Precision Medicine

Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
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Can AI match the performance of PI-RADS assessments?

A convolutional neural network (CNN) could assist radiologists with the detection and segmentation of suspicious findings on prostate MRI scans, according to a new study published in Radiology.

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$50M research center established to concentrate on ‘experiential’ AI

Northeastern University in Boston has announced the launch of a new research hub focused on ensuring AI systems help rather than replace humans working in healthcare, cybersecurity and sustainability.

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Pacemaker patient selection aided by AI

Machine learning can help electrophysiologists or other heart specialists decide whether a patient is a good candidate for a pacemaker or implantable cardioverter defibrillator, according to a study published Oct. 3 in PLOS One.

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Researchers team virtual reality with AI to train new surgeons

Machine learning can be combined with virtual or augmented reality to train surgery residents in sensitive spinal procedures.

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FDA grants ‘breakthrough’ designation to ultrasound AI product

Software that uses AI to make cardiac-ultrasound experts of healthcare workers with no prior ultrasound experience has received “Breakthrough Device” designation from the FDA.

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Cancer research involving AI long on predictions, short on outcomes

Worldwide, research is booming around AI applications for predicting and treating cancer with ever more precise and personalized approaches. However, a new literature review has found a shortfall of AI-inclusive studies looking at cancer outcomes and survivorship.

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Deep-learning algorithm diagnoses pneumonia in 10 seconds

If a newly tested AI system for reading chest X-rays achieves widespread adoption, patients presenting in the ER with symptoms of pneumonia can expect an up or down diagnosis—and with it the start of a treatment plan—in 10 seconds.

Algorithmic approach 90% accurate at diagnosing pediatric acute appendicitis

Researchers in Germany have developed an AI-based method for identifying pediatric acute appendicitis using biomarkers like blood and protein readings obtained in routine lab tests.