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AI/ML has impacted and effectively disrupted the medical industry and there are numerous promising applications of AI and ML in healthcare.
FREMONT, CA: The medical sector is among many industries with immense potential to leverage artificial intelligence (AI) and machine learning (ML). The integration of these two technologies in healthcare will result in significant innovations. There are numerous promising applications of AI and ML in healthcare.
By incorporating AI/ML with a large amount of data in healthcare, the industry will experience a drastic innovative wave across the industry. As much information as the industry products, it also depends on copious amounts of data from other diverse sources. This generates a field to make use of AI/ML, as the large amounts of data create inefficiencies in the healthcare system. AI, specifically generative AI, has the potential to create safer and more efficacious medication to streamline personalised medical care.
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The Impact of AI in Healthcare and Its Future
AI was first used in healthcare in the process of diagnosis and devices in various divisions of the medical community, including pathology, radiology, and even patient monitoring. One of the first FDA-approved AI/ML devices was a computer-assisted cervical smear rescreening device, in 1995. In the 2000s, AI/ML devices evolved to include digital image captures, bedside monitoring of vital signs, analysis of cells, and predictive warnings for accidents where medical attention may be necessary.
Corporate technological companies have been involved and implementing cloud solutions into predictive modelling, wearable devices, and virtual care.
Despite all of these innovations, the applications of AI/ML are only beginning, as the potential of this technology is vast, and is only growing with innovations. For instance, consider the role AI played as a response to the COVID-19 pandemic. AI aided organisations in developing COVID-19 mRNA vaccinations at a rapid pace. Moreover, the pandemic highlighted the requirement for digital solutions in healthcare to better patient access and outcomes.
Other AI-driven Technologies that Could Transform Healthcare
Apart from ML, there are other technologies, backed by AI, that have the potential to disrupt the healthcare industry. These include cloud computing, deep learning, blockchain, and big data analytics. These have multiple use cases in clinical trials, healthcare analysis, drug development, personalised care, and tools and diagnosis.
Other Areas in Healthcare that Could Benefit from AI
Applications of AI can be virtually found in any division of the medical field. The factors to consider include the period for which it is already used, the number of use cases it has in that particular sector, and the challenges an individual might face during the implementation of new technologies in the healthcare system.
Even in divisions where the adoption of AI/ML is relatively new, the potential of AI will be closely evaluated and subsequently implemented over a period of time. Other factors would have to accompany this implementation, such as standardised benchmarks to evaluate performance, regulatory support, creating online forums to enhance collaborations, and most significantly, the proof of concept to display the benefits of implementation to healthcare professionals and patients.
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