📋 Tender Overview
Given the pace of technology advancement artificial intelligence AI in radiology has moved past the nascent stage toward maturity. Commercial adoption is on the rise while the industry continues to see an increasing number of startups emerging to serve radiology AI needs. However the market is fundamentally different today than before the pandemic. Here are the top trends in radiology AI that all market stakeholders should consider.Solution DevelopmentComprehensive End-to-end Value-adding SolutionsGone are the days of developing a simple reading room solution that assists radiologists in identifying areas of interest. Solutions that support the full care continuum for current disease conditions are more likely to gain a foothold. These solutions will suggest the best imaging tests to be performed based on symptoms and the optimal scan settings to obtain the necessary images. They will guide clinicians in making the appropriate diagnosis and treatment decisions.RapidAI Beyond stroke detection this workflow solution helps in-app communication with stroke team members to assemble an interventional team at a moments notice reducing the time from detection to intervention.VIDA In pulmonology VIDA Insights erstwhile LungPrint helps with early disease detection optimizes the interpretation time of complex conditions like COPD and ILD and helps make the right treatment decisions.Multiple Anomaly Detection SolutionsCare providers increasingly prefer solutions that can detect multiple anomalies in a single scan which can reduce image reading time and minimize human error. These solutions could be valuable in emergency trauma cases where an incidental finding could help save a life. Although this is notably a smaller trend such solutions are perceived to provide a higher return on investment. One example is Annalise.AI which can detect over 120 abnormalities in a chest X-ray.Risk-based Screening Stratification SolutionsArtificial intelligence solutions designed to help reduce the volume of scans by weeding out normal patients and flagging abnormal ones for radiologist review are becoming increasingly popular. Recent evidence presented at radiology conferences points to how these solutions can significantly reduce the radiologists workload especially with mammography screening in developed countries and tuberculosis screening in developing countries which typically see large volumes of scans. These solutions also help prevent or at least reduce unnecessary diagnostic testing such as biopsies and associated costs.Demand for Radiology AI SolutionsAPAC Warming Up to Radiology AIThere is a marked increase in radiology AI adoption among emerging markets especially in the APAC region. Care providers are procuring solutions from local vendors like Synapsica.AI and Rises.AI in India and Advanced Abilities Solutions in the Philippines. Solutions providers from the region are also foraying into other emerging markets by partnering with local vendors. For example Lunit South Korea entered Indonesia in partnership with INFINITT while Vuno South Korea entered Latin American markets in partnership with Visual Medica PACS.Self-developed AI Solutions Remain in DemandDespite many artificial intelligence solution vendors out there the demand from hospitals to develop their own AI solutions persists. Some vendors also help in this regard Gradient Health offers annotated images for training AI solutions Encord offers DICOM annotation software and Paxera Health has partnered with Penn Medicine to help develop their own AI solutions.Platforms and Marketplaces Grow but Face Lukewarm ResponseSince 2017 several companies have established an AI marketplace offering a gamut of AI services from a variety of vendors. Blackford Analysis Nuance Health now with Microsoft and Envoy AI now under Symphony AI group rebranded as Eureka were among the first to adopt this approach. Over the years several others emerged such as Arterys IBM Fovia.AI Incepto Europe CARPL Mahajan Imaging India Doctor Net Japan Vizyon blockchain and teleradiology and Wingspan China. More recently we have Enlitic Curie platform and QMenta which focuses on neurology.
