Artificial intelligence is humanity’s best friend because it makes our lives easier. Work, leisure, and now we can also use it for AI Diagnostics & healthcare.
AI diagnostics in healthcare: a step from the impossible to the tangible
Previously we thought it was 100% impossible to make medical diagnoses using a technology or AI tool. These ideas were reserved for science fiction movies, but today in 2023, they became a reality. It is possible to make diagnoses with artificial intelligence. And not only that, AI has brought a lot to the healthcare industry. Here’s how.
How AI diagnostics began
People began to talk of an artificial brain or artificial intelligence in 1956, on the campus of Dartmouth College.
There, the Artificial Intelligence Society was founded, which took the first steps towards this technology that would change how we live.
However, during the first decades, there were no significant advances. It was in 1983 that essential steps in AI development began to emerge again.
We remember
☑️ IBM’s Deep Blue, the first computer to beat a chess champion.
☑️ In 2011, Watson, the computer giant’s question-answering system, won the Jeopardy contest.
☑️ And most interestingly, in the last decade, artificial intelligence has been used to process medical images in radiology, radiation oncology, and ophthalmology, among other fields. The goal is that AI can make diagnoses that are not even detectable by the human eye.
Why AI Contributes to Medical Diagnosis
Artificial intelligence has the ability to analyze large amounts of data in a short time and in detail, surpassing human capabilities in this activity.
This is the main advantage and why it is a 100% AI tool for medical diagnostics.
Key Benefits of AI in Diagnostics
More accessible health care and diagnostics:
Everyone can use artificial intelligence worldwide through the internet or an app. This allows more people to access this service and enjoy it without the need to travel to a nearby medical center.
Streamlines decision-making for specialists
AI processes and analyzes information faster and generates results in less time, and specialists can streamline their diagnostic processes with AI.
The branch that has used artificial intelligence the most to speed up diagnoses is fundus imaging and images such as X-rays.
Artificial intelligence in diagnostics reduces process inefficiencies in healthcare industry
Medical and diagnostic activities have tedious and complex administrative processes that 10 years behind only humans were doing.
With AI, professionals can focus only on value-adding activities while the intelligent tool takes care of all tedious, time-consuming, or repetitive back-office tasks.
Improve the diagnostic capacity of doctors and health specialists
The big challenge for the healthcare industry is the amount of data generated even when diagnosing a single person.
AI has the potential to offer healthcare professionals the ability to accelerate and improve their diagnostic capabilities by helping them extract clinically relevant information from the vast amount of data available.
AI for diagnostics in healthcare enables early-stage disease discovery with greater accuracy
Recently an AI algorithm integrated CT scan findings with clinical symptoms of COVID, plus information from exposure history and laboratory tests. The tool had the same performance in identifying patients with COVID-19 as an expert thoracic radiologist and eventually outperformed the professional in early detection of the disease, using reverse transcription-polymerase chain reaction (RT-PCR) with normal CT findings in the early stage of COVID-19.
In this way, patients can start their treatment faster and have better prognoses for overcoming the diseases.
AI improves image recognition
AI processes a large amount of data with the best techniques, accuracy, and workflow.
AI can analyze a large number of medical images and identify patterns quickly and regularly, including variations that humans cannot.
Currently, artificial intelligence algorithms have been used for diagnostics in oncology and cardiology, gastroenterology or hepatology, neurology, and ophthalmology.
AI assists with decision-making when time is critical or in remote, underfunded medical centers
In accidents or very remote medical centers, fast and effective diagnostic tools can make the difference between the patient’s life and death.
Healthcare professionals are in short supply for the entire world’s population, so having tools that make the job easier and operate worldwide is a way to reach more people.
AI for diagnostics in the healthcare industry is highly beneficial, so much so that we could list benefits by the hour.
A recent report by Accenture estimates that, by 2026, AI applications that streamline the administrative workflow of healthcare organizations could lead to annual cost savings of $18 billion in the United States alone.
AI Diagnostics by Championsys
AI Diagnostics is an Artificial Intelligence software with neural networks that allow computers from a determined database to learn by analyzing information. It was developed by our Data & AI Studio.
AI Diagnostics can generate diagnostic suspicions and eventual predictions in an intelligent and independent way, which allows them to perform complementary tasks performed by human intelligence.
This AI tool has been applied in ophthalmology and fundus.
The design of AI DIAGNOSTICS is responsive, so it’s adaptable in its appearance, allowing the professional to access the software from a phone, a tablet, a notebook, or a desktop PC.
The best: Validated by ophthalmologists in its development, it seeks to facilitate its use by the professional in their workspace.
AI for diagnostics is a breakthrough that can improve the quality of life of millions of people around the world, so we keep on working on our AI DIAGNOSTICS tool, and taking it to every nook and cranny. Contact us if you want to know more about it.
