It can be definitely stated that artificial intelligence (AI) is currently one of the most influential trends in healthcare and its development promises new approaches to patient treatment and diagnostics, as well as optimization of the administrative work.

Data from the last five years shows the internet trend for ‘AI and Healthcare’ has risen by over 531% which Indeed, depicts the widespread interest of this technology in the healthcare industry. Organizations like Your. MD are at the spearhead of this revolution availing important information that would save people’s lives through platforms that are driven by artificial intelligence.

In my view one of the most profound effects that has been realised from the adoption of AI in the healthcare sector is the improvement of the diagnostic capability of the systems. Using such factors as patient records, imagery scans, and genomics data, neural networks can detect loci and aberrations that can be missed by practitioners.

This capability is quite significant in areas such as radiology where AI enhanced image analysis might be employed to look for the initial symptoms of ailments including cancer or cardiovascular disorders. Many firms like the Aidoc Medical are coming up with the AI tools that help the radiologist for quicker and accurate diagnosis of the visual variants in the CT scans or any other medical imaging.

AI is also being used in advanced ways of improving the patients’ experiences through individualized treatment. AI solutions will be able to move away from the usual general medical diagnosis and treatment plans for the disease and come up with specific treatment plans based on the patients’ individual characteristics and genetics. The approach is called precision medicine, and it should help to increase the effectiveness, as well as minimize the negative impact of therapy.

In the same token, artificial intelligence enabled chatbots and virtual assistants are being adopted in a number of health facilities to help the patient gain quick access to information and basic health advice which helps to lighten the load of health facilities while actively engaging the patient.

AI in drug discovery: Machines keep scientists on the fast track to finding new treatments. With an ability to mimic the molecular bonding and the potency of the drug, the AI algorithms can easily cut down the ample amount of time and money spent to getting the new drug to reach the market. This is something that can rapidly transform the pharmaceutical industry to match its speed to deliver treatments to patients.

Given that such applications of AI are likely to become increasingly mainstream in healthcare settings, it is important to weigh the ethical concerns linked with them and guarantee openness of these technologies to all. The issue of privacy, integrity of data and prejudicial use of algorithms are others which are very sensitive and needs to taken into consideration.

Further, there is a necessity to discuss continuously with technology makers, care providers, and patients to make sure the AI solution gains its responsible development and use in practice to improve patients’ lives significantly.

Summing up, it is possible to state that the potential of AI in healthcare is rather bright in future. It can only be expected that with continued investment and research, the day will come when such changes will revolutionise patient care and results. AI is poised to respond to many of the current problems in healthcare systems from identification of diseases at an early stage, treatment options that caters for an individual patient, and even the availability of health care.

That is why it is gobbling that with the advancement of the new technologies, particularly artificial intelligence, the role in the development of the future medicine will be even more determinant.