AI in action: Accurate and speedy
How can AI help? Let’s discuss a participant’s experience with AI. The patient is a Latino man in his 50s. Tomás recently had an endoscopy because he’s had persistent diarrhea. He was worried about the time it would take to get his results and being able to find a solution to his symptoms.
It turns out that an AI-based solution, the Constellation Platform, was used to very rapidly scan his (and others’) endoscopy video recordings to pinpoint issues and compare results against specific criteria for a trial. Tomás quickly got the news about a trial that could be a great match for him and his condition. After further rapid online and on-phone qualification, education, and guidance, Tomás knew 1) if the trial was right for him, 2) what to expect, and 3) if he wanted to proceed.
So the bottom line? The whole process of determining Tomás’ condition and finding a path toward a solution was greatly sped up—a day or two instead of weeks or months—saving Tomás time and worry.
The whole process of determining Tomás’ condition and finding a path toward a solution was greatly sped up—a day or two instead of weeks or months—saving Tomás time and worry.
AI also has helped find candidates for cancer trials. The National Cancer Institute sponsored the development of an AI-powered system, called Deep Learning Clinical Trial Matching System (DLCTMS) for finding qualified candidates. It begins by digitizing inclusion and exclusion criteria and associated biomarkers. It takes a look at possible “stucks” when it comes to enrollment and pulls applicable patient data. This data can then be used to take patients through more extensive screening for trials.
The good news? It’s helped more patients get into more life-saving trials more quickly. In the first six months, this technology connected patients to 111+ studies. And it had a success rate of 90%! Since then, it’s very quickly connected qualified patients to another 213 trials.
In both of these examples, AI:
- Speeds up identification of participants who can definitely benefit from participation in a trial
- Engages participants quickly so their wait for answers is days, not weeks or months
- Opens up trials to a broader group of participants—many of whom come from diverse racial and ethnic backgrounds (like Tomás).