-
Featured
Can AI Models Improve Diagnosis of Pancreatic Cancer?
By John Halamka and Paul Cerrato—Pancreatic cancer remains one of the most life-threatening malignancies because it is so difficult to detect in its earliest, most manageable stage. Recent developments in AI, however, suggest it may be possible to improve the diagnostic process.
By John Halamka and Paul Cerrato - A growing number of studies show that drug/gene interactions can influence how patients respond to specific medications. But there are barriers that prevent the full implementation of pharmacogenomic testing into routine clinical practice.
By John Halamka and Paul Cerrato - Concerns about algorithmic bias and poor performance of the models have made many stakeholders more cautious about using these digital tools in patient care. That’s about to change.
Mayo Clinic Platform Conference brought together leaders from government, academia, and industry to discuss the future of health care.
By John Halamka and Paul Cerrato - The daily headlines may suggest a dystopian future, but the evidence shows the world is actually becoming a healthier, safer place to live.
By John Halamka and Paul Cerrato - Cognitive errors challenge clinicians and technologists alike. Being aware of the types of mistakes that can occur is the first step toward fixing them.
By John Halamka and Paul Cerrato - The technology, which has been successful used in other industries, is slowly emerging as an innovative way to “clone” organ systems and genomic data to personalize patient care.
By John Halamka and Paul Cerrato - Measuring a long list of biomarkers with the help of wearables, lab testing, medical imaging, and genomic sequencing is the future of precision medicine. Creating these integrative personal omics profiles (iPOPs) has the potential to transform health care.
By John Halamka and Paul Cerrato - The pursuit of innovative digital tools is hollow if it ignores the core values that drive good patient care.
By John Halamka and Paul Cerrato - Software as a medical device continues to evolve with advances in machine learning. So do the federal regulations governing these digital tools.
By Paul Cerrato and John Halamka - One of the goals of our weekly blog is to explain, in plain English, how digital tools can improve patient care. This week we unravel convolutional neural networks and random forest analysis.
By John Halamka and Paul Cerrato - The evidence indicates it won’t solve this national epidemic but can serve as a valuable adjunct to professional therapy.
The agency’s draft guidelines cover a wide range of complex issues, including patients’ ability to handle remote monitoring devices and correctly record data, how to[...]