Predictive And Diagnostic Approaches For Systemic Disorders Using Ocular Assessment
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Predictive and Diagnostic Approaches for Systemic Disorders Using Ocular Assessment
Ocular assessment has emerged as a promising avenue for predicting and diagnosing systemic disorders. Often referred to as the "window to the soul," the human eye not only provides vital information about visual health but also offers valuable insights into the overall well-being of an individual. The eye's unique anatomical and physiological characteristics, including abundant blood vessels, a complex neural network, and transparency, make it an ideal organ for assessing systemic health. Abnormalities in the eye can serve as early indicators of underlying medical conditions, such as diabetes, hypertension, cardiovascular diseases, autoimmune disorders, and neurological diseases. These ocular manifestations can range from subtle changes in blood vessel morphology to more pronounced alterations in retinal structure and function. In recent years, researchers and clinicians have increasingly recognized the interconnectedness between ocular health and various systemic conditions.
Predictive, Preventive, and Personalised Medicine: From Bench to Bedside
This volume presents advanced bio/medical sciences with a particular value for translating research achievements into daily medical practice in the framework of Predictive, Preventive and Personalised Medicine (3PM/PPPM). First two decades of the 21st century are characterised by epidemics of non-communicable diseases such as many hundreds of millions of patients diagnosed with cardiovascular diseases and the type 2 diabetes mellitus, breast, lung, liver and prostate malignancies, neurological, sleep, mood and eye disorders, amongst others. Consequent socio-economic burden is tremendous. Unprecedented decrease in age of maladaptive individuals has been reported. The absolute majority of expanding non-communicable disorders carry a chronic character, over a couple of years progressing from reversible suboptimal health conditions to irreversible severe pathologies and cascading collateral complications. The paradigm change from reactive to predictive preventive and personalised medicine is essential to promote population health by application of individualised patient profiling, multi-parametric analysis leading to cost-effective targeted prevention. To this end, inadequate data for risk assessment on speed and urgency of COVID-19, combined with increased globalization of human society, led to the rapid spread of COVID-19. Despite an abundance of digital methods that could be used in slowing or stopping this virus and future pandemics, the world remains unprepared, and lessons have not been learned from previous cases of pandemics. The book presents PPPM strategies which might be of great clinical utility for future pandemics. In a long-term way, a significantly improved healthcare economy is one of the clear benefits of the proposed paradigm shift; a tight collaboration between all stakeholders including scientific community, healthcare providers, patient organisations, policy-makers and educators is analysed for the smooth implementation of the 3PM concepts. Further issues linked to big data management and medical ethics have to be carefully treated in the context of application of artificial intelligence in medicine.
IoT and AI-Enabled Healthcare Solutions and Intelligent Disease Prediction
The book presents fundamental to advanced concepts of AI and IoT in healthcare and disease prediction, demonstrating the emerging mechanisms, including machine learning, deep learning, image sensing, and explainable AI models to handle issues in healthcare industries with real-life scenarios. Included chapters are contributed by experienced professionals and academicians who examine severe diseases, applications, models, tools, frameworks, case studies, applications, and best practices in Healthcare. This book integrates the medical domain with AI technology. It covers trending explainable AI, computer vision (CV), and IoT that facilitate automation for healthcare solutions and medical diagnostics. The primary focus on explainable AI uncovers the black box of deep learning and bridges the distance between medical professionals and technologists. IoT in Healthcare: provides a mechanism of image sensing and is helpful in surgical tools.