AI-Driven Early Warning Systems for Critical Care Units: Enhancing Patient Safety
Abstract
In critical care units (CCUs), early detection of deteriorating patient conditions is vital for preventing adverse outcomes. This paper explores the use of AI and machine learning in developing early warning systems that can identify signs of patient deterioration, such as sepsis, respiratory failure, or cardiac arrest, before they become life-threatening. By analyzing real-time data from vital signs, laboratory results, and patient history, AI algorithms can provide timely alerts to healthcare providers, enabling swift intervention. The paper discusses the integration of AI with clinical workflows, challenges in data quality, and the importance of model accuracy in life-critical settings.
References
Yarlagadda, V. S. T. (2017). AI-Driven Personalized Health Monitoring: Enhancing Preventive Healthcare with Wearable Devices. International Transactions in Artificial Intelligence, 1(1). Retrieved from https://isjr.co.in/index.php/ITAI/article/view/330
Yarlagadda, V. S. T. (2018). AI-Powered Virtual Health Assistants: Transforming Patient Care and Healthcare Delivery. International Journal of Sustainable Development in Computer Science Engineering, 4(4). Retrieved from https://journals.threws.com/index.php/IJSDCSE/article/view/326
Yarlagadda, V. S. T. (2017). AI-Driven Personalized Health Monitoring: Enhancing Preventive Healthcare with Wearable Devices. International Transactions in Artificial Intelligence, 1(1). Retrieved from https://isjr.co.in/index.php/ITAI/article/view/330
Yarlagadda, V. S. T. (2019). AI for Remote Patient Monitoring: Improving Chronic Disease Management and Preventive Care. International Transactions in Artificial Intelligence, 3(3). Retrieved from https://isjr.co.in/index.php/ITAI/article/view/325
Yarlagadda, V. S. T. (2019). AI-Enhanced Drug Discovery: Accelerating the Development of Targeted Therapies. International Scientific Journal for Research, 1(1). Retrieved from https://isjr.co.in/index.php/ISJR/article/view/323
Yarlagadda, V. S. T. (2020). AI and Machine Learning for Optimizing Healthcare Resource Allocation in Crisis Situations. International Transactions in Machine Learning, 2(2). Retrieved from https://isjr.co.in/index.php/ITML/article/view/332
KOLLURI, V. (2016). MACHINE LEARNING IN MANAGING HEALTHCARE SUPPLY CHAINS: HOW MACHINE LEARNING.
KOLLURI, V. (2014). VULNERABILITIES: EXPLORING RISKS IN AI MODELS AND ALGORITHMS.
KollurI, V. AN IN-DEPTH EXPLORATION OF UNVEILING VULNERABILITIES: EXPLORING RISKS IN AI MODELS AND ALGORITHMS. IJRAR-International Journal of Research and Analytical Reviews (IJRAR), E-ISSN, 2348-1269.
Gatla, T. R. (2022). BLOCKCHAIN AND AI INTEGRATION FOR FINANCIAL.
Gatla, T. R. A CRITICAL EXAMINATION OF SHIELDING THE CYBERSPACE: A REVIEW ON THE ROLE OF AI IN CYBER SECURITY.
Gatla, T. R. REVOLUTIONIZING HEALTHCARE WITH AI: PERSONALIZED MEDICINE: PREDICTIVE.
Gatla, T. R. An innovative study exploring revolutionizing healthcare with ai: personalized medicine: predictive diagnostic techniques and individualized treatment. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
Gatla, T. R. ENHANCING CUSTOMER SERVICE IN BANKS WITH AI CHATBOTS: THE EFFECTIVENESS AND CHALLENGES OF USING AI-POWERED CHATBOTS FOR CUSTOMER SERVICE IN THE BANKING SECTOR (Vol. 8, No. 5). TIJER–TIJER–INTERNATIONAL RESEARCH JOURNAL (www. TIJER. org), ISSN: 2349-9249.
