ai:sight > Volume 7 > AI spots it faster

AI spots it faster

In today’s tech-savvy world, AI is making waves right from making web searches easier to sort your photos. Yet, there’s a new frontier where AI is making an extraordinary impact – healthcare, and is showing us how. started as a brilliant idea: how can AI make healthcare better? It found the answers in medical imaging, like X-rays and CT scans. Today, its AI is at work in over 1,600 hospitals across 75 countries, improving lives.

Tuberculosis, or TB, is a big problem in many countries. It is a major cause of death in low and middle-income countries. But diagnosing it can be tough when there aren’t enough experts around. One of’s first customers used X-ray-equipped vans to run mobile TB screening camps across the Philippines. No radiologists could travel with the screening teams, so the chest X-rays would only be collected for interpretation when the vans returned to base. That could mean weeks of delay before some patients could start treatment.

Today, it takes under 60 seconds for AI to automatically interpret those X-rays on the spot. Patients get treatment right away, and TB screening is reaching even more places, helping 40 countries.

Lung cancer presents a unique diagnostic challenge, with approximately 85% of cases detected in the late stages. AI is changing that narrative. With 1.3 billion chest X-rays taken globally each year, the potential for early lung cancer detection is staggering. collaborated with the UK’s National Health Service and AstraZeneca, demonstrating AI’s ability to identify early-stage lung cancer nodules in X-rays, subsequently confirmed by CT scans. This breakthrough promises earlier diagnoses and improved outcomes.

These capabilities also impacted early in the COVID pandemic. With testing resources in short supply, their AI triage solution recognized abnormalities in chest X-rays, facilitating PCR testing and monitoring infection rates. It provided critical support in managing patient discharges from hospitals, showcasing the adaptability of AI in crises.

Stroke is another condition where every minute counts. Medics have two choices. If no bleeding is involved, they can give anticoagulant drugs in the emergency room to dissolve clots. They can coordinate the resources to send the patient for more complex surgery if bleeding is present. Ruling out bleeding is crucial before deciding which treatment to give, but this can take hours to do manually.’s artificial intelligence can swiftly interpret CT scans to rule out bleeding, ensuring that more stroke patients receive prompt, accurate treatment, ultimately improving their chances of full recovery.

A Glimpse into the future of AI in healthcare’s innovative approach extends beyond diagnosis. Areas they’re looking at include the early diagnosis of heart failure. A recent study has shown that recommendations from the algorithm helped identify 50 new heart failure patients from 5,000 routine chest X-rays.

They’re pioneering models’ that organizations can employ to create solutions, potentially giving medics access to AI-powered insights about medical images. Patients may even have the option to obtain AIgenerated reports alongside those from radiographers. As regulations evolve, we could witness fully automated screening processes for X-rays and blood tests, reducing the need for manual validation.

We may also see more fully automated screening processes for X-rays and blood tests, so there’s no need for a medical professional to sign off on each report. So far, regulations only allow this for TB screening, but surely other areas will follow.

Right now, though, our biggest priority is to extend our solutions to more people worldwide. We’ve already touched about 25 million patients and aim to reach a billion in the next five years. This is AI for good, transforming the path to treatment for some of our biggest public health challenges.

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Prashant Warier

Founder & CEO,

Prashant has deep expertise in AI, data science, and optimization. He joined Fractal as Chief Data Scientist in 2015 when it acquired its own AI company, which provided targeted advertising for e-commerce firms. He incubated within Fractal to apply AI healthcare, especially in interpreting images like X-rays and CT scans.

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