Vol. 13 No. 1 (2022): Revista de Inteligencia Artificial en Medicina

En esta edición de la **Revista de Inteligencia Artificial en Medicina**, exploramos las fronteras de la IA en el cuidado de la salud mental. Destacamos investigaciones sobre el uso de algoritmos para detectar trastornos psicológicos a partir de datos de comportamiento y biométricos. También profundizamos en la colaboración entre humanos y máquinas en el diagnóstico precoz de enfermedades crónicas. Presentamos casos de éxito en el uso de inteligencia artificial para optimizar la gestión hospitalaria y mejorar la eficiencia de los servicios de emergencia. Acompáñenos para descubrir cómo la inteligencia artificial está transformando todos los aspectos de la atención médica.

Published: 2022-01-01

Articles

AI in Cloud-Driven Legal Automation for Space Law

Rahul Vadisetty (Author)

293-328
- PDF
Optimizing Cloud-Based Data Pipelines with Machine Learning and AI

Anand Polamarasetti (Author)

329-363
- PDF
Reducing Energy Consumption and Costs in Micro-Scale PCB Drilling via Machining Control

Harshit kumar J. Ghelani (Author)

364-380
- PDF
Limitations of Signature-Based Threat Detection

Parameshwar Reddy Kothamali, Subrata Banik (Author)

381-391
- PDF
The Role of AI in Enhancing Cybersecurity for GxP Data Integrity

Fayazoddin Mulla Syed, Faiza Kousar E S (Author)

393-420
- PDF
The Future of Data Analytics: Trends, Challenges, and Opportunities

Vamshi Bharath Munagandla, Sai Surya Varshika Dandyala, Bharath Chandra Vadde (Author)

421-442
- pdf
AI-Enhanced Adaptive Resource Allocation in Cloud-Native Databases

Hemanth Gadde (Author)

443-470
- pdf
Securing Digital Twins Cybersecurity Challenges and Strategies

Kenneth Brian (Author)

465-474
Securing Government Data, A Cybersecurity PerspectiveAs governments increasingly digitize their operations, they face growing threats from cyberattacks that aim to compromise sensitive national data. The protection of government information systems is cru

Ryan Jacob (Author)

475-484
Secure Edge Computing for IoT Systems: AI-Powered Strategies for Data Integrity and Privacy

Dinesh Reddy Chirra (Author)

485-507
- pdf
Leveraging Automation in Cybersecurity: Enhancing Threat Detection and Reducing Vulnerabilities

Siddhartha Varma Nadimpall, Noone Srinivas, Sai Surya Varshika Dandyala (Author)

535-549
- pdf
AI-Driven Vulnerability Assessment and Mitigation Strategies for CyberPhysical Systems

Bharadwaja Reddy Chirra (Author)

471-493
- pdf
AI for Network Security and Intrusion Prevention

Paul Kevin (Author)

535-547
- pdf
The Future of Network Security: Leveraging Artificial Intelligence to Combat Cyber Threats

Jacob Nicholas (Author)

547-558
- pdf
Cybersecurity in Education: Mitigating Risks and Protecting Sensitive Data in a Digital Learning Environment

Jonathan Stephen (Author)

559-571
- pdf
Cybersecurity and Patient Privacy: Mitigating Risks in the Digital Healthcare Landscape

Larry Scott (Author)

572-584
- pdf
Data Anonymization: A Comprehensive Guide to Techniques, Best Practices, and Challenges

Nathan Zachary (Author)

585-592
- pdf
Harnessing Federated Learning for Secure Distributed ETL Pipelines

Sai Rama Krishna Nersu, Srikanth Reddy Kathram (Author)

592-615
- pdf
Effective Resource Allocation in Distributed Teams: Addressing the Challenges of Remote Project Management

Srikanth Reddy Kathram, Sai Rama Krishna Nersu (Author)

615-634
- pdf
Advancements in Feature Engineering for Enhanced Threat Detection in Cybersecurity

Afsana Begum, Nazmul Hoque Ovy (Author)