Gatla, T. R. (2017). A SYSTEMATIC REVIEW OF PRESERVING PRIVACY IN FEDERATED LEARNING: A REFLECTIVE REPORT-A COMPREHENSIVE ANALYSIS. IEJRD-International Multidisciplinary Journal, 2(6), 8.
Gatla, T. R. (2019). A CUTTING-EDGE RESEARCH ON AI COMBATING CLIMATE CHANGE: INNOVATIONS AND ITS IMPACTS. INNOVATIONS, 6(09).
Gatla, T. R. “A GROUNDBREAKING RESEARCH IN BREAKING LANGUAGE BARRIERS: NLP AND LINGUISTICS DEVELOPMENT. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
Gatla, T. R. (2018). AN EXPLORATIVE STUDY INTO QUANTUM MACHINE LEARNING: ANALYZING THE POWER OF ALGORITHMS IN QUANTUM COMPUTING. International Journal of Emerging Technologies and Innovative Research (www. jetir. org), ISSN, 2349-5162.
Gatla, T. R. MACHINE LEARNING IN DETECTING MONEY LAUNDERING ACTIVITIES: INVESTIGATING THE USE OF MACHINE LEARNING ALGORITHMS IN IDENTIFYING AND PREVENTING MONEY LAUNDERING SCHEMES (Vol. 6, No. 7, pp. 4-8). TIJER–TIJER–INTERNATIONAL RESEARCH JOURNAL (www. TIJER. org), ISSN: 2349-9249.
Velaga, S. P. (2014). DESIGNING SCALABLE AND MAINTAINABLE APPLICATION PROGRAMS. IEJRD-International Multidisciplinary Journal, 1(2), 10.
Velaga, S. P. (2016). LOW-CODE AND NO-CODE PLATFORMS: DEMOCRATIZING APPLICATION DEVELOPMENT AND EMPOWERING NON-TECHNICAL USERS. IEJRD-International Multidisciplinary Journal, 2(4), 10.
Velaga, S. P. (2017). “ROBOTIC PROCESS AUTOMATION (RPA) IN IT: AUTOMATING REPETITIVE TASKS AND IMPROVING EFFICIENCY. IEJRD-International Multidisciplinary Journal, 2(6), 9.
Velaga, S. P. (2018). AUTOMATED TESTING FRAMEWORKS: ENSURING SOFTWARE QUALITY AND REDUCING MANUAL TESTING EFFORTS. International Journal of Innovations in Engineering Research and Technology, 5(2), 78-85.
Velaga, S. P. (2020). AIASSISTED CODE GENERATION AND OPTIMIZATION: LEVERAGING MACHINE LEARNING TO ENHANCE SOFTWARE DEVELOPMENT PROCESSES. International Journal of Innovations in Engineering Research and Technology, 7(09), 177-186.
Velaga, S. P. R. (2021). AI in Health Monitoring: Continuous Care through Wearable Technology. International Journal of Holistic Management Perspectives, 2(2).
Velaga, S. P. R. (2020). AI in Cardiovascular Care: From Early Detection to Personalized Treatment. International Journal of Holistic Management Perspectives, 1(1).
Velaga, S. P. R. (2018). AI in Healthcare Chatbots: Enhancing Patient Engagement and Support. International Numeric Journal of Machine Learning and Robots, 2(2).
Velaga, S. P. R. (2017). AI in Healthcare Accessibility: Bridging the Urban-Rural Divide. International Numeric Journal of Machine Learning and Robots, 1(1).
Veera All 7(8)
Pindi, V. (2018). NATURAL LANGUAGE PROCESSING(NLP) APPLICATIONS IN HEALTHCARE: EXTRACTING VALUABLE INSIGHTS FROM UNSTRUCTURED MEDICAL DATA. International Journal of Innovations in Engineering Research and Technology, 5(3), 1-10.
