Blogs

Stay informed by reading about our medical artificial intelligence resources.

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The Transformative Power of Generative AI in Surgical Procedures

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Using AI to Inform TAVR and Reduce Post-Procedure Pacemaker Rates

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How the Metaverse and AI Will Transform Healthcare

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How Advancing AI Can Change the Course of Lung Cancer Treatment

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Harnessing the Power of AI: Revolutionizing Suicide Prevention for Teens and Veterans

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Is Ai In Healthcare Dumb?

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How Augmented Ai can predict complications of Diabetes using Genomics and Precision Pharmacotherapy

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How Augmented AI Will Power Automated Healthcare

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Machine Learning Algorithms in Preventative Cardiology: Towards Predictive Cardiology

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Machine Learning Algorithms and AI: Augmenting Safety and Predicting Complications in Transcatheter Aortic Valve Replacement

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Machine Learning Disparities in People of Color – Analyzing The Impact In Healthcare

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How Generative AI Can Help Reduce Medical Errors

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Medical Mayhem: How Poor Data Labeling is Sabotaging AI in Healthcare

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Harnessing AI and ML Algorithms for Value-Based Care Models in Healthcare

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How Ai Can Reduce Physician Burnout

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A White Paper on How Quantum Machine Learning Is Ready For Primetime in Healthcare

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Humanizing Artificial Intelligence Creates Better Doctors

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Problems of Bringing Machine Learning to The Bedside in Healthcare

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Machine Learning Algorithms in Predicting Silent Hypoxia

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How Generative AI Will Benefit Physicians and Patients

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How Machine Learning Algorithms Can Augment Precision Delivery of TAVR Valves in Structural Heart Disease

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Predicting Heart Failure and Sudden Cardiac Death in Atrial Fibrillation Patients Using Artificial Intelligence

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Will AI rule our lives? The Risks of AI Paternalism

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Is There a Role for Artificial Intelligence in Integrative Healthcare Today?

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Integrating PubMed and Google Scholar with ChatGPT To Optimize Cardiovascular Disease Treatment

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Is Ai The New Crypto in Healthcare?

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The AutoGPT Dilemma: Savior or Saboteur of Patient Care?

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A Counter Argument to Microsoft and Epic’s Partnership: Introducing a New Approach with ChatGPT-4, EHRs, and DICOM Images

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The Risks of AI Paternalism on Patient Autonomy: A Deeper Exploration

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Physicians Needed in The Healthcare Metaverse

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Blockchain and Non-Fungible Tokens in Healthcare

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HIMSS 2023: Disruptive Ai in Healthcare

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Predict and Prevent: Artificial Intelligence in Medicine

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A Comparative Analysis of LLMs for Scientific Writing: ChatGPT 4, BioBERT, SciBERT, and BioGPT

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Considering Coronary Artery Bypass Grafting in COVID-19 Patients

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How Language Processors Will Change Healthcare in 2023

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ChatGPT Takes on Thoracic Surgery: A Comparative Analysis of AI Performance on Board Exams

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Artificial Intelligence and Machine Learning Explained

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A Machine Learning Protocol to Screen For Atrial Fibrillation

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How Machine Learning Can Be Used to Predict and Prevent Teen Depression and Suicide

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Genetic Sequencing and Machine Learning: Anticipating Cardiovascular Disease

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The Dunning-Kruger Effect and AI in Healthcare

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The Future of ChatGPT: The Potential of an AI-Based Scribe

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A Comparative Analysis of Anti-inflammatory Mediterranean Cardiac Diet, Intermittent Fasting, and Plant-based Anti-inflammatory Diet in Cardiac Patients

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Mediterranean Anti-Inflammatory Diet

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A White Paper on Machine Learning Improving the Diagnosis and Treatment of Heart and Lung Diseases

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Artificial Intelligence Lung Cancer Screening Platform For Solitary Pulmonary Nodules

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Using Silent Hypoxia In AI Algorithms As A Prognostic Indicator Of Cardiovascular Disease

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Using Machine Learning to Predict AKI and Augment Mannitol Concentrations in Cardioplegia Solution During Coronary Artery Bypass

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Artificial Intelligence Screening of Cardiovascular Risk in COVID-19 Patients- A 10 Step Screening Program

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How Ai Can Help Make Medical Students Be Better Doctors in 2025

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Revolutionizing Healthcare: How Generative Ai will Modernize the Art of Medicine

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Leveraging Machine Learning to Outsmart the Pharmaceutical Industry: A Pathway to Affordable Drugs

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Augmented Artificial Intelligence for Predicting and Preventing Complications of Type II Diabetes

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Will Humans Trust an Ai Physician? More Easily Than you Think!

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GPT-4 and Enhanced Decision-Making for Physicians in Healthcare

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Proposed Machine Learning Strategy to Predict Longevity

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How Machine Learning Algorithms Will Reduce Medical Errors in Trauma Patients

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How Physicians and Patients Can Trust Ai Search Engines In Healthcare

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Ai Voice Engines Modernize the Operating Room in Cardiac Surgery

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Augmented Reality in the Operating Room

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How Reinforcement Learning in Healthcare Needs Human Feedback to Accelerate Adoption

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The Current Status of Ai in Healthcare 2023

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The Intelligent Future of Healthcare: A Guide to Creating Bulletproof Digital Health Ecosystems

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Nutrition Advice: Plant-based Anti-Inflammatory High Protein Cardiac Diet for Patients

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How Can Machine Learning Algorithms For Cardiac Imaging Augment Clinical Decision-Making in The Field?

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Integrating Augmented Artificial Intelligence with Physician Decision-Making: More Precise Cardiovascular Healthcare

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Machine Learning Blackbox Algorithms in Healthcare: How to Mitigate them

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Using Artificial Intelligence to Evaluate Frailty and Atrial Fibrillation

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Health Complications Predicted by Heart Rate Variability and Pulse Oximetry Using Artificial Intelligence

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How ML Algorithms Can Predict Complications and Improve Decision Making in the Cardiac ICU

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Anti-inflammatory Diet Plan With Intermittent Fasting

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Edge Computing and Privacy in Healthcare

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AI Governance in Healthcare

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Federated and Swarm Learning for Privacy AI Computing in Healthcare

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How Ai Algorithms Can Augment Robotic Cardiothoracic Surgery

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Ai Pocket Tools for Physicians: Augmenting Decision Making

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How Artificial Intelligence Can Help Stop Human and Organ Trafficking

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ChatGPT As a Powerful EMR Tool

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Artificial Intelligence And Machine Learning Algorithms in Prediction of Atrial Fibrillation

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The Future of Ai in Healthcare

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The Philosophy of Using Ai to Generate Innovative Output in the Healthcare Industry

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Prediction of Atrial Fibrillation from Imaging

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Revolutionizing Oncology with Artificial Intelligence

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How Machine Learning Algorithms Predict Complications in Congenital Heart Disease

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A Framework for the Development of Artificial Intelligence as a Co-Pilot in the Cardiac Operating Room

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Harnessing Artificial Intelligence in the ICU

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