Artificial Intelligence and robotics have transformed so many aspects of our daily lives. Its power and effects have echoed across numerous industries and fields, from sports to agriculture, business, entertainment, and engineering.
Just as all these industries have benefited greatly from AI, so has the healthcare industry. Healthcare and medicine is one of the world’s leading industries, and the advent and development of Artificial Intelligence has revolutionized it, advancing medicine in ways that didn’t seem possible a few decades ago.
According to a research by Techjury, AI has improved modern medicine and healthcare in a whole lot of ways, ranging from drug development to advanced surgical processes, epidemic outbreak prediction, and clinical procedures; AI has helped increase treatment success rates, while also reducing costs at the same time.
Ways AI is improving healthcare
Virtual Health Assistants (VHA)
Instead of consulting a doctor again and again, Virtual Health Assistants give you medical advice and prescriptions on the go. Instead of a visit to the hospital, VHA enables you to have real-time conversations with virtual doctors who give advice and prescriptions on minor medical conditions.
The functions of VHA don’t stop there. It has a wide range of functions, including reminding you of doctor’s appointments, suggesting diet plans for different medical conditions, storing vital medical records, and helping keep dementia patients as well as patients of other severe medical conditions on track in terms of treatment.
According to statistics, hospital errors are one of the leading causes of patient death in the U.S. Approximately 440,000 Americans die yearly due to human errors in diagnosis or medical records. This issue is easily fixed by Artificial Intelligence.
Artificial Intelligence is capable of organizing medical records and patient diagnosis far more effectively than a human would. There are also machines that administer diagnosis, treatments and drugs at hospitals, as well as bots to aid doctors during intensive surgery.
Drug Discovery and Development
The medical field owes a lot of its advancement in recent years to Artificial Intelligence, and now Machine Learning is being used in drug discovery. AI solutions are being used to develop potential remedies and cures from vast databases of existing medicines to target viruses and diseases such as the Ebola virus.
Developing drugs through normal means, clinical trial, is highly time-consuming and costs billions of dollars. Replacing some of the human discovery and research process with AI is faster, cheaper, and safer. It also improves the efficiency of drug development, accelerating the entire process of bringing drugs to the market.
The latest boom in the healthcare industry is the use of blockchain technology and its integration with AI achievements. By now, you are probably aware that blockchain is usually described as a digital, decentralized ledger used for safely storing data of various sorts. What’s more, blockchain networks are usually much more challenging to hack or abuse than traditional storage systems.
Speaking of healthcare and AI, blockchain has already found several practical uses. First of all, it’s used for storing patients’ records in a safe way.
Secondly, thanks to AI and Internet-of-Things (IoT) technology, it is now possible for patients to receive automated alerts about their medications, therapy requirements, etc. Furthermore, IoT-powered devices can even order new drug supplies automatically, without even asking the patient.
Last but not least, because of its decentralized and tamper-proof features, blockchain can enable patients to safely share their records for further medical research, and even get paid (in cryptos) for doing so.
It’s safe to say that the future of the healthcare industry is safe, thanks to the input of AI. In a field that involves patients and medical data, errors are often fatal and according to stats, thousands of people die yearly due to human errors in the hospital, a problem AI fixes instantly.
Although there are still challenges in the use of AI in the medical field, AI-powered solutions and technology are quickly transforming medicine. With the entire process still in its infancy and improvements still to come, there is a bright future for AI in the healthcare industry.
Article contributed by Stefan Ateljevic.