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Artificial intelligence within healthcare – What is common knowledge thus far

The healthcare domain is witnessing considerable growth with regards to virtual reality, 3D printing, and artificial intelligence. 

The healthcare domain is evolving each day, ranging from best practices to tech advancements. The domain is observing exponential expansion and increased proliferation with regards to virtual reality, 3D printing, and artificial intelligence. These progressions are providing healthcare practitioners the utilities to furnish next-level care to their clients. However, with all of this progression, artificial intelligence is being ushered in and questioned.  

Probably the two largest icons in their respective domains, Mark “The Zuck” Zuckerberg and Elon Musk, imparted their perspectives and views on Artificial Intelligence. 

“With AI, especially, I’m really optimistic. In the next five to 10 years, AI is going to deliver so many improvements in the quality of our lives” – Mark Zuckerberg, CEO of Facebook 

Musk, gave his differing viewpoint: 

“AI is the biggest existential threat’ we face, he stated, and a fundamental risk to the existence of civilization.” – Elon Musk, CEO of Tesla 

But, going by specialists from Becker’s Hospital Review, “The hospitals and health systems that are seeking to optimize their AI efforts are concentrated on finding resolutions to burdens and optimization of data merges. Hospitals are harnessing Artificial Intelligence to unburden the physician and the caregivers, therefore saving time, saving monetary resources. Secondly, beginning to merge clinical and financial information together in massive amounts displays how AI assists in delivering relevant data to the several differing stakeholders to better inform care, which causes better informed documentation, which leads to improved quality care and eventually relevant reimbursement.” 

Current technologies are revolutionary. Particularly when the progressions pave the way for sophisticated new screening strategies and proactive care prospects for clients. However, now new tech reaches the top of the leaderboard without progressing over some obstacles during its development and trial era. 

What works? 

  • AI helps healthcare professionals with ongoing screenings and processes like cardiac care, precision medicine, and proactive care to get on top of prospective challenges. 
  • AI will persist in delivering improved patient care via customized treatment plans and advanced medication administration tools. It will additionally assist facilitating drug development. 
  • The preliminary AI-driven diagnosis of images was authorized by the FDA in October 2018. Observed the appreciating adoption and transparency with AI models, escalated usage of personal genomic data, and the leveraging of sophisticated analytics to find solutions to public health issues like the opioid crisis. 
  • Hospitals harness AI to evaluate known cancer patients. One of the more recent articles by Fortune details how future healthcare professionals hope to have screened an adequate number of people to unveil new biomarkers that can assist in forecasting cancer prior to development. 

Where is help required? 

  • Persuading the C-suite to attempt an evaluation deployment of a new or probably overhyped tech. 
  • Maintaining an efficient and analysed electronic database to ensure numbers are accurate and there is no overlap. Without precise numbers, a doctor could potentially diagnose a patient wrong. 

AI’s proliferation within healthcare is noteworthy, the technology is gaining traction, and could prospectively drive better health outcomes in the not too distant future. The opportunities and avenues for AI with the healthcare domain includes the prospect to revolutionize research, trials, and clinical practise itself. 

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