Artificial Intelligence, Machine Learning, Data Science, and Robotics Journal is a peer-reviewed publication that explores the latest innovations and research in the fields of AI, machine learning, data science, and robotics. The journal covers a broad spectrum of topics, including algorithms, automation, intelligent systems, predictive analytics, and the integration of robotics in various industries. Its goal is to highlight cutting-edge advancements and interdisciplinary applications that push the boundaries of technology, improve efficiency, and solve complex real-world problems. By bringing together experts from diverse fields, the journal fosters knowledge-sharing and drives progress in the rapidly evolving landscape of artificial intelligence and automation.
Artificial Intelligence; AI Ethics; AI Models; AI Applications; AI Bias; AI Governance; AI in Healthcare; AI in Finance; AI-Powered Automation; Machine Learning; Supervised Learning; Unsupervised Learning; Reinforcement Learning; Neural Networks; Autoencoders; Data Science; Data Analytics; Data Engineering; Data Processing; Data Mining; Data Visualization; Business Intelligence; Cloud Computing; Hadoop; Apache Spark; SQL; Text Mining; Sentiment Analysis; Chatbots; Speech Synthesis; Named Entity Recognition; Language Modelling; Tokenization; Text-To-Speech (TTS); Speech-To-Text (STT); Robotics; Autonomous Robots; Humanoid Robots; Industrial Robots; Collaborative Robots (Cobots); Swarm Robotics; Robot Perception; Robot Motion Planning; Simultaneous Localization And Mapping (SLAM); Soft Robotics; Transformer Models; Natural Language Processing (NLP); Speech Recognition; Image Classification
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Research Article | Volume: 2, Issue: 1 Published Date: May 14, 2026 Authors: Alireza R Azadi* and Omid Panahi Abstract: Artificial intelligence (AI) is reshaping the field of surgery across the entire perioperative continuum. Unlike other medical specialties where AI primarily supports diagnosis, surgery presents unique challenges: real-time decision-making under uncertainty, complex motor skills, anatomical variability, and high-stakes adverse event prevention. This article provides a comprehensive review of AI applications in preoperative planning (risk stratification, virtual resection, instrument selection), intraoperative guidance (computer vision for anatomy recognition, surgical phase detection, robotic autonomy, augmented reality), and postoperative care (complication prediction, discharge optimization, tele-rehabilitation). |
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Research Article | Volume: 2, Issue: 1 Published Date: May 13, 2026 The Future of Artificial Intelligence in Medicine: From Prediction to Prescription and Partnership Authors: Alireza R Azadi* and Omid Panahi Abstract: Artificial intelligence (AI) has moved from theoretical possibility to clinical reality. But what comes next? This article projects the evolution of medical AI over the next decade (2026?2035). We argue that the field will undergo three fundamental shifts: (1) from narrow, task-specific models to generalist medical AI capable of handling diverse data types and clinical scenarios; (2) from passive prediction to prescriptive and interventional AI that recommends actions and, increasingly, executes them under human supervision; and (3) from a tool-centric to a partnership paradigm in which AI and clinicians form co-pilot relationships, with AI handling pattern recognition and routine cognitive tasks while physicians focus on clinical reasoning, ethics, and empathy. |
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Commentary | Volume: 2, Issue: 1 Published Date: April 03, 2026 Authors: Tirumala Ashish Kumar Manne* Abstract: The convergence of hybrid cloud computing, cybersecurity, and artificial intelligence (AI) in healthcare constitutes a field of demonstrable U.S. national importance. Healthcare and Public Health is federally designated as one of sixteen critical infrastructure sectors, and recent large-scale cyberattacks including the 2024 Change Healthcare ransomware incident, which compromised the protected health information of approximately 190 million individuals have exposed systemic vulnerabilities in the digital infrastructure upon which care delivery, payment processing, and population-level health operations depend. |
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Research Article | Volume: 2, Issue: 1 Published Date: March 23, 2026 The Intelligent Enterprise: How Artificial Intelligence is Reshaping Healthcare Management Authors: Bita Pesaran Afsharian* and Arman Jalili Uromiyeh Abstract: Artificial Intelligence (AI) is rapidly transforming healthcare beyond clinical applications, fundamentally reshaping the administrative and operational backbone of health systems worldwide. This article provides a comprehensive analysis of AI's role in healthcare management, examining its impact across three core domains: operational efficiency and patient flow, revenue cycle and financial performance, and workforce productivity. Drawing on systematic reviews, hospital implementation data, and surveys of health system leaders from 2025-2026, this paper synthesizes evidence on AI-driven management tools including predictive analytics for patient throughput, autonomous coding systems, ambient intelligence for clinical documentation, and AI-powered command centers. |
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Research Article | Volume: 2, Issue: 1 Published Date: March 20, 2026 The AI Revolution: Convergence of Digital Marketing and Medical Sciences in the Modern Era Authors: Bita Pesaran Afsharian* and Arman Jalili Uromiyeh Abstract: 1. Abstract Artificial Intelligence (AI) has emerged as a transformative force, fundamentally reshaping two critical domains: digital marketing and the medical sciences. While seemingly disparate, these fields are converging through the lens of personalization, data analytics, and predictive modeling. This article provides a comprehensive analysis of AI's role in digital marketing strategies, followed by an in-depth exploration of its revolutionary applications in medicine and dentistry. Furthermore, it investigates the novel intersection where AI-driven digital marketing is specifically tailored for the healthcare sector. By examining current technologies, applications, and future trends, this paper argues that AI serves as the central nervous system connecting patient engagement with clinical excellence. |