Artificial Intelligence (AI) in Healthcare

Artificial Intelligence or AI with reference to healthcare systems means calculating and predicting the human condition using various software and algorithms, removing the need for human interaction. The goal for AI in healthcare is mostly to prevent and treat various conditions while keeping track of the patient’s response. There are various AI programs that have been created to tackles these problems and have also been applied to developing treatment protocol, personalized drug administrations and patient monitoring and care.

Impact on Healthcare

It is predicted that artificial intelligence will transform healthcare further as it changes the relationship between human beings and technology. There is a lot of opportunity for AI to employ more efficient and less harmful ways to treat diseases and conditions that range from chronic illnesses to addictions. This means that not only will AI be able to treat people better, but it will also be able to do it in a timely fashion, minimizing expenditures in the long haul. The World Medical Innovation Forum (WMIF) spoke on the potential of AI to revolutionize healthcare and showcased a number of ways in which it could make a major impact.

1. Direct Interfaces

Even though computers have been used for communication for a long time now, creating direct interfaces with the human mind for medical purposes is a fairly recent idea. This will remove all need for wires and electronics which will have a positive impact on patients. Currently, data on neurological trauma suggests that patients who have long since lost the ability to perform basic functions can now regain it via brain-computer interfaces (BCIs).

2. Radiology Tools

The current equipment utilized for taking radiological images include MRI machines, X-rays and CT scanners that tend to have a debilitating effect on the body because of radiation. Moreover, there are many other procedures that depend on extracting samples from the human body, which are not only invasive and painful but expensive and risky as well. These procedures include biopsies and extraction of human tissue. With new radiology tools, the need for extraction in many cases is predicted to be none.

3. Access in Underdeveloped Countries

Most of the world’s best doctors work in urban hubs of developed nations, so access to proper treatment in underdeveloped regions is very limited. With AI, the need for having practitioners in these regions can be reduced as machines perform the functions normally done by doctors. For example, when using AI to administer C-rays or CT scans, the results are significantly better, and this function can be performed with a single touch of a finger on an app.

4. Antibiotic Resistance

The overuse of antibiotic medicine is increasing resistance all over the world. This is a major threat to the heath of many, especially now that we know of multidrug-resistant organisms. By utilizing electronic health records, these organisms can be studied and their patterns recorded. This can also highlight at-risk patients and provide them with the necessary treatment in time. Moreover, the use of AI in this way will make the process of accessing and understanding data much more efficient to minimize time spent on diagnosis and maximize it for treatment.

5. Intelligence in Medical Devices and Machines

Introducing AI in medical appliances that detect the onset of contamination, collapse or even the development of a complication will substantially increase the chances of saving a patient’s life. It will also reduce the expenditures of hospitals related to their condition penalties. Here, the role of intelligent algorithms can reduce the burden on physicians as well.