Artificial Intelligence (AI) in Medicine and Modern Healthcare Systems
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Abstract
The modern healthcare landscape involves collection, processing and analysis of large volumes of data, related to medicines, patient records, treatment paradigms, medical reports, immunization, and various other attributes. These data points need to be handled precisely and efficiently, as they lead to critical health decisions. The role of emerging technologies like AI, ML, Deep Learning, IoT and Robotics is gaining importance in handling such data using various algorithms. Each of these algorithms has a large number of applications in the healthcare domain, including decision on appropriate treatment journeys, analysis of medical reports, making informed clinical decisions, assistance in operational tasks at hospitals, tracking of vital signs, detection of diseases at an early stage and so on. Usage of such technologies introduces a level of automation in these medical procedures. Data can be accessed and analysed accurately and quickly. This also gives more time to health care professionals for patient care. However, it should be ensured that human supervision is maintained, so as to avoid any unexpected risk to patients. Also, human interaction and empathy is necessary for a patient's well-being and thus, not all medical processes should be performed by machines alone.