Skip Nav

Contact Us

Khalpey AI Lab

Thank you for your interest in our company. Complete the form below to send us an email, or simply give us a call. We're looking forward to working with you.

      Acceptance of AI-based physicians in healthcare Adoption of new technologies Advancements in healthcare through AI-based physicians Advantages of AI-based physicians in healthcare Advantages of generative AI in medicine affordable drugs machine learning afib afib prediction afib screening protocol AI AI and AKI AI Applications to Reduce Physician Stress AI as a Tool in Healthcare ai bias AI drug discovery ai ecosystem AI for cheaper medications ai in healthcare AI in pharmaceutical industry AI in the operating room AI in the OR ai paternalism AI Pocket Tools in Healthcare ai search engines AI Solutions for Physician Burnout ai surgical assistance AI tools AI Tools to Combat Healthcare Worker Burnout AI-assisted drug production AI-based medical scribe AI-based physicians: benefits and concerns AI-enabled drug design AI-powered clinical decision-making AI-powered healthcare tools AI-powered prescription management ai-trained medical students algorithmic bias algorithmic monitoring algorithms anti-inflammatory diet anxiety arrythmia artificial artificial intelligence Artificial Intelligence and Physician Burnout artificial intelligence implementation Artificial Intelligence Improving Healthcare Artificial Intelligence Strategies for Decreasing Physician Burnout Artificialintelligence atrial fibrillation Augment decision making augmented artificial intelligence augmented decision making augmented reality autogpt autogpt and healthcare Bedside Diagnosis Bias in AI algorithms biomarkers black box algorithms blockchain CABG and AKI CABG in COVID-19 patients calcium score cancer cancer research cancerscreening cardiology cardiothoracic surgery cardiovascular cardiovascular disease cardiovascular disease treatment cardiovascular risk chatgpt ChatGPT and GPT-4 in healthcare Clinical decision support systems (CDSS) Concerns about using AI-based physicians congenital heart disease continuing education covid COVID-19 positive patients and CABG complications covid-19 screening COVID-19 transmission in the hospital setting during CABG CPB and AKI cryptocurrency ct scan ct scans data data labeling data privacy data protection data security Decision trees Deep Learning depression diabetes diabetes treatment dicom diet for surgery Disease outbreak prediction with generative AI disease prevention drug discovery drug optimization with ML Dunning-Kruger Effect early diabetes diagnosis Edge Computing education ehr EHR management with artificial intelligence ekg Electronic health records (EHR) emr emr search enhancing patient outcomes epic ethics Ethics of AI in healthcare evidence-based medicine Exploring the potential of AI-based physicians in healthcare Federated and Swarm Learning federated learning future of ai Future of AI in healthcare Future of Health and Medicine future of healthcare generative ai Generative AI in healthcare Generative AI models for disease diagnosis genetic sequencing and ai Genomics googlescholar GPT-4 healthcare healthcare and ai Healthcare data standardization healthcare decision-making with machine learning Healthcare disparities healthcare disparity Healthcare metaverse healthy diet heart heart disease Heart Failure Heart Rate Variability hospital records How AI can reduce Physician Burnout How to address concerns about AI-based physicians human trafficking Hybrid strategies for CABG in COVID-19 positive patients hypoxia a biomarker for cardiovascular disease improving healthcare Improving patient outcomes with AI Improving Physician Job Satisfaction with AI integrative healthcare intellectual property intelligence intermittent fasting interpretability in machine learning involving stakeholders in machine learning kai labeling language learning models Language processors and medicine learning LIFE formula long-term covid longevity lung cancer machine machine leanring prediction Machine learning Machine Learning and AKI machine learning drug discovery machine learning drug repurposing Machine learning for healthcare innovation machine learning in healthcare machine learning pharmaceutical innovation machinelearning mannitol and AKI Medical documentation automation Medical errors Medical imaging analysis with ChatGPT and GPT-4 medical records Medical scribe support medical student education medical training mediterranean diet mental health mental health crisis Metaverse microscoft minimally invasive surgery mitigating algorithmic risk ML in drug target identification ML-driven drug development natural language processing natural language processor Neural Processing Networks NFTs non-fungible tokens oncology open ai openai organ trafficking Paternalism patient autonomy patient care patient data Patient education with AI patient outcomes in healthcare algorithms patient privacy patient safety Patient-centered framework personalized heathare Personalized medicine with generative AI Personalized treatment recommendations Physician Decision Making plant-based diet Potential benefits of using AI-based physicians in healthcare precision healthcare preventative prevention of AKI Privacy AI Computing Promoting Privacy and Security proteomics pubmed quantum machine learning random forests Reducing Bias Reducing Physician Burnout with Artificial Intelligence reinforcement learning Remote Monitoring Revolutionizing Healthcare: How Generative AI will Modernize the Art of Medicine risk prediction Safety of CABG in asymptomatic COVID-19 patients Safety of CABG in symptomatic COVID-19 patients scientific writing silent hypoxia solitarypulmonarylungnodule SPNs standardized exams structural heart disease suicide suicide prevention supervised surgery surgery diet plan surgical timeout swarm learning TAVR technology teenagers teenagers and mental health teens teens and mental health Telecommunication Telemedicine The future of healthcare: AI-based physicians The Impact of AI on Healthcare Staff Burnout The Role of AI in Healthcare Workforce Burnout thoracic surgery training better doctors transparency in healthcare algorithms trauma surgery trust in ai unsupervised Updated Healthcare Practice Updated Learning using ai safely using autogpt in healthcare value based care models veterans veterans and mental health Virtual Health Coach Virtual reality voice integration Will humans accept an AI-based physician?

