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New artificial intelligence tool detects often overlooked heart diseases

Physician-scientists in the Smidt Heart Institute at Cedars-Sinai have created an artificial intelligence (AI) tool that can effectively identify and distinguish between two life-threatening heart conditions that are often easy to miss: hypertrophic cardiomyopathy and cardiac amyloidosis. The new findings were published in JAMA Cardiology.

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Risks of using AI to grow our food are substantial and must not be ignored, warn researchers

Artificial intelligence (AI) is on the cusp of driving an agricultural revolution, and helping confront the challenge of feeding our growing global population in a sustainable way. But researchers warn that using new AI technologies at scale holds huge risks that are not being considered.

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Artificial intelligence tutoring outperforms expert instructors in neurosurgical training

The COVID-19 pandemic has presented both challenges and opportunities for medical training. Remote learning technology has become increasingly important in several fields. A new study finds that in a remote environment, an artificial intelligence (AI) tutoring system can outperform expert human instructors.

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Industry collaboration leads to important milestone in the creation of a quantum computer

One of the obstacles for progress in the quest for a working quantum computer has been that the working devices that go into a quantum computer and perform the actual calculations, the qubits, have hitherto been made by universities and in small numbers. But in recent years, a pan-European collaboration has been exploring everyday transistors that are present in billions in all our mobile phones for their use as qubits.

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Updated heart model takes radiotherapy outcome research to new frontiers

Improved radiotherapy techniques and technologies allow an increasing number of children diagnosed with cancer to survive long into adulthood. Unfortunately, the very treatments that save their lives are associated with several severe, life-threatening, or even fatal chronic health conditions.
For example, children who received radiation therapy are at a heightened risk of developing heart disease later in life. Further improving radiation treatments to minimize this risk requires a deep understanding of the relationship between radiation exposure and heart disease that is currently lacking. A multi-institutional team of researchers in the US has enhanced a critical computational tool to enable new insights into this relationship.

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