634-645
- pdf
Scaling DevOps Practices in Multi-Cloud Architectures for Improved Performance and Security

Sai Surya Varshika Dandyala, Dr. Praveen Kumar yechuri (Author)

646-663
- pdf
Building a Robust Cyber Defense Strategy for Your Business

Nagaraju Pureti (Author)

35-51
- pdf
Enhancing Brain-Computer Interface Applications through IoT Optimization

Srikanth Suryadevara (Author)

52-76
- pdf
Predicting And Fighting Cyber Threats Through AI-generated Threat Intelligence

Shaikh Abdul Sattar, Samad Abdul, Saif Mohammed Khan, Bin Ibrahim Ismail (Author)

77-107
- pdf
AI-Powered Data Engineering in Cloud Environments: Challenges and Solutions

Narendra Devarasetty (Author)

108-136
Artificial Intelligence-Driven Data Integrity Verification in Cloud Computing

Dillepkumar Pentyala, Vinay Chowdary Manduva (Author)

137-234
Distributed AI Models for Ensuring High Availability and Fault Tolerance in Cloud Computing

Vinay Chowdary Manduva, Venkata Dinesh Reddy Kalli (Author)

235-266
- PDF
Next-Generation Data Reliability Techniques for AI-Powered Cloud Architectures

Vinay Chowdary Manduva (Author)

267-292
- pdf
Interpretable Machine Learning Models for Healthcare Diagnostics: Addressing the Black-Box Problem

Rithin Gopal Goriparthi (Author)

508-534
- pdf

Vol. 13 No. 1 (2022): Revista de Inteligencia Artificial en Medicina

Articles

AI in Cloud-Driven Legal Automation for Space Law

Optimizing Cloud-Based Data Pipelines with Machine Learning and AI

Reducing Energy Consumption and Costs in Micro-Scale PCB Drilling via Machining Control

Limitations of Signature-Based Threat Detection

The Role of AI in Enhancing Cybersecurity for GxP Data Integrity

The Future of Data Analytics: Trends, Challenges, and Opportunities

AI-Enhanced Adaptive Resource Allocation in Cloud-Native Databases

Securing Digital Twins Cybersecurity Challenges and Strategies

Securing Government Data, A Cybersecurity PerspectiveAs governments increasingly digitize their operations, they face growing threats from cyberattacks that aim to compromise sensitive national data. The protection of government information systems is cru

Secure Edge Computing for IoT Systems: AI-Powered Strategies for Data Integrity and Privacy

Leveraging Automation in Cybersecurity: Enhancing Threat Detection and Reducing Vulnerabilities

AI-Driven Vulnerability Assessment and Mitigation Strategies for CyberPhysical Systems

AI for Network Security and Intrusion Prevention

The Future of Network Security: Leveraging Artificial Intelligence to Combat Cyber Threats

Cybersecurity in Education: Mitigating Risks and Protecting Sensitive Data in a Digital Learning Environment

Cybersecurity and Patient Privacy: Mitigating Risks in the Digital Healthcare Landscape

Data Anonymization: A Comprehensive Guide to Techniques, Best Practices, and Challenges

Harnessing Federated Learning for Secure Distributed ETL Pipelines

Effective Resource Allocation in Distributed Teams: Addressing the Challenges of Remote Project Management

Advancements in Feature Engineering for Enhanced Threat Detection in Cybersecurity

Scaling DevOps Practices in Multi-Cloud Architectures for Improved Performance and Security

Building a Robust Cyber Defense Strategy for Your Business

Enhancing Brain-Computer Interface Applications through IoT Optimization

Predicting And Fighting Cyber Threats Through AI-generated Threat Intelligence

AI-Powered Data Engineering in Cloud Environments: Challenges and Solutions

Artificial Intelligence-Driven Data Integrity Verification in Cloud Computing

Distributed AI Models for Ensuring High Availability and Fault Tolerance in Cloud Computing

Next-Generation Data Reliability Techniques for AI-Powered Cloud Architectures

Interpretable Machine Learning Models for Healthcare Diagnostics: Addressing the Black-Box Problem

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