Shorter time spent waiting for an appointment. Early recovery. Consistent quality of care is delivered whether in a large or small hospital, in a major city, or in the countryside. Not in 10 or 5 years. Thanks to artificial intelligence, we can make this vision a reality.
With AI, we can detect, for example, lung cancer at its very beginning. In this case, the patient's chance of surviving the first year is more than 87 %. In the fourth stage, it is less than 19 % (1). Without the use of artificial intelligence in practice, a doctor's ability to distinguish the findings of lung cancer in the early stages from an X-ray, when the tumor is still very small, is very limited, in most cases, virtually impossible (2).
By detecting possible findings early and accurately, doctors can start treating you on time and, more importantly, correctly. You can then quickly return to work, spend time with your family or pursue your hobbies.
Artificial intelligence is a tool, just like an X-ray or a stethoscope. It will help them to deliver the best performance consistently.
Using visual maps will alert the doctor to possible findings on the image, and it is up to doctors to confirm them. It will help them better manage the ever-increasing number of examinations they have to evaluate. With direct implementation into the systems they usually use, they don't need to open any additional programs or applications.
Artificial intelligence is not here to replace them. It's a trusted partner they can rely on. The doctor will always be the one making the diagnosis.
Patients waiting to be checked, complex diagnosis, consultation with other doctors. Nothing affects the throughput of hospital wards like the speed of individual examinations.
Artificial intelligence can reduce the time it takes to get a diagnosis from an image by up to 10%. It gives doctors a tool to prioritize patients as well as receive an instant second opinion. This will allow the doctor to focus on more complex cases.
The result? Reduced wait times for consultations and faster clearance of waiting patients.
The number of radiology examinations is constantly increasing, but the number of doctors remains almost the same. The number of scans will increase with the introduction of preventive screening programs. Artificial intelligence will be a sought-after partner in every hospital. Thanks to it, the doctor will be able to manage the number of examinations with sufficient quality. And that will reflect in the quality of care your hospital provides.
Preventive and personalized care should be the goal of every healthcare system. Early detection of diseases helps doctors to save lives and the system to save money. This can be used, for example, to modernize healthcare further.
If a patient's tumor is caught early, they have a better chance of recovery. Treating cancer at the first stage is also several times cheaper than subsequent treatment in its later stages. Late treatment can make it impossible for an economically active person to work for a long time - until he or she has fully recovered or lost his or her life.
A healthy person can be economically active for most of his or her life. For this to be the case, we need early and correct diagnosis of patients and, above all, to focus on the prevention of their health. However, the number of economically active people is constantly decreasing due to the aging population. This results in lower contributions to health insurance and increased costs for the treatment of those who need it.
Artificial intelligence can help combat these problems effectively. It extends the moral life of equipment, and there is no need to buy new ones immediately to improve the quality of care. Above all, it improves the chances of doctors diagnosing patients early and correctly and helps them to become economically active members of society again. This in itself reduces the costs associated with treatment.