Pindi, V. (2019). A AI-ASSISTED CLINICAL DECISION SUPPORT SYSTEMS: ENHANCING DIAGNOSTIC ACCURACY AND TREATMENT RECOMMENDATIONS. International Journal of Innovations in Engineering Research and Technology, 6(10), 1-10.
PINDI, V. (2022). ETHICAL CONSIDERATIONS AND REGULATORY COMPLIANCE IN IMPLEMENTING AI SOLUTIONS FOR HEALTHCARE APPLICATIONS. IEJRD-International Multidisciplinary Journal, 5(5), 11.
Pindi, V. (2021). AI in Dental Healthcare: Transforming Diagnosis and Treatment. International Journal of Holistic Management Perspectives, 2(2).
Pindi, V. (2020). AI in Rare Disease Diagnosis: Reducing the Diagnostic Odyssey. International Journal of Holistic Management Perspectives, 1(1).
Pindi, V. (2018). AI for Surgical Training: Enhancing Skills through Simulation. International Numeric Journal of Machine Learning and Robots, 2(2).
Pindi, V. (2017). AI in Rehabilitation: Redefining Post-Injury Recovery. International Numeric Journal of Machine Learning and Robots, 1(1).
Kolluri, V. A COMPREHENSIVE ANALYSIS ON EXPLAINABLE AND ETHICAL MACHINE: DEMYSTIFYING ADVANCES IN ARTIFICIAL INTELLIGENCE (Vol. 2, No. 7). TIJER–TIJER–INTERNATIONAL RESEARCH JOURNAL (www. TIJER. org), ISSN: 2349-9249.
Kolluri, V. REVOLUTIONARY RESEARCH ON THE AI SENTRY: AN APPROACH TO OVERCOME SOCIAL ENGINEERING ATTACKS USING MACHINE INTELLIGENCE. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
Kolluri, V. AN INNOVATIVE STUDY EXPLORING REVOLUTIONIZING HEALTHCARE WITH AI: PERSONALIZED MEDICINE: PREDICTIVE DIAGNOSTIC TECHNIQUES AND INDIVIDUALIZED TREATMENT. International Journal of Emerging Technologies and Innovative Research (www. jetir. org| UGC and issn Approved), ISSN, 2349-5162.
Kolluri, V. (2016). A PIONEERING APPROACH TO FORENSIC INSIGHTS: UTILIZATION AI FOR CYBERSECURITY INCIDENT INVESTIGATIONS. IJRAR-International Journal of Research and Analytical Reviews (IJRAR), E-ISSN, 2348-1269.
KOLLURI, V. Cybersecurity Challenges in Telehealth Services: Addressing the security vulnerabilities and solutions in the expanding field of telehealth. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
KOLLURI, V. A THOROUGH EXAMINATION OF FORTIFYING CYBER DEFENSES: AI IN REAL TIME DRIVING CYBER DEFENCE STRATEGIES TODAY. International Journal of Emerging Technologies and Innovative Research (www. jetir. org), ISSN, 2349-5162.
Kolluri, V., & OF, A. E. I. I. G. THE DIGITAL REALM: AI-DRIVEN ANTIVIRUS AND CYBER THREAT INTELLIGENCE‖ (Vol. 2, No. 11). TIJER–TIJER–INTERNATIONAL RESEARCH JOURNAL (www. TIJER. org), ISSN: 2349-9249.
KOLLURI, V. ANALYTICS FOR PATIENT CARE: HOW AI IS USED TO PREDICT PATIENT HEALTH OUTCOMES AND IMPROVE CARE PLANS. TIJER– TIJER– INTERNATIONAL RESEARCH JOURNAL(www. TIJER. org), ISSN, 2349-9249.
KOLLURI, V. " CUTTING-EDGE INSIGHTS INTO UNMASKING MALWARE: AI-POWERED ANALYSIS AND DETECTION TECHNIQUES. International Journal of Emerging Technologies and Innovative Research (www. jetir. org| UGC and issn Approved), ISSN, 2349-5162.
