AI usage in Predictive Analysis

During the pandemic, nearly half of supply chain leaders increased spending on innovative technologies and systems, including predictive analytics.

Predictive analytics does not only forecast future trends, allowing businesses to optimize inventory, improve delivery times, and increase sales, but also plays a vital role in improving overall healthcare services. When combined with artificial intelligence (AI), the insights gained from these advanced systems will be the key to future more accurate and timely data.

Some of the technology’s typical applications include:

Actionable Insights Through Data

Data collection is crucial but only valuable if it maps out actions. AI data analytics then helps convert those humongous piles of data into actionable insights in real time. Data accuracy is crucial in any given business, especially in the field of healthcare. The most recently collected data will prove to be most effective in healthcare specifically. All that data will help clinicians make more accurate and timely decisions.

Healthcare

Turning EHRs (Electronic health records) into an AI-driven predictive tool allows clinicians to be more effective with their workflows, medical decisions, and treatment plan. NLP (Natural Language Process) and ML (Machine Learning) can read the entire medical history of a patient in real time, and connect it with symptoms, chronic affections, or an illness that affects other members of the family. They can turn the result into a predictive analytics tool that can catch and treat a disease before it becomes life-threatening. This technology not only helps reduce clinicians’ already overworked schedules, but it also provides a means to save a person before they even know they need saving, which is nothing short of a medical miracle itself.

Conclusion 

AI’s usage in predictive analysis is most valuable. If you wish to experience other applications of AI, specifically in healthcare, you can visit Torus Engineering. As a member of the BelleTorus Ecosystem, Torus Engineering has contributed to developing a proprietary AI model for analyzing and diagnosing various skin conditions.

Our most successful models include PASI – psoriasis detection and EASI – eczema detection and diagnosis. In addition, we also developed the 1K Diseases model, which includes the detection of more than 1000 skin conditions, and many more.