Artificial intelligence is buzzing around the world. It is bringing a paradigm shift to various industries, powered by the increasing availability of data, and rapid progress of analytics techniques. The healthcare industry is no exception for this development to resolve complex issues.
It has been predicted that by 2026, the AI systems are going to transform this industry for the betterment of the healthcare system- from streamlining medical processes and administrative processes, managing long-term activities to decentralize the proprietary information of the firm.
With a combined expected value of $150bn, artificial intelligence illustrates massive and significant opportunities for growth in the healthcare sector. Below shared are some of the most common benefits of incorporating AI in the healthcare industry:
- Detection of Fraud
- Preliminary Diagnosis
- Virtual Assistants
- Connected and Automotive Machines
- Robot-Assisted Surgery
- Automated Image Diagnosis
- Administrative Workflow
With the onset of COVID-19, the healthcare industry has been attacked a lot. Ensuring proper access to health services is the foundation of successful health response. So, artificial intelligence is helping a lot to fit the gap between the scarcity of resources and manpower.
That’s why, every stakeholder working in medical research or clinical trials is questing to develop reliable, robust, and potent instruments and products to diagnose the real problem and treat patients effectively. Well, these stakeholders consist of technology companies like Google Artificial Intelligence, service vendors, health professionals, and frontline workers.
Artificial Intelligence in Healthcare
Well, there is no denying the fact that healthcare has been in a worse condition with the explosion of COVID-19 targeting health facilities to the stigmatization of health care workers. However, the introduction of AI in healthcare can help to transform the current situation into a better future. After all, this technology is programmed to mimic human cognition and execute certain activities in an automated way at a fraction of the time and cost.
How artificial intelligence in the healthcare industry works
Well, to be more simple, data is injected or programmed into the systems to mimic the action of health workers in order to complete certain activities. Whenever the data is injected into the form of algorithms machine-learning languages, delivering outcomes and reports would be as accurate. However, for many people, this concept is still unclear?
Don’t worry, we have summarized some important benefits of incorporating artificial intelligence and how it can transform the industry to reap maximum benefits without any human intervention.
Machine learning is one of the most important forms of artificial intelligence in the healthcare industry. It will help health workers to predict what type of treatment and procedures need to be adopted to achieve good results for the patients. For this type of technology, data plays a pertinent role. Industries using machine learning and precision medicines demand data in order to train the system to yield the desired outcomes. In fact, health workers can use this technology in the form of natural language processing for speech recognition.
Natural Language Processing
Honestly, mimicking human activities in the healthcare industry is not a challenging task, as making sense of human languages in the form of NLP. Artificial intelligence is working on speech recognition programs to understand and classify clinical documentation. In fact, it is also working on analyzing the unstructured clinical notes, improving diagnosis methods, providing incredible insights and better results for the patients.
There is a robust connection between surgery and artificial intelligence to help people from curing deadly diseases. The introduction of AI in the surgery is acting as an extra pair of eyes, or hands for the frontline workers. This technology helps doctors to identify anomalies in medical pictures, and reduces the number of missed diagnoses, helping to save lives. With artificial intelligence, doctors are now able to develop 3D images of the human body offering surgeons more accurate pictures and references before performing surgery.
Identification of Predictive Patient Risk
And last but not least, artificial intelligence can also help doctors and nurses to identify the patient risk for specific diseases by algorithmic analysis of the history of patient data. As we all know that doctors are so busy helping people cure deadly diseases, the development of robots and assistants can help them organize systematic patient records to avoid any chaos. In fact, it will also help clinics to reduce time and money for manual drudgery of procedures.
By embracing an innovative handful of tools and systems, we can help our healthcare system to produce efficient results. Honestly, this technology will usher in a new era of healthcare facilities and promising breakthroughs in inpatient care.
- Artificial intelligence will foster the results when analyzing diagnostic images and patients with critical conditions.
- Machine Learning and artificial intelligence will open up new avenues for developing products and treatments at a cost-efficient rate within the constrained time frame.
- NLP and deep learning help doctors diagnose specific diseases more quickly and accurately.
- Robots can play an important role to cope with the COVId-19 situation reducing the physical risk.