KOLLURI, V. A DETAILED ANALYSIS OF AI AS A DOUBLE-EDGED SWORD: AI-ENHANCED CYBER THREATS UNDERSTANDING AND MITIGATION. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
KOLLURI, V. (2021). A COMPREHENSIVE STUDY ON AIPOWERED DRUG DISCOVERY: RAPID DEVELOPMENT OF PHARMACEUTICAL RESEARCH. International Journal of Emerging Technologies and Innovative Research (www. jetir. org| UGC and issn Approved), ISSN, 2349-5162.
Whig, P., & Adusumilli, S. B. K. (2022). Machine Learning Applications in Healthcare Supply Chains: Improving Efficiency, Resilience, and Patient Outcomes. Transactions on Recent Developments in Health Sectors, 5(5).
Adusumilli, S. B. K., Damancharla, H., & Metta, A. R. (2021). AI-Powered Cybersecurity Solutions for Threat Detection and Prevention. International Journal of Creative Research In Computer Technology and Design, 3(3).
Adusumilli, S. B. K., Damancharla, H., & Metta, A. R. (2020). Leveraging AI for Real-Time Sentiment Analysis in Social Media Networks. International Numeric Journal of Machine Learning and Robots, 4(4).
Dhaiya, S., Pandey, B. K., Adusumilli, S. B. K., & Avacharmal, R. (2021). Optimizing API Security in FinTech Through Genetic Algorithm based Machine Learning Model.
Adusumilli, S., Damancharla, H., & Metta, A. (2020). Artificial Intelligence-Driven Predictive Analytics for Educational Behavior Assessment. Transactions on Latest Trends in Artificial Intelligence, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/638
Adusumilli, S., Damancharla, H., & Metta, A. (2020). Machine Learning Algorithms for Fraud Detection in Financial Transactions. International Journal of Sustainable Development in Computing Science, 2(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/639
Adusumilli, S., Damancharla, H., & Metta, A. (2021). Deep Learning Techniques for Image Recognition in Autonomous Vehicles. (2021). International Meridian Journal, 3(3). https://meridianjournal.in/index.php/IMJ/article/view/94
Adusumilli, S., Damancharla, H., & Metta, A. (2021). Integrating Machine Learning and Blockchain for Decentralized Identity Management Systems. (2021). International Journal of Machine Learning and Artificial Intelligence, 2(2). https://jmlai.in/index.php/ijmlai/article/view/46
Adusumilli, S., Damancharla, H., & Metta, A. (2022). Blockchain-Based Secure Framework for IoT Data Management. International Journal of Sustainable Development in Computing Science, 4(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/640
Adusumilli, S., Damancharla, H., & Metta, A. (2022). Optimizing Supply Chain Efficiency Through Blockchain and Smart Contracts. (2022). International Numeric Journal of Machine Learning and Robots, 6(6). https://injmr.com/index.php/fewfewf/article/view/183
Yarlagadda, V. S. T. (2019). AI for Remote Patient Monitoring: Improving Chronic Disease Management and Preventive Care. International Transactions in Artificial Intelligence, 3(3). Retrieved from https://isjr.co.in/index.php/ITAI/article/view/325
Yarlagadda, V. S. T. (2019). AI-Enhanced Drug Discovery: Accelerating the Development of Targeted Therapies. International Scientific Journal for Research, 1(1). Retrieved from https://isjr.co.in/index.php/ISJR/article/view/323
Yarlagadda, V. S. T. (2020). AI and Machine Learning for Optimizing Healthcare Resource Allocation in Crisis Situations. International Transactions in Machine Learning, 2(2). Retrieved from https://isjr.co.in/index.php/ITML/article/view/332
Yarlagadda, V. S. T. (2022). Deep Learning for Early Detection of Alzheimer’s Disease: A Medical Imaging Approach. International Transactions in Machine Learning, 4(4). Retrieved from https://isjr.co.in/index.php/ITML/article/view/333
