Applications of artificial intelligence in medicine
Learn about the applications and benefits of artificial intelligence in medicine as follows:
1. Diagnosis of diseases
In many cases, diagnosing the disease takes long periods or years. It is a tedious and time-consuming process, and may make it difficult to save the patient's life. It is also a process that puts doctors under pressure.
On the other hand, artificial intelligence and machine learning have helped achieve significant progress in diagnosis, as the process has become easier and less expensive.
Diagnostic methods developed by artificial intelligence include computed tomography, magnetic resonance imaging, x-ray imaging, and genomics and proteomics.
As for the advances achieved by these diagnostic methods, they are as follows:
The role of CT scan in detecting lung cancer and stroke.
The role of electrocardiogram and cardiac MRI in assessing the risk of sudden cardiac death or other heart disease risks.
The role of radiography in the classification of skin diseases.
The role of eye imaging in identifying indicators of diabetic retinopathy.
Improving the doctor's ability to write patient files and data.
It is important to note that despite these great developments, artificial intelligence will not replace the doctor in diagnosis.
2. Drug development
It is known that the process of discovering and developing drugs is a long process, requires a lot of time, and is expensive, but the application of artificial intelligence in medicine has helped to make it more efficient, through the following:
Determine the part of the body that is the target for treatment, or determine the biological origin of the disease.
Identifying candidate drugs for treatment by tracking the effect of the compounds on the targeted part of the treatment, then choosing the appropriate drug.
Accelerating the process of clinical trials, as it helps in selecting suitable candidates for studies, improving the process of monitoring the drug effect, and thus developing the drug.
Identifying vital indicators during the process of diagnosing the disease and testing the drug.
3. Improve the treatment plan
It is worth noting that patients' responses to medications and treatment plans vary based on many factors.
What artificial intelligence has brought about in this field is that it has helped determine the treatment plan for the patient based on identifying the characteristics that make the patient more responsive to a particular treatment, which helps to develop treatment plans for patients and improve therapeutic efficiency.
4. Gene modifications
Gene editing is a difficult and expensive process, but artificial intelligence has helped improve the gene editing process while ensuring minimal side effects.
Benefits of artificial intelligence in the medical field
After we have explained the fields and applications of artificial intelligence in medicine, we will now show the benefits and positives of these applications and their continued development:
It helps improve patient care by reducing research time, and giving rapid evidence of the efficacy of procedures and treatments.
Reducing the possibility of error in either diagnosing or describing the patient, this consequently improves patient safety.
Reducing costs, as a result of the benefits of artificial intelligence in diagnosis and treatment, as it helped reduce costs.
The patient may have a lot of questions outside the doctor’s working hours, but with artificial intelligence, he can get the answers through chatbots.