I just need this to be shortened to about 300 words. No need to do any additional research. Doing a presentation on the Application of AI in Healthcare. This is meant to just be an overview of what will be covered by others. Please shortened this as much as possible to around 300 words so I can orally present this:
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Artificial intelligence is having an impact on most aspects of modern life, from entertainment, commerce, and healthcare. Netflix knows which video content people prefer to watch, Amazon knows which items people like to buy when, and Google knows which symptoms and conditions people are searching for. All this data can be used for very detailed personal profiling, which may be of great value for behavioral understanding and targeting but also has the potential for predicting healthcare trends. There is great optimism that the application of artificial intelligence (AI) can provide substantial improvements in all areas of healthcare from diagnostics to treatment. There is already a large amount of evidence that AI algorithms are performing better than humans in various tasks, such as in analyzing medical images or correlating symptoms and biomarkers from electronic medical records (EMRs) with the characterization and prognosis of the disease.
The healthcare ecosystem is realizing the importance of AI-powered tools in the next-generation healthcare technology. It is believed that AI can bring improvements to any process within healthcare operation and delivery. For instance, the cost savings that AI can bring to the healthcare system is an important driver for the implementation of AI applications. It is estimated that AI applications can cut annual US healthcare costs by USD 150 billion in 2026.
There have been a great number of technological advances within the field of AI and data science in the past decade. A perfect combination of increased computer processing speed, larger data collection data libraries, and a large AI talent pool has enabled the rapid development of AI tools and technology, also within healthcare. In particular, the development of deep learning (DL) has had an impact on the way we look at AI tools today and is the reason for much of the recent excitement surrounding AI applications. DL allows finding correlations that were too complex to render using previous machine learning algorithms. This is largely based on artificial neural networks and compared with earlier neural networks, which only had 3–5 layers of connections, DL networks have more than 10 layers.
Many data and computation-based technologies have followed exponential growth trajectories. The most known example is that of Moore’s law, which explains the exponential growth in the performance of computer chips. Many consumer-oriented apps have experienced similar exponential growth by offering affordable services. In healthcare, the digitization of medical data could result in a similar growth pattern as genetic sequencing and profiling become cheaper and electronic health records and the like serve as a platform for data collection.
Today, AI has many uses in healthcare such as patient care, imaging and diagnostic, management, and research and development (as shown in the graph). Using AI, healthcare providers can analyze and interpret the available patient data more precisely for early diagnosis, prevention, and better treatment. Today, it is possible to say whether a person has the chance to get cancer from a selfie using computer vision and machine learning to detect increased bilirubin levels in a person’s sclera.
Ranging from clinical to non-clinical applications, AI is applied in healthcare to deliver personalized experiences, and automate repetitive and expensive health care operations. These functions have the potential to augment the work of both operational and clinical staff in decision-making, reduce the time spent in administrative tasks, and allow humans to focus on more challenging, interesting, and impactful management and clinical work.
The current pandemic overwhelmed health systems and exposed limitations in delivering care and health care costs. The pandemic opened the market for digital technologies such as AI to solve problems. It highlighted the importance of AI in key aspects such as efficiency, risk management, and customer experience.
It is generally believed that AI tools will facilitate and enhance human work and not replace the work of physicians and other healthcare staff as such. AI is ready to support healthcare personnel with a variety of tasks from administrative workflow to clinical documentation as well as specialized support such as image analysis and patient monitoring
In the next sections, my team will discuss how AI has changed in healthcare over the past few decades, provide detailed applications in healthcare, strengths, and weaknesses, and synthesize the future outlook of AI.