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

      September 10th, 2023
      Authors: Amina H Khalpey, PhD, Kirtana Roopan, Ujjawal Kumar BA & Zain Khalpey, MD, PhD, FACS Introduction Transcatheter aortic valve replacement (TAVR) has emerged as a minimally invasive alternative to surgical aortic valve replacement to…

      Read Article

      How Advancing AI Can Change the Course of Lung Cancer Treatment

      July 7th, 2023
      Authors: Zain Khalpey, MD, PhD, FACS, Kirtana Roopan, Ujjawal Kumar BA, Brynne Rozell, DO, Jessa Deckwa, BS, Amina Khalpey, PhD Abstract: Lung cancer is a leading cause of cancer-related deaths worldwide. Early detection and accurate…

      Read Article

      How Augmented AI Will Power Automated Healthcare

      June 19th, 2023
      Authors: Zain Khalpey, MD, PhD, FACS, Jessa Deckwa, BS, and Amina Khalpey PhD Introduction Augmented AI is already being used in various applications within the healthcare industry, and its potential for future growth is vast. Advances in…

      Read Article

      Machine Learning Algorithms in Preventative Cardiology: Towards Predictive Cardiology

      June 16th, 2023
      Authors:Zain Khalpey, MD, PhD, FACS, Chintan Patel, MD, Sirisha Vadali, MD, Amina Khalpey, PhD and Jessa Deckwa, BS Abstract The application of machine learning (ML) algorithms in preventative cardiology has the potential to revolutionize the…

      Read Article

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


      Authors: Zain Khalpey, MD, PhD, FACS, Kirtana Roopan, Ujjawal Kumar BA, Jessa Deckwa BS, Robert Burke, MD, Robert…

      Read Article

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


      Authors: Amina Khalpey, PhD, Kirtana Roopan, Zain Khalpey, MD, PhD, FACS Machine learning tools in healthcare are rapidly gaining popularity as a means of improving accuracy and efficiency in diagnosing and predicting diseases, including…

      Read Article

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

      May 22nd, 2023
      Authors: Jessa Deckwa, BS, Mayur Bhakta, MD, & Zain Khalpey, MD, PhD, FACS Abstract The rapid advancements in artificial intelligence (AI) and machine learning (ML) have the potential to revolutionize healthcare delivery by enabling…

      Read Article

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

      May 15th, 2023
      Authors: Amina H Khalpey, PhD, Antoni Macko, PhD, Zain Khalpey, MD, PhD, FACS Quantum computing has long been touted as the next revolution in computing technology, offering unprecedented processing power and the ability to solve problems beyond…

      Read Article

      Problems of Bringing Machine Learning to The Bedside in Healthcare


      Authors: Amina Khalpey, PhD, Ujjawal Kumar, BA, Ezekiel Mendoza, BS, Zain Khalpey, MD, PhD, FACS With the development and advances in AI technology, its potential utility in healthcare at the bedside is apparent. However, there are multiple…

      Read Article

      Machine Learning Algorithms in Predicting Silent Hypoxia

      May 10th, 2023
      Authors: Amina Khalpey, PhD, Brynne Rozell, BS, Ujjawal Kumar, BA, Ezekiel Mendoza, BS, Zain Khalpey, MD, PhD, FACS Machine learning (ML) algorithms have revolutionized the field of healthcare by enabling the analysis of vast amounts of data,…

      Read Article