AI in healthcare has finally reached a tipping point and become mainstream. AI-focused healthcare start-ups raised $984 million in the first quarter of 2020 during the COVID-19 pandemic.
Over the past decade, AI technology has drawn a lot of attention from healthcare organizations, investors, and media. AI-focused healthcare start-ups raised $984 million in the first quarter of 2020 during the COVID-19 pandemic. AI in healthcare has finally reached a tipping point and become mainstream.
Healthcare AI Use Cases
AI-powered predictive analytics are a game-changer when it comes to managing diseases and improving patient outcomes. Tremendous amounts of data can be analyzed using AI technology to better predict outcomes for patients. Some of the most cutting-edge applications aid in predicting hospital-acquired infections and detecting patients at risk of unplanned ICU transfers or readmissions, and can thereby help in lowering these rates. AI also gives organizations the ability to target the right interventions for patients and avoid side effects. It also enables healthcare providers to get a deeper understanding of patient health, epidemiology, and disease evolution.
Better Interpretation Of Diagnostic Images
AI tools can also help reconstruct, label, and de-identify images so they’re ready for data sharing. The reduction of manual labor in these once arduous tasks allows organizations to more quickly identify cardiovascular abnormalities, detect bone fractures and injuries, and accelerate the diagnosis of neurological diseases.
Accelerated Drug Repurposing
AI enables pharmaceutical companies to mine data to learn about drug side effects and interactions. Those clues can then be used to accelerate the speed-to-market for active pharmaceutical ingredients into marketed drugs. AI also allows for in-silico marketing, adverse event-matching, and gene-regulation mining. AI technology can reduce R&D costs significantly and increase the opportunities for ingredients to be used in multiple products.
Improved Recruitment For Clinical Trials
AI also allows pharmaceutical and medical device companies to mine real-time patient information to predict the feasibility of clinical trials and patient recruitment outcomes. For instance, organizations are using AI-powered platforms that automatically match qualified patients with appropriate clinical research opportunities. The use of AI in trial recruitment purposes improves the accuracy and quality of insights, increases patient adherence to clinical trial requirements, and overall trial retention as well.
As AI continues to evolve, so will the opportunities for applications within healthcare. It’s a revolution that’s already under way, and tomorrow’s industry leaders will be those that invest smartly in the technology today.