The impact of artificial intelligence is already being felt in just about every industry out there. This highly adaptable and powerful tech...
The impact of artificial intelligence is already being felt in just about every industry out there. This highly adaptable and powerful technology is changing the world. Here are five uses for artificial intelligence aka AI in healthcare specifically, and why these advancements are so important.
The next phase is the introduction of AI-supported surgeries. Recent work at Digital Survey has exemplified the potential of this technology by developing AI specifically for operating room scenarios—meant to “reduce risk and make surgery safer” by aiding human surgical teams with procedural roadmaps.
AI is unique in the way it can analyze large amount of data in a relatively small amount of time. What would take a human incalculable hour to analyze manually can be accomplished by AI in a matter of minutes. We have a lot of data on illnesses and treatments. What we don’t have is the ability to parse through all that data by hand, or the ability to instantly visualize patterns hidden in that data.
Data analytics represents another opportunity to harness artificial intelligence in healthcare—it can help researchers and clinicians understand more about how illnesses happen and which patient groups are most vulnerable. Thanks to platforms like ThoughtSpot, even people in the healthcare industry without a technical data background can use AI to analyze data on a regular basis.
Think about how many processes and workflows are happening simultaneously at any given hospital. Every doctor, nurse, and administrator have a set way they go about doing their job, day in and day out. But what if there’s something inefficient about one of those processes? AI can help identify bottlenecks and redundancies, which can in turn improve workflows. This makes the jobs of healthcare professionals better and, ultimately, can drive better patient outcomes.
While doctors aren’t perfect, integrating AI with the diagnostic process can make their work far more accurate. Instead of having to rely only on the chart of the patient and the doctor’s personal knowledge, AI can tap into the collective knowledge of all patients and diagnoses. This can help diagnose issues that otherwise might have gone completely overlooked. Having the power of AI working on the diagnostic end of healthcare can help people understand their illness sooner, which can allow them to pursue treatment in a timely manner.
Artificial intelligence can identify ways to develop new drugs for specific purposes. But it can even go further than that. With AI, it’s much easier for researchers to find alternatives uses for drugs that already exist. This is a common practice that can often lead to highly effective usages.
It’s no secret AI is going to be a big part of our future. There are vast applications for this technology in the world of healthcare, where it can quite literally save lives.
Top 5 Best Uses for Artificial Intelligence (AI) in Healthcare
1. Certain Surgical Procedures
In the past, it would have sounded like science fiction for robots, machine learning or artificial intelligence to have any place in the operating room. Well, the first half of that—science—is true. Robotics are now a pretty commonplace occurrence in many hospitals around the globe. These can help with precision in operations that require extremely fine maneuvers.The next phase is the introduction of AI-supported surgeries. Recent work at Digital Survey has exemplified the potential of this technology by developing AI specifically for operating room scenarios—meant to “reduce risk and make surgery safer” by aiding human surgical teams with procedural roadmaps.
2. Identifying Illness Patterns
There’s a lot we don’t know about the human body. There’s even more we don’t know about the diseases and bugs that exist in the world, and how they affect us. Artificial intelligence has the ability to turn a lot of that on its head.AI is unique in the way it can analyze large amount of data in a relatively small amount of time. What would take a human incalculable hour to analyze manually can be accomplished by AI in a matter of minutes. We have a lot of data on illnesses and treatments. What we don’t have is the ability to parse through all that data by hand, or the ability to instantly visualize patterns hidden in that data.
Data analytics represents another opportunity to harness artificial intelligence in healthcare—it can help researchers and clinicians understand more about how illnesses happen and which patient groups are most vulnerable. Thanks to platforms like ThoughtSpot, even people in the healthcare industry without a technical data background can use AI to analyze data on a regular basis.
3. Optimized Workflows
Not everything in the healthcare world is about solving world-altering problems. The vast majority of what happens in healthcare is routine and sticking to protocol. But that doesn’t mean it can’t be drastically improved.Think about how many processes and workflows are happening simultaneously at any given hospital. Every doctor, nurse, and administrator have a set way they go about doing their job, day in and day out. But what if there’s something inefficient about one of those processes? AI can help identify bottlenecks and redundancies, which can in turn improve workflows. This makes the jobs of healthcare professionals better and, ultimately, can drive better patient outcomes.
4. Better Diagnosis
Diagnosing illness is one of the most critical parts of providing effective healthcare. But it’s not always possible to get a diagnosis right the first time. Sometimes, what seems like one thing, can actually be something completely different.While doctors aren’t perfect, integrating AI with the diagnostic process can make their work far more accurate. Instead of having to rely only on the chart of the patient and the doctor’s personal knowledge, AI can tap into the collective knowledge of all patients and diagnoses. This can help diagnose issues that otherwise might have gone completely overlooked. Having the power of AI working on the diagnostic end of healthcare can help people understand their illness sooner, which can allow them to pursue treatment in a timely manner.
5. Developing Medicines
We’re in a constant battle to keep up with the illnesses of the world. Having the best possible medicines is an important part of helping people recover from their ailments. While pharmacologists are highly knowledgeable people who have created many amazing medicines, they can do far more with AI working in their corner.Artificial intelligence can identify ways to develop new drugs for specific purposes. But it can even go further than that. With AI, it’s much easier for researchers to find alternatives uses for drugs that already exist. This is a common practice that can often lead to highly effective usages.
It’s no secret AI is going to be a big part of our future. There are vast applications for this technology in the world of healthcare, where it can quite literally save lives.
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