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- ARTIFICIAL INTELLIGENCE

New AI tool predicts whether aggressive small cell lung cancer will respond to treatment

Results of a new study conclude that a pathology tool powered by artificial intelligence can predict whether a patient with extensive-stage small cell lung cancer will respond to platinum-based chemotherapy—before treatment has begun, and without additional biopsies. That means patients can avoid treatments that are unlikely to help them, have a chance to enroll earlier in clinical trials of newer drugs, and may get a clearer picture of their prognosis.

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AI-powered portable eye scanner expands access to low-cost community screening

Imagine being able to assess how healthy the front of our eyes are not only in hospitals, but also in remote eye-screening camps, elderly-care facilities, pharmacies, or even train stations. That is the future a research team led by Professor Toru Nakazawa at the Graduate School of Medicine, Tohoku University is working toward with a newly developed portable AI-powered scanning slit-light device. This convenient device hopes to make ophthalmic care more accessible, so patients can be assessed any place and any time. The findings are published in Scientific Reports.

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AI-guided robot navigates thrombectomy route from leg to brain

Researchers at King’s College London have shown for the first time that AI can autonomously perform thrombectomy navigation in a physical lab setting, a step toward expanding access to life-saving stroke treatment. For their study, now published in IEEE Robotics and Automation Letters, the team developed a robotic system that uses AI to navigate the complex pathway through blood vessels from the leg to the brain during mechanical thrombectomy (MT).

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AI model can predict chemotherapy benefit in breast cancer

Researchers from the Technion—Israel Institute of Technology, together with collaborators from leading medical centers in the United States and Europe, have developed an artificial intelligence (AI) model that predicts both the risk of breast cancer recurrence and the likelihood that a patient will benefit from chemotherapy.

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