Feature | Artificial Intelligence | October 09, 2019 | By Sharmistha Sarkar

AI in Medicine: On the Way to Growth

As the role of artificial intelligence continues to expand, many companies are making significant investments in this technology to offer solutions

As the role of artificial intelligence continues to expand, many companies are making significant investments in this technology to offer solutions
Sharmistha Sarkar

Sharmistha Sarkar

Artificial intelligence (AI) is a technology that can replicate human cognitive functions. Like in other fields, it is bringing a rapid transformation in healthcare due to the huge influx of healthcare data, advancements in analytics techniques, and innovation in clinical research and big data analytics. Currently, AI tools are being used in the diagnosis, treatment and predicting outcome in many medical areas such as cancer, neurology and cardiology. They find application in risk modeling of diseases, improving diagnostic and staging investigation accuracy, predicting response to therapy, radiation treatment planning and more.

The role of artificial intelligence in medicine is only continuing to expand. The AI in medicine market is estimated to reach $18.1 million by 2025 from $719 million in 2017, thereby growing at a CAGR of 49.6 percent from 2018 to 2025 according to the research firm Allied Market Research.1 The factors propelling the market include a lack of skilled healthcare professionals, enhanced processing power of AI systems leading to improving the efficiency of drug discovery and management of clinical trials, growth in importance of precision medicine and rise in funding for the R&D activities of the use of AI technology in the field of medicine.

In order to bring better health outcomes for people all over the world and solve complex clinical conditions, many companies are making significant investments in AI to offer solutions in the space. For instance, Siris Medical Inc. recently unveiled its updated PlanMD 2.0 software for radiation oncologists to make better treatment decisions. Nvidia announced it plans to expand its Clara Platform to drive rapid adoption of AI in medical imaging. Intel and GE Healthcare formed a partnership to provide diagnostic alerts to patients with some medical conditions using medical imaging. Siemens Healthineers launched its software assistant for radiology called the AI-Rad Companion Chest CT at the Radiological Society of North America’s (RSNA) 2018 meeting.

New Solutions for Better Treatment Decisions

In January 2019, Siris Medical, a leader in AI in radiotherapy treatment decision support, launched its PlanMD 2.0, an updated version of the first AI-powered decision support software. The solution enables radiation oncologists to make better decisions related to treatment by making use of patient data and artificial intelligence. It allows a complete and clear view of editing contours in real time without re-optimizing or re-planning. A precise contour exploration functionality of the solution allows deeper insights into the impacts of contouring changes on a dose. Marc Nash, M.D., chief medical officer of Siris Medical and a University of California, San Francisco (UCSF)-trained, board-certified radiation oncologist said, “While the underlying prediction algorithms have performed well from the very beginning, it is only through extensive input from practicing radiation oncologists that we can truly ensure the ease of use and rapid results that busy clinicians demand. We are proud to count some of the nation’s leading cancer centers and radiation oncologists as our customers, and their feedback has helped us build an even better, easier-to-use clinical decision support tool to help physicians in their battle against cancer.”

AI-assisted Radiology

Nvidia, the computer game company, plans to accelerate the adoption of AI in medical imaging by expanding its Clara Platform. The company released its Clara Software Development Kit (SDK) that comprises a cluster of accelerated libraries, engines to perform advanced operations and can offer remote access to visualizations for patients. The vendor is collaborating with several companies in the healthcare space including medical imaging companies, research centers, startups and more. Besides their expanded offerings in radiology software, Nvidia also inked two deals with the aim of driving the adoption of AI technology in the field.

Solutions Using Medical Imaging

In January 2019, Intel and GE Healthcare formed an alliance to launch a new AI tool to provide physicians with automated diagnostic alerts for some conditions almost immediately after medical imaging is performed. The new solution makes use of the Intel Distribution of OpenVINO toolkit to help accelerate and smoothen patient care. With the tool, X-ray technologists, critical care teams and radiologists are quickly notified to review critical findings that may speed up diagnosis of patients.

Radiology Software

Siemens Healthineers’ AI-Rad Companion Chest CT makes use of CT images of the chest to differentiate between several parts in that body area. It then highlights them and assesses abnormalities in the lungs, heart, aorta and coronary arteries. Featuring specialized algorithms trained by Siemens scientists on extensive clinical datasets, the new solution converts its findings into structured, reproducible and quantitative reports and allows radiologists to get quicker insights into images through automation. The algorithms that the software is built with offer segmentation, measurement and highlighting to support quantitative and qualitative analysis.

Sharmistha Sarkar has always had a keen interest in reading and writing. Though an engineering graduate, she forayed into the field of writing due to her love for words and the urge to do something different. Allied Market Research has given her the chance to gain knowledge about different subjects as a senior content writer.

Reference

1.     Artificial Intelligence in Medicine Market, https://www.alliedmarketresearch.com/artificial-intelligence-in-medicine-market. Accessed Aug. 26, 2019.

Related Content

While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology IT vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with internet connection and pull images from radiology and surgery.

While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology information system vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with an internet connection and able to pull in images from both radiology and surgery. 

Feature | Enterprise Imaging | October 17, 2019 | Steve Holloway
October 17, 2019 — The growing influence and uptake of electronic medical records (EMRs) in healthcare has driven deb
USF Health Expands Digisonics System With Vascular Reporting
News | Cardiac PACS | October 17, 2019
University of South Florida (USF) Health in Tampa, Fla., has enhanced their use of the Digisonics Cardiovascular...
Sectra Adds DePuy Synthes 3-D Templates to Pre-Operative Orthopedic Solution
News | Orthopedic Imaging | October 17, 2019
International medical imaging information technology (IT) and cybersecurity company Sectra is extending its pre-...
Intelerad's nuage Patient Portal

Intelerad's nuage Patient Portal. Image courtesy of Intelerad.

News | Enterprise Imaging | October 17, 2019
Intelerad Medical Systems announced that OneWelbeck, a London operator of specialist facilities for minimally-invasive...
Carestream's Focus 35C digital radiography (DR) detector

The Focus 35C detector. Image courtesy of Carestream

News | Digital Radiography (DR) | October 17, 2019
At the 2019 annual meeting of the Radiological Society of North America (RSNA), Dec. 1-6 in Chicago, Carestream will...
An illustration of radiology department analytics data showing GE Healthcare’s business analytics software.

An illustration of radiology department analytics data showing GE Healthcare’s business analytics software.

Feature | Radiology Business | October 17, 2019 | By April Wilson
According to IBM, the world creates 2.5 quintillion bytes of data daily.
GE Healthcare and Theragnostics Partnering on PSMA PET/CT Imaging Agent
News | Prostate Cancer | October 16, 2019
GE Healthcare and Theragnostics have entered into a global commercial partnership for a new prostate-specific membrane...
Guerbet Signs Agreement With Icometrix for Exclusive Distribution of Icobrain
News | Neuro Imaging | October 16, 2019
Guerbet announced it has signed an exclusive agreement with Icometrix for the distribution in France, Italy and Brazil...
Subtle Medical Receives FDA 510(k) Clearance for AI-powered SubtleMR
Technology | Artificial Intelligence | October 16, 2019
Subtle Medical announced 510(k) clearance from the U.S. Food and Drug Administration (FDA) to market SubtleMR. SubtleMR...