Artificial Intelligence (AI) can be defined as the imitation of human intelligence that can be processed by machines . Expert systems, voice recognition Software, machine vision, and natural language processing (NLP) all comes under the category of Artificial Intelligence. Healthcare industry involves NLP applications that can be able to understand and classify clinical documentation. Analysis of unstructured clinical notes on patients providing unbelievable vision into understanding quality, improving methods and unbelievable better results for patients.
Uses of AI in Healthcare industry
- AI can be able to analyze and identify patterns from very large amount of data stored in the form of images, medical claims, clinical research trials by healthcare industry and provide vision that are undetected manually by human skill sets. AI algorithm helps in identifying and label data patterns whereas NLP allows these algorithms to segregate relevant data. Detection of relevant data help in producing an accurate report which can be used in diagnostic decision process.
- Supercomputers can be used to predict from databases of molecular structure and provide the potential medicine for various diseases. With the help of AtomNet Technology based on Convolutional Neural Network (CNN) able to predict the binding of small molecule to protein by analyzing multiple protein structure and identify safe and effective drug with reduce cost of developing medicine.
- As we are aware of that health data and medical records are stored as complex unstructured data which can be difficult to interpret and access. AI can be able to search, collect, store and standardize medical data irrespective of format, help in repetitive task and supporting clinicians with fast, accurate, customized treatment plans and medicines to the patients.
- AI algorithms are able to recognize new drug applications, outlining their toxic prospective as well as their mechanism of actions which led to the foundation of drug finding platform and enables the company to reprocess the existing drugs and bioactive compounds. Identifying a new drug from the known drugs is beneficial to pharma companies with less cost .
- AI can be able to forecast kidney disease. Acute kidney injury can be difficult to detect and the cause very fast deterioration to the patient health. A user friendly platform is targeted to help in treatment decision improve the health for veterans suffering from acute kidney injury.
- AI provides valuable assistance to emergency medical staff. ML models can be able to recognize cardiac arrest call better than human senders with the help of speech recognition software and other background signs that supports emergency medical staff. In future medical line could use this technology to reply to emergency calls with automatic defibrillators fortified with drones and increase the chances of survival of the heart patients.
- NLP (Natural Language Processing) and ML can read the complete medical history of the patients at the problem solving time connect it with symptoms, chronic symptoms that affect other family members and shift the result into a predictive analytics tool that can diagnose and treat the disease before it become life-threating. So, we can say that AI in healthcare is going to assist doctors, nurses and patients health and inspiring them for faster recovery. AI will help the patients in cost dropping with its developed and better reliable diagnosis.
Neeru Saxena
Assistant Professor
School of Information Technology
