insights for radiology applications. Learn about self-supervised representation, progressive exaggeration, contrastive learning, causal analysis, and association tests in medical imaging.
How to Perform In Silico Clinical Trials Using EHR
Learn to conduct in silico clinical trials using electronic health records, exploring innovative approaches to evaluate oncology trial eligibility criteria with real-world data and AI.
Leveraging Medical Twitter to Build a Visual Language AI Model for Pathology
Explore leveraging medical Twitter data to develop a visual language AI model for pathology, enhancing tumor microenvironment characterization and spatial gene expression analysis.
Applications of Deep Learning in Digital Pathology and Embryology - CGSI 2023
Explore deep learning applications in digital pathology and embryology, focusing on AI-driven blastocyst ploidy prediction and tumor purity assessment from H&E slides.
Understanding Spurious Feature Learning Through the Lens of Task Difficulty
Explore spurious feature learning in medical imaging and cancer detection, examining prediction depth, task difficulty, and reusable information for improved model understanding.
AI-Based Environmentally Sustainable Cardiovascular Disease Diagnostic
Explore an LSTM-based diagnostic tool for CVDs, reducing misdiagnoses and medical waste while achieving high accuracy in disease detection.
Geometric Machine Learning for Molecular Medicine
Explore geometric machine learning applications in molecular medicine, focusing on AI models for therapeutic science and drug repurposing using knowledge graphs and contextual approaches.
Modern Observability for Cloud Applications - Spectacles on Steroids
Explore modern telemetry for cloud-based distributed systems, covering observability pillars, AWS services, OSS integration, and reference architectures for enhanced monitoring.
Neuro-Symbolic AI for Mental Healthcare
Explore neuro-symbolic AI methods for enhancing mental healthcare interventions, focusing on social media data analysis, clinical knowledge integration, and improved conversational systems.
Artificial Intelligence in Healthcare: Adapting to Uncertain Times
Explore AI's role and potential in healthcare, focusing on its impact during COVID and future applications in medical settings.
Virtual Health Assistants: Development and Applications in Mental Health Support
Explore AI-powered virtual health assistants for mental health support, covering safety, ethics, and real-world applications like ALLEVIATE-MH.
Making Computers Good Listeners
Explore advanced machine learning techniques for speech and language processing, focusing on novel algorithms that outperform traditional methods in phoneme recognition and voice onset time measurement.
Learning from Firefighters to Improve Systems Reliability
Adapt wilderness firefighting principles to enhance software engineering operations and improve system reliability during critical incidents.
AI in Precision Oncology: Personalized Treatment Ranking Based on Molecular Information
Explore AI-driven personalized cancer treatment ranking using comprehensive molecular data. Learn about innovative computational methods for precision oncology and targeted therapy selection.
Machine Learning Insights into Antimicrobial Efficacy and Resistance
Explore machine learning innovations addressing antimicrobial resistance challenges in understanding, diagnosis, and treatment. Gain insights from Dr. Jason H. Yang on combating this global health threat.
Leveraging What We Know: Knowledge Discovery and Knowledge Exploitation as Complementary Aspects of Explainable AI
Explore how Large Language Models and neuropsychiatric knowledge can be leveraged for psychiatric evaluation, diagnosis, and treatment prediction in various mental health conditions.
Synthetic Data in Medical Imaging: Are We There Yet?
Explore synthetic data's potential and challenges in medical imaging, focusing on recent advancements and future prospects for improved healthcare applications.
Echoes Over Time: Detecting Heart Defects in Newborns
Explore advanced deep learning techniques for detecting heart defects in newborns using echocardiograms. Learn to predict pulmonary hypertension and analyze cardiac function through innovative AI approaches.
AI and Emotions: Opportunities and Challenges
Explore the potential and challenges of AI emotion perception technologies, their applications, and the importance of responsible development and deployment practices.
Covid 19 and the Upsurge of Human Trafficking
Explore the hidden pandemic of human trafficking during COVID-19. Dr. Maria Burns discusses global trends, impacts, and ways to combat this critical issue in this thought-provoking TEDx talk.
Big Pharma in the Overdose Crisis - A Former Drug Rep Speaks Out
Former pharma rep exposes misleading opioid marketing practices, becomes whistleblower, and advocates for improved industry oversight to address the overdose crisis and promote public health.