tags: AI in healthcare, healthcare, healthcare software development company, healthcare industry
Introduction
Artificial intelligence (AI) is a buzzword that has been getting a lot of attention lately. Many people are already using AI-based services daily, from Siri to Alexa and Google Now to Google Assistant. A great number of companies have jumped into this field, with some even investing large amounts of money in it. In healthcare, AI will be used to improve diagnosis and treatment by automating manual processes and developing predictive analytics tools for new products and treatments.
Artificial intelligence (AI) is going to change the telemedicine app development industry. AI will play a key role in improving healthcare delivery, facilitating data-driven decision-making, and optimizing health services. It has been predicted that AI will take over half of all human labor by 2030. The concept of AI was first introduced in 1956 by John McCarthy, an American computer scientist. Today, the field is so advanced that we can apply it to many fields, including healthcare. It involves applying the ability of computers to learn and reason in a human-like way.
Here are some of the most promising uses of AI in healthcare that you should know about.
Radiology
AI has helped improve image analysis to reduce the time required for radiologists to process images. Diagnostic Imaging: AI technology is used in diagnostic imaging systems to determine if a patient has cancer-based on their scan results. The system can also monitor the health conditions of patients by analyzing their scans.
The real future for AI is in the automated, fully supervised diagnosis of an image – with only a human reading it to confirm that it matches clinical standards. Suppose you can develop systems that read images at high speed and accuracy without any human intervention. In that case, you will be able to process more images faster and with less human oversight.
When this happens, AI can replace radiologists in some cases where the diagnosis is fully automated. As an example of what I mean by 'fully supervised,' a radiologist would need to read it manually if a patient has cancer or other conditions that are not visible in the images. But if the AI system is good enough, you could have an automated analysis of images that can be verified by a human reading them.
Patient Risk Identification
Electronic Prescribing: By monitoring real-time patient data, AI systems can prescribe medications in a more targeted manner to achieve better outcomes. The system can also warn clinicians of potential adverse events and complications.
Smart Diagnosis: With access to a patient's full medical history, AI systems can better identify patients at risk for disease or other ailments. This allows the physician to prescribe medications in a more targeted manner with greater precision.
Prescription Safety: With access to historical patient data, AI solutions can alert clinicians of possible adverse events and prevent medication errors.
Patient Compliance: AI solutions can monitor a patient's activity and adherence to prescribed medications, providing real-time support to clinicians to help ensure patient compliance.
Drug Discovery
AI the pharmaceutical industry is known for its excessive use of animal testing, but now there is an emerging trend to use AI for animal testing. The idea is that by using computer models instead of animals, companies can reduce the number of tests they need to run. While this may be true could also help to reduce the time and cost of drug discovery.
While this is all very exciting, it does come with a warning: pharma companies are not stopping at just replacing humans. The pharmaceutical industry has long been known for its excessive use of animal testing, but now there is an emerging trend to use AI for animal testing. The idea is that by using computer models instead of animals, companies can reduce the number of tests they need to run.
However, not everyone believes this new method will replace or improve the current methods used in drug discovery. Many scientists have called for further research into the effects of AI on animal testing. They are concerned that by creating a computer model based on an animal's physiology, the model's accuracy could be greatly affected.
Perhaps this will be one area where there is no room for error in future developments.
AI in healthcare market growth
According to an IDC report, the sector is set to grow from a projected $2.1 billion in 2016 to more than $20 billion by 2020.
This growth will come from the market's potential for self-learning and self-healing technologies to keep pace with the growing demand for care. Self-learning AI will lead to better patient outcomes, while self-healing AI will allow the sector to keep pace with demand without adding staff or reducing services.
Growth opportunities in healthcare are not limited to just artificial intelligence technologies either. With major strides being made in other areas of healthcare, the industry is poised for continued growth.
Self-healing technologies may be used to predict medical conditions or predict when an individual will need a certain procedure, for example. Self-learning AI could provide better diagnosis and treatment options that are tailored to each patient's unique needs.
According to CB Insights, the amount of money being invested in healthcare software development companies has been on the rise since 2015, with an average of $5.6 billion being invested each year since then. A recent TechCrunch article shows that these investments are for a variety of applications, including mobile apps, virtual and augmented reality, as well as machine learning.
The application of AI in healthcare will continue to grow over the next few years, both in the amount of money invested and its uses. In a recent article on CNBC, Suresh Naidu, the CEO of CareCloud, a technology company focused on helping hospitals in India manage their supply chains and patient care, spoke about how AI is being used to improve the quality of care.
"I think that when you look at AI, it's not about whether or not the doctor is going to do an image-guided biopsy versus a needle biopsy. It's more about taking care of patients in their homes or at home versus the hospital," Naidu said. "So I think that over time you're going to see AI-based solutions used in different areas of healthcare, but I think the biggest benefit is going to be how it makes us smarter about taking care of patients."
AI will continue to play a significant role in medical treatment over the next few years. By using artificial intelligence, hospitals and healthcare providers will provide better care and a higher quality of life for their patients.
Blog Conclusion
Artificial Intelligence is a technology that has the potential to transform healthcare. It's already being used in some parts of the industry to improve patient care and reduce costs. AI is also being used to develop new ways of diagnosing diseases and predicting how patients respond to treatment. In the future, AI could even become part of how we choose treatments for certain diseases, allowing us to make more informed decisions about our health and well-being.
Author Bio
Saurabh Sharma is a Digital Marketing Executive at Arka Softwares, a leading mobile app & web development company. He has 2 years of experience in the Information Technology industry. He spends his time reading about new trends in Digital Marketing and the latest app development technologies.
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