Chen Y, Argentinis E, and Weber G. IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research. Clinical Therapeutics 2016; 38(4): 688-701. Abstract Life sciences researchers are under pressure to innovate faster than ever. Big data offer the promise of unlock
A former teacher talks openly about coping with a debilitating disease before AI allowed her to live a full life again
Edward H. Shortliffe, MD, PhD, Martin J. Sepúlveda, MD, ScD Author’s Summary Clinicians and researchers have long envisioned the day when computers could assist with difficult decisions in complex clinical situations, thereby making computer-based decision support a dominant topic of informatics re
Some believe if healthcare providers could accurately predict when and why patients are likely to access their services, they will be able to save a substantial amount through better allocation of resources. A group of researchers from the Finnish Centre for Artificial Intelligence (AI), Aalto Unive
The Foreign Service Institute’s School of Language Studies (SLS) classified Chinese as one of its five Category IV (super-hard) languages, stating a typical native English speaker will require at least 88 weeks and 2200 class hours to be fluent. Mandarin’s tonal nature underlines its onerous; this m
What are CNNs? The current “best” algorithm for visual pattern recognition is a convolutional neural network (CNN). CNNs were developed from perceptrons, vector-mapping algorithms in turn inspired by associative learning of the brain, and the idea of “integrate and fire” neurons. Much like the first
By Nick Van Terheyden, MD Wearables are everywhere and like many technology terms the early entrants have become synonymous and part of vocabulary – Are you Fitbit enough? But in the corridors of healthcare systems and doctors’ offices there’s less excitement about the penetration of these devices a
Photo Credit: Anne-Lise Heinrichs In this digital age, the widespread use of electronic medical records (EMRs) has been transformative to the practice of medicine, and the development and use of clinical decision support tools (CDS) are growing in popularity with great potential to improve both qual
Every week, news stories are published about new technologies that have the potential to transform and reshape healthcare. But discriminating applications with real promise from hype, and knowing which products will stand the test of time to actually transform healthcare is difficult at best. A few