According to the International Diabetes Federation , in 2021, 53.7 million adults in the age group of (20-79) years had diabetes. Around 1.2 million children and adolescents (0-19) years have type 1 diabetes. Diabetes is a chronic condition that can lead to serious health problems like vision loss, heart disease, and kidney disease. Hence, diabetic
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Artificial Intelligence (AI) has been accelerating the life-sciences industry by making scientific breakthroughs over a few years. AI has successfully overcome significant challenges in organizing all the data systematically and using it at its potential to develop extensive healthcare information. Starting from integrating human health data and segregating clinical records to improve research. Smart technologies
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Data science techniques, including artificial intelligence (AI) and machine learning (ML), share a symbiotic relationship with healthcare and can help solve many critical healthcare challenges. Whereas data science involves drawing meaningful insights through the analysis of data, healthcare collects and generates vast amounts of data, both critical and general, to provide best possible services to
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Intelligent cloud-based electronic health record (ICEHR) was conceptualized as a system with the potential to revolutionize health care delivery. An aging population, combined with rising healthcare expenses, forced healthcare organizations and governments to seek novel, cost-effective solutions that would save money while minimizing their operational burden. Using technology such as electronic health record (EHR), not
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History Remote patient monitoring or health consultation started long back. Many of you might not be aware of this, It is first started when two physicians consulted over a telephone, probably in 18’s. 1924: A speculative cover of Radio News magazine showed the use of the radio for medical consultation. 1948: Technology advanced and one doctor sent X-ray images
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