E Medmultilingua

Technology in Medicine

  • Predicting Alzheimer’s Disease with Machine Learning: A Glimpse into Future Diagnostics

    Dr. Marco V. Benavides Sánchez. Alzheimer’s disease (AD) stands as a formidable challenge in healthcare, affecting millions globally with its progressive cognitive decline. However, recent advancements in technology, particularly in the realms of machine learning and deep learning, offer promising avenues for early detection and intervention. In this article, we delve into how these innovative…

  • Exploring High-Resolution Cervical Auscultation (HRCA) in Dysphagia Management

    Dr. Marco V. Benavides Sánchez. Swallowing is a complex physiological process often taken for granted until it becomes compromised. Dysphagia, or swallowing disorders, can significantly impact a person’s health and quality of life, making early detection and effective management crucial. In recent years, advancements in medical technology have introduced innovative methods for assessing dysphagia, one…

  • Harnessing Artificial Intelligence to Transform Global Surgical Systems

    Dr. Marco V. Benavides Sánchez. Artificial intelligence (AI) has emerged as a transformative force across various sectors, revolutionizing how we approach healthcare delivery, especially in the realm of surgical systems. This article explores the multifaceted applications of AI in addressing global public health challenges, focusing particularly on road traffic injuries and their impact on surgical…

  • Unlocking Nature’s Blueprints: How AI Transforms Protein Structure Prediction

    Dr. Marco V. Benavides Sánchez. In the realm of biological sciences, a quiet revolution is underway, driven not by traditional laboratory techniques but by the computational prowess of artificial intelligence (AI). At the forefront of this revolution stands AlphaFold, an AI system developed by DeepMind, a subsidiary of Google. AlphaFold has garnered attention for its…

  • The Evolution of AI in Medical Diagnosis: Google’s Innovations and Implications

    Dr. Marco V. Benavides Sánchez. Artificial intelligence (AI) is reshaping the landscape of healthcare with its potential to revolutionize medical diagnosis and patient care. Among the leaders in this arena is Google, whose innovative strides in AI-driven medical diagnostics are pushing boundaries and transforming healthcare delivery worldwide. Google Health, a division dedicated to leveraging advanced…

  • Semaglutide: Transforming Care for Type 2 Diabetes and Chronic Kidney Disease

    Dr. Marco V. Benavides Sánchez. In the realm of medical breakthroughs, few developments hold as much promise as the recent findings regarding semaglutide and its impact on patients with type 2 diabetes and chronic kidney disease (CKD). A groundbreaking study published in The New England Journal of Medicine has illuminated the significant benefits of semaglutide…

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This is how it all started…


The beginnings of Artificial Intelligence (AI) represent a fascinating chapter in the history of human thought and technology. They date back to the mid-20th century, when scientists and visionaries began exploring the possibility of creating machines capable of thinking and learning like humans. This quest to replicate human intelligence in machines gave rise to revolutionary advances that have transformed countless aspects of our society and our way of life.

One of the starting points of AI is found in the 1950s, with the birth of modern computing. Pioneers such as Alan Turing, considered the father of computing and AI, laid the theoretical foundations for what would come later. His seminal work on the “Turing Machine” and his famous Turing Test laid the foundation for thinking about artificial intelligence and how we could evaluate it.

However, the term “Artificial Intelligence” itself was coined later, at a 1956 conference at Dartmouth College, where John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, among others, met to discuss the possibility. to create intelligent machines. This historic meeting marked the formal beginning of the AI ​​discipline as a field of study.

Over the following decades, advances in hardware and software laid the foundation for the development of AI. Different approaches and paradigms emerged, from symbolic logic to machine learning and neural networks. One of the early milestones was the development of the chess program “The Turk” in the 18th century, although it was later discovered that it was being operated by a human. However, it set a precedent for the idea of ​​machines that could challenge the human mind in strategy games.

In the 1960s and 1970s, AI saw significant growth, with research and development in areas such as problem solving, natural language processing, and computer vision. One of the highlights was the development of the “ELIZA” program by Joseph Weizenbaum in 1966, which simulated a therapeutic conversation and demonstrated the ability of machines to interact with humans in more complex ways.

During the 1980s and 1990s, AI continued to advance, although it also faced periods of disillusionment known as “AI winters,” where progress seemed to stagnate. However, these periods of stagnation were followed by new advances that revitalized the field. One of the most important milestones of this era was the development of expert systems, which used rules and knowledge bases to imitate human reasoning in specific domains.

The turn of the millennium brought with it a renaissance of AI, driven largely by the increase in computing power and the availability of large amounts of data. Machine learning, and in particular the deep neural network approach, began to bear fruit in practical applications such as speech recognition, machine translation, and autonomous driving.

Today, AI is present in almost every aspect of our daily lives, from online search engines to content recommendation systems and virtual assistants on our mobile devices. It continues to evolve at a rapid pace, with advances in areas such as generative AI, autonomous robotics and explanatory AI, which seeks to make AI systems more transparent and understandable to humans.

Dr. Marco Benavides

Medicine and Surgery