The Use of AI in Medicine: Getting to Know the Facts
AI can analyse large amounts of data stored by health organisations in the form of images, as well as clinical research trials and medical claims. They can identify patterns and insights which are usually undetectable by manual human skill sets. They can help out with radiology by automating image analysis of radiology reports so radiologists can spend more time reading and less time interpreting images.
Medicine is defined in many ways. It is known as taking pills, taking rest, etc. Of course, the idea of medicine is far more vast than some pills, and medicine can be quite difficult sometimes. However, with the world evolving and different types of AI being created, medicine is becoming much easier and helps a lot in the medical world.
Uses of AI in the medical field
The meaning of "medical world", health organisations, people in the medical field, and various forms of technology used in medicine are included. For almost every one of these, AI has a purpose. For example, AI can analyse large amounts of data stored by health organisations in the form of images, as well as clinical research trials and medical claims. They can also identify patterns and insights which are usually undetectable by manual human skill sets. They can help out with radiology by automating image analysis of radiology reports so radiologists can spend more time reading and less time interpreting images. They can provide an automated diagnosis of diabetic retinopathy so ophthalmologists can focus on treating vision loss instead of looking at eye scans all day long as well.
The period of time between the 911 call and the arrival of the ambulance is critical for recovery from a sudden heart attack. Emergency dispatchers must be able to identify the signs of cardiac arrest in order to take the necessary action and increase the patient's probability of life. AI is capable of analysing verbal and nonverbal cues to make a diagnosis remotely. The AI tool, Corti, supports emergency medical personnel. Corti informs emergency personnel if it detects a heart attack by listening to the caller's voice, noise in the background, and relevant data from the patient's medical history. Corti, like other ML systems, does not look for specific signals; instead, it trains by listening to a large number of calls in order to identify important elements.
AI has also been successfully utilised to hasten the discovery and development of new medical treatments. Modified molecular phenotypes, such as protein binding, favour genetic disorders. Predicting these changes entails estimating the risk that genetic diseases may manifest. Data on all discovered substances and biomarkers pertinent to specific clinical trials is gathered in order to achieve this.
AI has been proven to increase the effectiveness of medical processes. This is a very important aspect of the medical field since it ensures the welfare of the patient. Compared to humans, AI can be more efficient in tasks such as surgeries, diagnosing, and much more. With the introduction of AI in the medical field, many procedures can now be performed more effectively.
AI plays an important role in the field of medicine. One of the best examples of this is the Medical Chatbox. Medical chatbots are coded to provide patients with an easy gateway to find the appropriate information about insurance services. The Chat-Box can also be used to answer medical questions about diseases and their symptoms to provide patients with accurate information.
However, the most beneficial use of AI in the medical field is when it comes to improving patient care outcomes or reducing operational costs for hospitals, health systems, and many more.
Advances in the medical field
In 2019, the Department of Veterans Affairs and DeepMind Health created an AI tool that can predict acute kidney injury (AKI) up to 48 hours in advance. The tool was able to identify more than 90% of acute AKI cases 48 hours earlier than traditional care methods. It’s used in healthcare to discover links between genetic codes, power surgical robots and maximise hospital efficiency.
As a result, AI has made significant advances over the last few years, transforming health and medicine on every level—from diagnosing disease to predicting outcomes for patients undergoing surgery and delivering precision medicine based on individual differences in genetics and lifestyle habits to predicting which drugs might be most effective for a particular patient population at any given time, as well as helping doctors better understand how these drugs work so they can make better-informed treatment decisions for their patients as quickly as possible—to the point where artificial intelligence can diagnose pneumonia and cancer faster than physicians can.
Conclusion
AI is a great asset to the medical world and can help people a lot in times of desperation. Even though there are a few cracks in the system, they can be easily patched as the pros outweigh the cons. What’s more, AI will continue to evolve, resulting in great things for the medical world.
References
https://www.mobihealthnews.com/news/contributed-top-10-use-cases-ai-healthcare
https://builtin.com/artificial-intelligence/artificial-intelligence-healthcare
Author Information:
Mohamed Laman Hameed - Ghaazee school, Maldives.
Ismail Mailak Mukhthar - Jamaluddin School, Maldives.
Aishath Amna - Rehendhi School, Maldives.
Moosa Haasin Yasir - G.DH Atoll Education Centre, Maldives.
Asiyath Shaj'aa Shafeeq - Jamaluddin School, Maldives.
Cite this article as:
Mohamed Laman Hameed, Ismail Mailak Mukhthar, Aishath Amna, Moosa Haasin Yasir and Asiyath Shaj'aa Shafeeq, The Use of AI in Medicine: Getting to Know the Fact, theCircle Composition, Volume 3, (2022). thecirclecomposition.org/the-use-of-ai-in-medicine-getting-to-know-the-facts/