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Comparison Between Human and Machine Assessments of Neonatal Pain: The Role of Convolutional Neural Networks
By Dr. Marco V. Benavides Sánchez. Accurately assessing pain in newborns is a crucial aspect of neonatal care. Timely and effective pain management can significantly influence a baby’s development and overall well-being. Traditionally, healthcare providers have relied on human observation to evaluate neonatal pain. While effective to some degree, this approach has its limitations, including…
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Artificial Intelligence in Medicine: Transforming Medical and Surgical Processes
By Dr. Marco V. Benavides Sánchez. In recent years, artificial intelligence (AI) has emerged as a key tool in the transformation of modern medicine. Technologies such as machine learning, deep learning, and large language models (LLMs) have enabled significant advancements in clinical diagnosis, drug discovery, and patient care. This article explores the foundations of AI…
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The Future of Artificial Intelligence in Medicine: What to Expect in 2025
By Dr. Marco V. Benavides Sánchez. Artificial Intelligence (AI) has revolutionized various fields, and medicine is no exception. Looking ahead to 2025, the integration of AI in healthcare promises transformative changes that improve patient care, optimize workflows, and enhance overall health outcomes. This article explores the key advancements and applications of AI in medicine that…
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Cancer vaccines: the present and future of AI-powered immunotherapy
By Dr. Marco V. Benavides Sánchez. In the constant battle against cancer, one of the most devastating diseases worldwide, cancer vaccines are emerging as an innovative weapon. In this era, where artificial intelligence (AI) is transforming all fields of science and medicine, its integration into the development of therapeutic vaccines promises to open new doors…
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Raman Spectroscopy in Medicine: An Innovative Approach for Diagnosing IgA Nephropathy (IgAN)
Dr. Marco V. Benavides Sánchez. Raman spectroscopy technology has been gaining ground in various fields of science and medicine due to its ability to provide detailed analysis of biological samples without the need to alter or damage tissues. Among its many applications, it stands out as a non-invasive and precise tool for disease diagnosis. Recently,…
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AI Integration in Specialized Clinical Practices
Dr. Marco V. Benavides Sánchez. As we explore the expansion of artificial intelligence in medicine, it is essential to recognize how it is specifically integrated into fields such as gastroenterology and radiology. In these areas, AI not only optimizes the analysis of medical images, but also aids in the early detection of complex diseases. For…
Artificial Intelligence in Medicine
This is how it all started…
Artificial intelligence (AI) began as a field of study at the Dartmouth conference in 1956, where a group of scientists, including John McCarthy, Marvin Minsky, Allen Newell, and Herbert A. Simon, proposed that “every aspect of learning or any other characteristic of intelligence can, in principle, be so precisely described that a machine can be made to simulate it.” This meeting was instrumental in establishing the foundations and goals of AI, defining the field as an academic discipline and laying the groundwork for decades of research. Since then, AI has evolved from simple theories and models to complex systems capable of performing tasks that, until recently, were considered exclusive to the human intellect.
Artificial intelligence is revolutionizing the fields of medicine, surgery, and biomedical sciences in extraordinary and diverse ways. In medicine, AI systems are improving diagnosis and personalizing treatment by analyzing large volumes of medical data and complex patterns beyond human capabilities, enabling more precise and efficient medicine. In surgery, AI-assisted robots are enabling more accurate, less invasive procedures with faster recovery times. Additionally, in biomedical sciences, AI is accelerating the research and development of new drugs by modeling biochemical simulations and predicting compound efficacy with unprecedented speed and accuracy. This impact of AI is not only transforming clinical and surgical methods, but also improving patient outcomes and optimizing resources in healthcare systems around the world.
