Category: Artificial Intelligence

Sharing who we are, what we think, how we feel, etc. is human nature. We want to be connected with others. We are curious to learn from them, from simple information to what it means to be human. Today, social media platforms like Facebook have exploded the number of people with whom an individual can keep reading

By analyzing thousands of known proteins and their physical shapes, a neural network can learn to predict the shapes of others.[i] Imagine you are a biologist who has spent your career devoted to a puzzle that could change the future of medicine—yet reaching your deathbed without the answer? Perhaps, as you breathe your last, you keep reading

Considering ever-developing advances in computational power and availability of large data sets, the marriage of humans and machines in future clinical practice seems inevitable. Therefore, regardless of their feelings, the radiologists should be familiar with these concepts.[i] A seemingly unquenchable thirst for efficient, highly accurate and patient-friendly imaging drives the ongoing integration of Artificial Intelligence keep reading

These days, it’s more important than even to protect your personal privacy and keep your information secure. Every day, we hear about identity theft, hackers, cybercrime, and security breaches. Just the thought of a thief or cyberattack penetrating not only our individual virus protection, firewalls, etc. but also those of our banking security or credit keep reading

Roughly 1 out of 8 women will be diagnosed with invasive breast cancer (BCa). Screening mammograms are able to detect very early lesions before symptoms, such as a palpable lump, occur. Early detection facilitates a diagnosis during a period when the probability of treatment success is highest. Standard 2D mammograms are the most used method keep reading

“Physicians are valued for being brilliant diagnosticians and they now have more information and tools and technology at their disposal than ever before; yet patients don’t feel cared for, and doctors don’t feel like they can care for patients enough.”[i] Abraham Verghese, MD is hardly a household name, but among many doctors he is something keep reading

“…when clinical data are used to provide care, the primary purpose for acquiring the data is fulfilled. At that point, clinical data should be treated as a form of public good, to be used for the benefit of future patients.” From Mar. 2029 Radiological Society of North America’s Special Report[i] How much does your privacy keep reading

The most obvious risk is that AI systems will sometimes be wrong, and that patient injury or other health-care problems may result.[i] There are many levels in which Artificial Intelligence (AI) is already serving the field of medicine, but two of them involve direct impact on patients: enhance patient information available to doctors (e.g. diagnosis, keep reading

From deep learning algorithms that can read CT scans faster than humans to natural language processing (NLP) that can comb through unstructured data in electronic health records (EHRs), the applications for AI in healthcare seem endless.[i] Endless application implies endless possibilities for Artificial Intelligence (AI) in medicine and healthcare. Sounds terrific! So, what’s the downside? keep reading

AI applications are entering clinics at a rapid rate, and physicians have met the technology with equal parts excitement about its potential to reduce their workload and fear about losing their jobs to machines.[i]   Who’s afraid of the big bad computer? Apparently, some radiologists—and even medical students contemplating entering that field—are fearful of being keep reading