Transforming Lung Cancer Outcomes: How University Hospitals Are Leveraging Artificial Intelligence for Better Patient Care

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Transforming Lung Cancer Outcomes: How University Hospitals Are Leveraging Artificial Intelligence for Better Patient Care

CLEVELAND, Ohio — Lung cancer causes more deaths in the U.S. than breast, colon, and prostate cancers combined. One major challenge is that most cases are only detected in advanced stages—three or four. By then, symptoms like coughing, chest pain, or blood in sputum typically show up, and survival rates drop to single digits.

Experts at University Hospitals are researching how artificial intelligence (AI) can help identify lung cancer much earlier. “It’s like finding a needle in a haystack,” says Dr. Samir Shah, Chief Medical Officer at Qure.ai. Early-stage nodules are particularly tough for radiologists to see.

Dr. Amit Gupta, a radiologist involved in the study, emphasizes that AI could reveal hidden nodules. On busy days, even trained professionals might overlook them. Qure.ai acts like an extra set of eyes for radiologists, aiming to focus on those elusive signs of cancer.

The AI’s algorithm was developed using data from nearly nine years of studying tuberculosis X-rays. This extensive analysis involved over five million images, enhancing the AI’s understanding of what constitutes a nodule. Dr. Shah believes this technology could significantly improve early lung cancer detection, potentially catching it in stages one or two. This could elevate survival rates to between 60% and 70%.

“When lung cancer is small and hasn’t spread, it can often be removed, leading to a better outcome for patients,” Dr. Shah points out. The goal is uniform among those in oncology and thoracic surgery: to detect cancer early and save lives.

Interestingly, as AI improves detection in lung cancer, it also has potential applications in other challenging areas, such as breast cancer. The University Hospitals team plans to collect data over the next 9 to 10 months. If successful, they could implement this technology in about a year.

Recent surveys indicate that awareness about lung cancer detection is growing. Many people now recognize the importance of early diagnosis, thanks in part to social media campaigns that highlight survival stories. This cultural shift could motivate more people to seek preventative care.

AI in healthcare is an exciting frontier. Experts believe it can revolutionize cancer detection and improve overall patient care. As technology advances, we might see significant shifts in how we approach previously hard-to-detect illnesses.

For more on the role of AI in healthcare, check out this report from the American Cancer Society.



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