Machine Learning in Pediatrics

The field of artificial intelligence (AI) has the potential to drastically alter healthcare delivery and medical practice. AI is a potent and innovative branch of computer science. This review paper discusses the potential future path of AI-augmented healthcare systems, outlines current advancements in the field, and outlines a road map for developing efficient, dependable, and safe AI systems.

The “quadruple aim” of healthcare, which is to improve population health, patient and caregiver experiences, and lower the ever-increasing cost of care, presents formidable difficulties to healthcare systems around the globe.1-3 Governments, payers, regulators, and providers are under pressure to innovate and change healthcare delivery models due to the aging population, increased prevalence of chronic diseases, and rising healthcare expenditures worldwide. Furthermore, in a setting suddenly made more difficult by the worldwide pandemic, healthcare systems must “perform”—that is, provide efficient, high-quality treatment—and “transform” care at scale by incorporating data-driven insights from the real world into patient care.

What is a biomedical service?

These businesses provide medical equipment upkeep, repairs, servicing, and lifetime inspections. In addition to selling and leasing medical equipment, biomedical maintenance services may also be able to assist an organization with long-term device procurement strategy.

The aim of fundamental biomedical research is to gain insights into the pathogenic and pathophysiological mechanisms that cause disease by providing a thorough and detailed understanding of the mechanisms underlying human development and normal function as well as those of other living organisms.

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  2. Large medical data sets
  3. Randomized controlled studies
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