Melinda Taschetta-Millane, Editorial Director
Melinda Taschetta-Millane, Editorial Director
Blog | Melinda Taschetta-Millane, Editorial Director | Artificial Intelligence | September 04, 2019

When Change is Constant

AI may have a substantial effect on the practice of medicine, so much so that it transforms the role of radiologists

Image by Gerd Altmann from Pixabay 

Radiology’s history dates back to 1895 when Wilhelm Roentgen discovered X-rays. The very first image taken was of his wife’s hand; the “x” originally stood for “unknown.” So much was unknown back then, yet this was the impetus that would startthe evolution of change.

Quickly, progress and developing technology ensued. From George Eastman introducing radiographic film in 1918, to William Nelson Beck inventing ultrasound while conducting an experiment with a scanner in 1957, to Godfrey Hounsfield creating the prototype for the CT scanner in 1968, and the list goes on and on.

Fast-forward to today.

Artificial intelligence (AI) is, by true definition, artificial. We know that it can’t take the place of people, but it can help radiologists more accurately get the information they need, and augment patient care. “This is about making life easier for the radiologist and staff, it’s not replacing anybody,” said Sham Sokka, VP and head of radiology solutions for Philips Healthcare, in an itnTV interview.

Scientists at Dana-Farber Cancer Institute recently demonstrated that an AI tool can perform as well as human reviewers — and much more rapidly — in extracting clinical information regarding changes in tumors from unstructured radiology reports for patients with lung cancer. In fact, the AI tool performed comparably to trained human curators in detecting the presence of cancer, and whether it was responding to treatment interventions, stable or worsening.

Researchers compared human and computer measurements of outcomes such as disease-free survival, progression-free survival, and time to improvement or response, and found that the AI algorithm could replicate human assessment of these outcomes. The deep learning algorithms were then applied to annotate another 15,000 reports for 1,294 patients whose records had not been manually reviewed. The authors found that computer outcome measurements among these patients predicted survival with similar accuracy to human assessments among the manually reviewed patients.

But this is just one example of how AI has interwoven itself into the world of radiology. AI has the potential to have a substantial effect on the practice of medicine, and even transform the role of the radiologist by automating routine and time-consuming practices. And with this time savings, physicians have more time to interact with patients.

AI may have a substantial effect on the practice of medicine, so much so that it transforms the role of radiologists. The technology has the potential to make the practice of medicine faster by automating routine and time-consuming practices. However, the overarching promise of AI is to provide more time for physicians to interact with patients. Let’s keep this momentum of change rolling.

Related content:

From Evolution to Revolution

Technological Improvements in Radiation Therapy

New Cancer Tool Identifies Cancer Outcomes By Using Radiology Reports

Related Content

Lung and respiratory health pioneer paves way for more precise care of complex respiratory conditions
News | Artificial Intelligence | September 25, 2020
September 25, 2020 — VIDA Diagnostics, Inc. announced that it has received 510(k) clearance from the Food and Drug Ad
EchoGo Pro automates cardiac ultrasound measurements for heart functions, but also empower physicians to predict the occurrence of coronary artery disease (CAD).

EchoGo Pro automates cardiac ultrasound measurements for heart functions, but also empower physicians to predict the occurrence of coronary artery disease (CAD).

News | Cardiovascular Ultrasound | September 25, 2020
September 25, 2020 — Based on its recent analysis of the global...
RADLogics AI-Powered solution in use: chest X-ray of COVID-19 positive case with heatmap key image.

RADLogics AI-Powered solution in use: chest X-ray of COVID-19 positive case with heatmap key image.

News | Artificial Intelligence | September 23, 2020
September 23, 2020 — RADLogics
The cartilage in this MRI scan of a knee is colorized to show greater contrast between shades of gray.

The cartilage in this MRI scan of a knee is colorized to show greater contrast between shades of gray. Image courtesy of Kundu et al. (2020) PNAS

News | Artificial Intelligence | September 22, 2020
September 22, 2020 — Researchers at the University of Pitts...
New research from King's College London has found that COVID-19 may be diagnosed on the same emergency scans intended to diagnose stroke.

Canon Medical Systems

News | Cardiac Imaging | September 22, 2020
September 22, 2020 — New research from King's College London has
Philips Azurion Lung Edition supports high precision diagnosis and minimally invasive therapy in one room
News | Lung Imaging | September 21, 2020
September 21, 2020 — Philips introduced...
According to a new report published by P&S Intelligence, the global radiotherapy market is expected to expand from $7.2M in 2019 to $17M by 2030.

Image courtesy of Accuray

Feature | Radiation Therapy | September 21, 2020 | By Melinda Taschetta-Millane
According to a...