Author: Tatiana Pilipenko, PhD

Automated decision support systems in healthcare are fundamentally enhancing diagnostic and treatment processes. By harnessing machine learning and advanced algorithms, these systems provide actionable insights at the point of care, supporting clinicians in making accurate, data-driven decisions. The ability to deliver precise, evidence-based guidance at each step is transforming patient outcomes and healthcare…

Automating disease detection using machine and deep learning techniques is reshaping diagnostics in healthcare. By applying machine learning (ML) algorithms to patient data, we can identify diseases earlier and more accurately. These technologies reduce human error, cut costs, and enable faster results, ultimately leading to improved patient outcomes and personalized…

Augmented reality (AR) and virtual reality (VR) have become integral to modern medical technology. Their ability to offer immersive, real-time visualization and simulation has opened new frontiers for surgeons, clinical education, and patient care. Both AR and VR promise to revolutionize the healthcare industry, providing tools that enhance precision and…

Artificial neural networks (ANNs) are reshaping medical diagnosis by enabling faster and more accurate detection and diagnosis of diseases. By simulating the structure of the human brain through deep neural networks, these learning algorithms can analyze complex medical data and assist healthcare professionals in decision-making, leading to better patient outcomes.…

Deep learning is reshaping the future of healthcare by enabling precise diagnosis, personalized treatment, and improved patient outcomes. Through deep neural networks and advanced learning algorithms, artificial intelligence is driving innovations in medical image analysis, electronic health records (EHR), and predictive analytics, creating a more efficient healthcare system. Overview: How…

Healthcare data visualization transforms complex medical information into clear, actionable insights, helping healthcare professionals make informed decisions quickly. In a field where timing and accuracy are critical, visualizing large datasets allows healthcare providers to better understand trends and improve patient outcomes. By organizing raw data from multiple sources, healthcare organizations…

Suppose you are a doctor, on a long day shift, and reviewing hundreds of medical images. Fatigue sets in, and it becomes harder to focus, which could potentially affect diagnosis accuracy. This is where computer-aided diagnosis (CAD) steps in, enhancing the precision of diagnostics and supporting healthcare professionals in identifying…

The last 40 years have achieved remarkable progress in the pharmaceutical sector, with the discovery of new drugs and modernized manufacturing processes. However, it can easily be claimed that the introduction of machine vision and AI tools would mark one of the most transformational developments in current times. Why Pharmaceutical…

You probably heard about computer vision (sometimes called “machine vision”) a million times. However, if you are on this page, you’re likely tired of reading “empty” articles written by SEO experts. We are engineers, and this article focuses on real medical applications of computer vision in healthcare applications, demonstrating its transformative…

Medical imaging technology has saved many lives over time, and the integration of Artificial Intelligence (AI) into this field is now transforming how we diagnose and treat various conditions. This article explores the impact of AI on diagnostic imaging and why it’s rapidly becoming indispensable in medical technology. Why Is…