The advent of AI in diagnosing diseases and innovation has brought a robust improvement in the field of medical science. While there are multiple attempts to increase life expectancy around the world and find solutions to critical illnesses, the healthcare industry continues to face challenges. The growing demand for the services catalyses the need for a robust system and a strong workforce that can meet the needs of the patients. Well, there is a need to understand that increasing healthcare spending is not the ultimate solution unless there is structural change.
AI: Revolutionising Healthcare and in Diagnosing Diseases
This can be eliminated with Artificial intelligence which has the potential to revolutionise the healthcare industry as it is aimed at providing better care and improving the day-to-day life of healthcare practitioners. After decades of following the same pattern, the healthcare industry needs to adopt a more dynamic approach. A minor delay in diagnosing the disease can pose a risk to the entire population.
You may recall how thousands of people died every day due to the COVID-19 pandemic when there were no signs of the vaccine. Talking about the branch of Artificial Intelligence, it has implementation across multiple industries, and medical healthcare is no exception. AI can provide automated human support and increase the efficiency of the diagnostic process. Can AI also help with the correct diagnosis or the development of new treatments? Let us ascertain how AI is improving the growth patterns of the healthcare industry.
AI in Diagnosing Diseases at an Early Stage
Consider how a doctor would have to gather each report and look one by one to gain an understanding of the disease and the direction in which it is progressing. Although machines can never surpass analysis done by a human, but they can definitely ease the process.For instance, an AI-based health app can also help keep track of factors such as pulse rate, heartbeat, and other necessary details. It may turn out to be beneficial for both the patients and the doctors. While it can be easier for a patient to judge when they should seek their next appointment, healthcare professionals can leverage it to study any patient’s case.
Correct diagnosis of the disease can take years of medical training. In comparison, machines can provide or draw conclusions even in a fraction of a second. The only condition is that the entire set of data will have to be digitised. The algorithms cannot read between the lines but can keep track of all the patterns similar to healthcare providers. AI in diagnosing diseases improves the chances of detection of diseases at an early stage.
Revolutionising Drug Discovery
Well, you cannot deny that human bodies are complex. At times, it may take a few months to detect a new medicine to treat the disease. In other cases, it may even take years to discover the impact of medicine to successfully treat a disease. In previous times, scientists would spend a lot of time conducting manual testing. However, times have changed, and it has become easier with the help of AI. With the data and information available in one place, hypotheses can be developed. AI can provide a quicker validation of the drug target and how it will perform. The records can even help study how the drug has reacted in the past and carries the tendency to impact in the future.
All these aspects can be analysed and aided to develop new treatments for diseases. AI is well-trained to predict drug efficacy and side effects, which can be highly beneficial for scientists. The professionals may even be required to perform advanced math on large volumes of data. This can be accessed easily with the help of Artificial Intelligence. Leveraging data to make faster decisions can help discover the full potential of medical professionals.
It can help them identify new targets for intervention and how a compound will react with a target molecule. It can also help predict suitability and identify the ideal biomarkers.
We can say without any reluctance that AI can automate a large amount of manual work. It helps speed up the process and even assists in personalising the treatment according to the condition of an individual. However, it is just the beginning. Unifying the medical data and digitising everything can help find valuable patterns in which AI in diagnosing diseases can help make accurate and cost-effective decisions.