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- ARTIFICIAL INTELLIGENCE

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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AI tool shows promise in diagnosing advanced heart failure

Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found. The study—led by investigators at Weill Cornell Medicine, Cornell Tech, Cornell Ann S. Bowers College of Computing and Information Science, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian—offers the prospect of better care for many thousands of patients who may be overlooked due to the difficulty of diagnosing their condition.

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AI-powered imaging tracks wound healing under the skin in real time

No matter the size or severity, wounds on human skin are difficult to monitor while they heal. Biopsies disrupt the wound site and are too invasive for routine, repeated monitoring, and most medical imaging devices that could do the job are large, expensive, and booked up with more pressing diagnostics. Clinicians typically resort to visual inspection or quick measurements of the wound’s size over time.

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