The-impact-of-Artificial-Intelligence-in-Healthcare5

The impact of Artificial Intelligence in Healthcare

By Sushmita Rai, 3EA
The impact of Artificial Intelligence in Healthcare

The hospital of the future was supposed to be supervised by robots and disembodied voices. An individual never even supposed to step foot in it, because long before they got sick, a chatbot would rise from one of your many screens to teach you through better health decision. And if in case an individual didn't listen and ended up in the hospital, another computer would diagnose you after a few tests. The main purpose of introducing Artificial intelligence in the field of healthcare is to make better decisions and guiding physicians with diagnoses rather than dictating.

AI has been applied in many industries like finances, transportation, and healthcare which is changing how the industry diagnoses and treat illnesses. AI has been used to object, face, speech and handwriting recognition; virtual reality and image processing; natural language processing, chatbots, and translation; email spam filtering, robotics, and data mining.

It has been found from the surveys that the annual worldwide AI revenue will grow to $36.8 billion by 2025.

Role of AI in Healthcare

1. Virtual Health Assistant
Virtual Health Assistants (VHA) is helping patients in a number of ways. For example, one VHA's can help vascular dementia patients stay on track with their prescribed medications by sending reminders. It gives advice on treatments for common medical conditions and also monitor patients based on data, allows the doctor to engage with patients and pharmacies to remind patients of prescriptions refills and pickups, and even recommend preventive health screenings.
2. Diagnosis
AI has been utilized to improve medical diagnosis. For example, AI aided medical image diagnosis is being used to improve reading CT scans and x-rays. Researchers have observed through surveys that an AI algorithm can be created to identify and diagnose skin cancer. This technology, using images of moles, rashes, and lesions, may someday be available as a mobile app on smartphones.
3. Healthcare Bots:
The main purpose of developing or creating healthcare bots is to increase patient's engagement. The healthcare bots, which are generally found in mobile messaging apps, can help patients quickly and in real time simply by sending a message. The latest evolved AI technology helps patients by answering their health-related questions and providing information on types of medications and recommended doses.

The basic components of artificial intelligence solutions in the healthcare fields include:

  • Heart sound analysis
  • Companion robots for the elderly
  • Mining medical records
  • Design treatment plans
  • Assist in repetitive jobs and consultations
  • Drug creation

AI Risks in Healthcare

1. Accuracy and Safety
AI has the potential to be less accurate and reliable because it is new in the healthcare field. For example: let's assume that the system has been trained to learn which pneumonic patients had a higher risk of death so that they might be given emergency treatment. So, as it accidentally classified patients with asthma as being at lower risk. In normal situations, people with pneumonia and a history of asthma go straight to intensive care and therefore get the kind treatment that considerably reduces the risk of dying. The machine learning interprets this information to mean that asthma + pneumonia= lower risk of death.
2. The risk for Doctors & Patients
Doctors cannot fully rely on AI technology because it is still in testing phase and has not been perfected yet. So, doctors and physicians would still need to make decisions based on their knowledge and expertise.

The growth of healthcare in future with AI
AI has the possibility to have a huge and positive impact on doctors and patients in healthcare. It has the capacity to produce considerably faster and more accurate diagnoses for a broader segment of the population. Patients without access to highly specialized healthcare could gain the benefit of that experience through AI. Healthcare organizations will soon adopt this technology and doctors will have to continue to use their training and experience to assure that whether the artificial intelligence is yielding the proper diagnoses and course of medical treatment.

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Article by: Sushmita Rai, 3EA