We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App




Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

By HospiMedica International staff writers
Posted on 12 Oct 2021
Print article
Illustration
Illustration

The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition that is driving AI players to zealously invest in deploying AI in radiology.

These are the latest findings of TMR Research (San Francisco, CA, USA).

AI has shown transformative potential in medical and healthcare industry. In particular, the effects of AI penetration in medical diagnostics have expanded the canvas for offering high-quality patient care. Early disease detection is one of the key applications where AI players are exploring game-changing potential and are zealously investing in deploying AI in radiology to complement conventional procedures. Image recognition is perhaps the most compelling consumer proposition in the AI in medical diagnostics market. Algorithms have been learning and unlearning and relearning signs of diseases in millions of images clinicians extract from the target population. A key trend has been outsourcing these to developing economies to save cost.

There has been a flurry of activities in deep learning algorithms to advance access to quality diagnostics and at a low cost. This can be lifesaving in the case of chronic conditions that may become fatal if not diagnosed early. Patients who are at the receiving end are those with significant cardiovascular diseases risks. Further, another factor that is driving research in AI in medical diagnostics market is the need for improving the accuracy of diagnosis, either through single or several images. The internet of medical things is making vast strides, as evident in the proliferation of AI-based apps. AI companies are keen on bridging the vast gap between demand and supply of radiologists while simultaneously reducing the cost of radiological examinations. On the whole, the key clinical proposition of AI in healthcare is the use of AI apps in the detection of diseases and advance patient-centered care.

Several recent research and development projects, including those pioneered by stalwart technology companies, show rising huge dollar inflows into the AI in medical diagnostics market such as the advent of AI-based apps that improve breast cancer detection accuracy. The prospects of AI-driven software in cancer detection present vast possibilities. Another area that holds strong prospects is the use of AI for detecting skin problems from the images of skin lesions. Such developments are expected to open up new avenues for various industry stakeholders in the AI in medical diagnostics market. Companies are also intensifying R&D efforts for leveraging the potential of AI in multiple retinal diseases.

Geographically, North America is a highly lucrative region, fuelled largely by increasing R&D in developing AI-apps for reducing the burden and prevalence of various chronic diseases. The North American market is expected to witness vast revenue streams from the efforts by players in the ecosystem to bring AI and deep learning systems from the bench to the bedside, notably in diseases that are more prevalent in countries such as the US. Asia Pacific is also a promising regional market for AI in medical diagnostics and is anticipated to make rapid strides in the near future, fueled by the growing penetration of AI in healthcare.

Related Links:
TMR Research 

Gold Member
12-Channel ECG
CM1200B
Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Glassware Washer
Tiva 10-1VL

Print article

Channels

Critical Care

view channel
Image: This study is significant as it addresses a treatment approach that has not been extensively studied before (Photo courtesy of 123RF)

Study Confirms Safety of DCB-Only Strategy for Treating De Novo Left Main Coronary Artery Disease

There has been a lack of extensive research on the use of drug-coated balloon (DCB)-only strategy for the treatment of de novo left main coronary artery disease, especially in high bleeding risk (HBR) patients.... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.