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
LGC Clinical Diagnostics

Download Mobile App


24 Feb 2024 - 28 Feb 2024
05 Mar 2024 - 07 Mar 2024

AI Paving the Way for New Generation of Medical Diagnostic Devices

By LabMedica International staff writers
Posted on 22 Aug 2019
Print article
The development of deep learning and neural networks has led to artificial intelligence (AI) gaining learning capabilities, as a result of which some new AI tools are now better than human eyes at recognizing patterns. This is paving the way for the emergence of a new generation of medical diagnostic devices that are capable of surpassing the detection skills of the best medical practitioners.

These are the latest findings of Research and Markets, (Dublin, Ireland), a global market research company.

The ability to replicate AI has made the expertise of such medical diagnostic devices accessible to a large number of patients. Additionally, AI finds numerous and diverse applications in medical diagnostics, such as image analysis for tumor detection, video detection for gait disorders and fall prediction, biochemical tests such as for diabetes or speech analysis of emotional state and psychiatric disorders. Hence, AI will significantly disrupt the traditional model of medical diagnosis.

Since 2016, companies working on the development of AI for medical imaging have made investments of more than USD 1.1 billion. In addition to big medical diagnostic systems manufacturers, the number of Intellectual Property (IP) newcomers is also important and growing. Unlike as in the case of development of new medical devices, the costs for developing AI software are moderate. As a result, the number of IP newcomers developing innovative software is likely to continue to increase sharply over the coming years.

The emergence of several new companies, coupled with the various advantages and new applications of AI for medical diagnostics, makes it crucial to understand the IP position and strategy of the different players. An analysis of the time evolution of patent publications reveals that the development of medical diagnostic systems with built-in computer-assisted detection features is not new, and the first patents related to this topic were published in the 1980s. During the 1990s, Japanese manufacturers of medical imaging systems began investing in investigations into this field to be soon followed by European companies and later by American companies. The number of patent families published each year increased progressively until 2015 and has increased rapidly since then, with more than 1,100 new patent families published in 2018. This indicates that AI in medical diagnostics is a very hot topic that is mobilizing great R&D efforts from different players.

Among the players who have filed patents related to AI in medical diagnostics, over 90 are newcomers, out of which most are startup firms currently developing their first products. These products include software solutions such as software for ultrasound imaging analysis, image resolution improvement or real-time brain monitoring, or medical devices that are capable of live analysis of biological parameters, such as blood glucose monitoring apparatus, sleep monitoring sensors and ECG. Several IP newcomers are based in the US while some are based in Israel, in Europe or in Asia. Some of these innovative companies could become one of the next healthcare unicorns, making them potential acquisition targets for big corporations.

Related Links:
Research and Markets

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Specimen Collection & Transport
POCT Fluorescent Immunoassay Analyzer
Gold Member
Turbidimetric Control
D-Dimer Turbidimetric Control

Print article


Clinical Chemistry

view channel
Image: Wireless Point-of-Care Testing for Hepatitis B Virus (Photo courtesy of Chulalongkorn University)

Wireless Hepatitis B Test Kit Completes Screening and Data Collection in One Step

Hepatitis B, a significant global health concern, is responsible for chronic liver diseases like cirrhosis and liver cancer which is one of the most common cancers worldwide. The challenge with hepatitis... Read more

Molecular Diagnostics

view channel
Image: Aptiva utilizes particle-based multi-analyte technology (PMAT) (Photo courtesy of Werfen)

Novel Immunoassays Enable Early Diagnosis of Antiphospholipid Syndrome

Antiphospholipid syndrome (APS) is an autoimmune disorder that typically presents as venous or arterial thrombosis and/or pregnancy loss. Diagnosing APS can be difficult as its symptoms often resemble... Read more


view channel
Image: The Gazelle Hb Variant Test (Photo courtesy of Hemex Health)

First Affordable and Rapid Test for Beta Thalassemia Demonstrates 99% Diagnostic Accuracy

Hemoglobin disorders rank as some of the most prevalent monogenic diseases globally. Among various hemoglobin disorders, beta thalassemia, a hereditary blood disorder, affects about 1.5% of the world's... Read more


view channel
Image: The photoacoustic spectral response sensing instrument is based on low-cost laser diodes (Photo courtesy of Khan et al., doi 10.1117/1.JBO.29.1.017002)

Compact Photoacoustic Sensing Instrument Enhances Biomedical Tissue Diagnosis

The pursuit of precise and efficient diagnostic methods is a top priority in the constantly evolving field of biomedical sciences. A promising development in this area is the photoacoustic (PA) technique.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.