What: Successfully commercialised in 2023 after 15 years of development and testing, the assessment algorithm takes 2D magnetic resonance (MR) images and converts them into the much more expensive (and thus less commonly ordered) 3D versions. By automating this process, the algorithm can increase the quality of scans, provide earlier detection of knee osteoarthritis, and save healthcare costs. The CSIRO algorithm has the additional benefit of creating images that can be more accurately analysed by diagnostic AI algorithms. By presenting the images in AI-readable forms, it further expands the possibilities for rapid AI-powered diagnoses at a time when the demand for radiologist reviews is outstripping supply.​

What: Intelligencia AI uses artificial intelligence to improve the probability of success in drug development. The platform leverages machine learning to assess the probability of technical and regulatory success (PTRS) of drug candidates, making use of vast and diverse datasets. By providing data-driven insights, Intelligencia helps pharmaceutical companies make informed decisions, prioritize promising candidates, and reduce development costs. Intelligencia AI's algorithm analyse patterns and interdependencies in extensive datasets, offering accurate PTRS predictions and enhancing decision-making at critical stages. ​

What: Healthily revolutionizes health insurance with its AI-powered virtual health assistant, Dot™. This platform uses smart symptom navigation to provide members with medically validated information, guiding them to the most appropriate next steps for their health concerns. Dot™ helps reduce unnecessary and inefficient pathways, improving patient outcomes while saving costs for insurers. By automating symptom assessment and signposting, Dot™ minimizes the burden on healthcare professionals and call centres, allowing for more efficient resource utilization. Since 2015, Healthily has ensured that safety and medical accuracy are paramount, enhancing the overall healthcare experience for users.​

What: Touch Surgery™ is an AI-powered ecosystem that enhances surgical procedures through digital solutions. It offers tools for video capture, performance insights, live streaming, simulations, and connectivity. These features enable surgeons to turn complex data into actionable insights, track progress, and improve surgical efficiency. The platform integrates next-generation computing and visualization technology, supporting surgeons before, during, and after surgery.

What: ntroduced in 2024, Cisco Hypershield is a groundbreaking security architecture designed for the AI era. Built from the ground up with AI-native technology, it redefines how data centres and cloud environments are secured. Hypershield provides autonomous segmentation, distributed exploit protection, and self-qualifying upgrades. It leverages the power of AI to automatically segment networks, identify and shield vulnerabilities before they can be exploited, and deploy upgrades without downtime. This AI-driven approach significantly enhances security while reducing the complexity and cost traditionally associated with manual processes.

What: Qventus offers an AI-driven platform designed to optimize hospital operations by predicting bottlenecks, recommending solutions, and automating processes through seamless EHR integration. The platform improves surgical scheduling, discharge planning, and resource utilization, enhancing efficiency and reducing length of stay. By combining real-time data and machine learning, Qventus helps healthcare providers create capacity, reduce manual work, and increase revenue. Trusted by top healthcare institutions, Qventus delivers significant ROI and improves patient care through intelligent automation.

What: MedAware has developed an AI-driven platform to enhance medication safety by identifying and preventing prescription errors. Leveraging extensive data from electronic health records (EHRs), MedAware's system utilizes machine learning algorithms to detect anomalies and potential adverse drug events (ADEs). The technology analyses prescription patterns, comparing them to historical data to flag deviations that could indicate errors. By integrating seamlessly into existing healthcare workflows, MedAware's solution supports healthcare providers in making safer, more informed prescribing decisions, thereby reducing the risk of medication errors and improving patient outcomes. The platform also addresses challenges like alert fatigue by refining the accuracy of its notifications, ensuring that healthcare professionals receive only the most pertinent alerts. This approach not only enhances patient safety but also optimizes the efficiency of healthcare operations.

What: This project decodes mental health information by analysing gaming and social media data. It explores how gamers' bonds with their avatars can predict depression risk, using AI classifiers to analyse longitudinal data from 565 participants. For social media, it uses natural language processing to analyse 233,000 tweets, achieving high accuracy in predicting anxiety diagnoses. This integration aims to identify mental health issues early, demonstrating the potential for AI-driven mental health interventions.

What: BlueDot employs predictive intelligence to forecast global climatic suitability for Aedes albopictus and Aedes aegypti mosquitoes under various climate change scenarios projected for the next decade. This allows health services to plan for any forecast increases in the incidence of mosquito-borne illnesses. BlueDot's methodology utilises a gradient-boosted regression tree model, integrating data on precipitation, surface temperature, and elevation. Historical mosquito occurrence data informs the model, which predicts suitability at a detailed resolution of 5km by 5km. The model accounts for three climate change pathways: SSP 1-2.6 (best-case scenario), SSP 2-4.5 (most-likely scenario), and SSP 5-8.5 (worst-case scenario) from the 6th Coupled Model Intercomparison Project.

What: ScreenPoint Medical has created Transpara®, an advanced AI solution for breast cancer screening. Developed over a decade, Transpara® analyses mammograms to assist radiologists by highlighting potential areas of concern, enhancing the accuracy and efficiency of breast cancer detection. It identifies abnormalities and prioritizes cases by cancer likelihood, allowing radiologists to focus on the most critical cases. This AI system integrates seamlessly into existing workflows, improving diagnostic confidence and reducing healthcare professionals' workloads. Transpara® significantly advances breast cancer screening by providing earlier and more reliable detection, thereby optimizing healthcare resources.