The Future of Artificial Intelligence in Medicine | Comidor

The Future of Artificial Intelligence in Medicine

The Future of Artificial Intelligence in Medicine 789 526 Comidor Low-code Automation Platform

Although Artificial Intelligence (AI) has been around for years, it’s only now that we can see  AI is being applied across so many industries. From education and logistics to transportation and banking – AI plays an important role in the daily operations of the people and machines involved. And, it has a specifically important spot in the healthcare industry. Artificial Intelligence in medicine is creating a data-driven environment for improvement, innovation, and growth. The applications of AI in medicine have surpassed simple appointment scheduling and basic diagnosis. Today, these applications reach much further. 

In fact, Artificial Intelligence in medicine is flourishing, with innovative technologies and applications being introduced constantly. The article below provides a window into the future of AI in medicine and covers the latest trends that are being introduced and embraced. 

Automated Administration 

Let’s start from scratch and explain how AI will help change physicians’ daily tasks and take a huge load of work off their backs. 

Physicians suffer from burnout and fatigue more often than not, and one of the main reasons is excessive bureaucracy. Too much administration work leaves them less time to focus on the patients and leads to poor judgment and mistakes. 

Automated Administration - AI in medicineThat means that with artificial intelligence, we can expect in the future: 

  • more quality doctor-patient time 
  • less data entry and more face-to-face interaction with the patients 
  • improved relationships and trust between doctors and patients 

AI will help automate tasks such as collecting patient data, storing it properly, protecting it, and managing it in any other way. Automated administration is the future all physicians are looking forward to. 

Advanced Diagnostics

Diagnosing a disease is one of the basic skills that doctors and healthcare workers need to master. It’s also the first and most important step in the process of treating patients and helping them get better. 

It’s no wonder then, that AI is being applied in this specific area to make this process faster and more precise. So, what is AI bringing to diagnostics and how is it improving it? 

Advanced Diagnostics - AI in medicineSimply, AI uses advanced algorithms and a rich database to draw logical conclusions and make accurate assumptions. This is why AI tools are able to: 

According to the Southern Medical Association, AI is now able to “imagine alternate realities and consider would a symptom be present if it was a different disease”. That gives AI the advantage over doctors since it comprises all the available data, experiences, and figures to come up with the most accurate diagnosis as quickly as possible 

This gives doctors a huge advantage over the patient’s case and enables them to act immediately.   

Healthcare Availability 

Not only is AI helping doctors diagnose diseases and helping patients as soon as they check in, but it also makes healthcare more available across the globe. 

With such advanced and intelligent systems, specialists don’t have to travel to remote areas and provide medical assistance. Instead, doctors who are already available in these areas can use AI tools to improve their own efficiency, preciseness, and diagnostics. 

Healthcare Availability - AI in medicineThis means that in the future, AI tools will: 

  • spread healthcare to remote areas 
  • reduce the gap between specialists and average medical institutions 

This empowers the entire medical system of low-key areas and gives the average people a chance for a better healthcare system they can still afford. 

Improved Logistics 

The future of medicine is bright when it comes to AI in logistics. AI needs to be integrated into the medical systems to allow for this massive change to happen. This would create a joined database of healthcare institutions and patients, providing everyone involved with the most accurate and useful information they need at a given moment. 

Improved Logistics - AI in medicine Here are just some of the predictions for this specific application of AI in medical logistics: 

  • physicians can quickly decide which tests to run or what treatment plan to choose to achieve the best results 
  • patients use AI tools to determine which healthcare facility to go to, predict the time they’ll spend waiting, or learn about the best available doctors nearby 
  • better overall organization within institutions when it comes to patient transportation, treatment, admissions, and recovery plans 

With improved logistics, the medical system will operate faster and deliver far better results than what we have today. 

Reduced Human Errors 

Everyone makes mistakes and so do physicians. Misdiagnosis or improper treatment plans can happen due to a number of reasons. These include a lack of available information, tools that aren’t accurate enough, or simply the fact that the human eye cannot catch everything. 

AI is there to step in and help. 

Reduced Human Errors - AI in medicineWe can already see AI being used by oncologists to reduce false-negative mammograms, detect cancer at the earliest stages and reduce the cost of clinical trials that are necessary for new better patient care. 

Final Thoughts 

The future of AI in medicine is exciting and promising. Innovation and technical improvements are inevitable. We’re already seeing apps, software, and tools that are changing the medical system as we know it.  

The predictions and trends we’ve listed above are just a glimpse of the benefits AI brings to medicine.

Author’s Bio
Jessica Fender is an app developer and tech blogger. She covers topics related to AI, software, and app development, as well as their application in business. She also reports on the latest trends and hottest predictions in the tech sphere. If anyone is interested in contributing by writing essays, dissertations, or doing any type of research, provides samples of such written work. You can use it for guidance before you start writing.

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