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Influence of AI in Medical Sector

Published on 17 January 18

Artificial Intelligence has come a long way down in every feasible domain. It has proved to be a boon for most of the industries by redesigning them in order to unveil their true potential. One of the most prominent spaces making best use of AI is Healthcare. Artificial Intelligence in healthcare is a great idea and it can help in improving communication between patients and healthcare professionals, providing better diagnosis. Here, AI can be implemented to store large amounts of data, process it and translate it into useful information with the help of tools. The capabilities of AI in medical and healthcare are vast, however.

Influence of AI in Medical Sector - Image 1

Here are some of the applications of Artificial Intelligence in Medical Industry:

Better Medical Diagnosis: Artificial Intelligence uses algorithms that can assist doctors in diagnosing effectively. It can help in scanning and checking patient’s history; thus, automatically learning from classifying patterns in the data. AI based system can also trim out the irrelevant data which helps the doctors to focus more on the important data only. In addition to this, some diseases require immediate diagnosis, which can also be done with the help of AI algorithms.

Human Diagnosis Project is a medical organisation that has designed an AI-based app that analyses and filters advices from several medical specialists into an overall ranking of the most likely diagnoses. It also implements Machine Learning to build the best information by gathering data from best doctors across the world.

Henceforth, AI applies various algorithms to churn out better results that helps in giving better diagnosis.

Predicting Risk: Some of the Machine Learning algorithms that are already being used in the medical and healthcare sector are Random Forest, Logistic Regression, Gradient Boosting and Neural Networks. Since data is mostly stored in electronic media, AI makes use of these algorithmic programs to search for patterns and then build their own internal guidelines. Lately, neural networks have proved to be best among all these algorithms and facilitate accuracy in predictive analysis with the help of Data Science.

So, AI uses self-learn patterns to predict patient’s future risk of having a disease or a stroke, which is, for now, is an impossibility for human paramedics.

Drug Discovery: Composing new drugs takes years of research, which means lot of time and money is consumed in the process. But what could be better than having a system that could automate drug discovery. Yes, you read it right. With automation, you can automate the process of discovering drug that reduces the cost and time as well. According to the stats, bioscience industry is getting around 10,000 publications regarding biomedical databases and journals on a daily basis across the globe. So, it is not possible for a medical professional to go through this data and analyse it. This is where AI comes to picture. It reviews billions of sentences and huge data available. This data then leads to known facts that help in generating hypothesis by scientists. Based on these hypothesis, possible drugs are discovered and tested before being released for general use.

Telemedicine: Telemedicine is not a new field, but it has had its share of cons, like inefficient patient-doctor communication, rendering services and a few more. AI-powered Telemedicine allows doctors to assist their patients who live at remote locations. It uses a remote presence robot that helps doctors in clarifying all the queries they have from the patients. AI assistants provide online care & assist patients to add their data more frequently via online medical records etc.

Hence, healthcare looks the most promising field that could be disrupted by AI and a massive impact can be created by employing AI in this field. It can completely change the way patient care is being delivered globally. Not only medical field, AI can take paramedics as well, to a whole new level by providing assistance on various front such as supply chain, route optimization, emergency and more.

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This blog is listed under Development & Implementations and Data & Information Management Community

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