Case studies

AI-powered patient engagement​

(Augmented intelligences, Case studies)

Who: Corti
What: Corti offers an advanced AI solution for enhancing patient consultations. Developed with extensive research and practical application, Corti’s AI assists in real-time decision support, triaging, documentation, and quality assurance. By analysing virtual and face-to-face patient engagements, the AI provides actionable insights, streamlines workflows, and improves patient outcomes. Trusted by major healthcare providers, Corti integrates seamlessly into existing systems, increasing productivity by over 10% and ensuring comprehensive quality assurance. This AI-powered platform supports healthcare professionals in delivering efficient, accurate, and empathetic care.​
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FitBit health solutions for enterprise​

(Augmented intelligences, Case studies)

Who: FitBit Enterprise
What: FitBit Enterprise offers comprehensive health solutions aimed at improving population health through data-driven insights and wearable technology. Their solutions encompass a wide range of applications including chronic condition management, behaviour change, and foundational health behaviours. Fitbit devices collect extensive health data such as activity levels, heart rate, and sleep patterns, which can be leveraged to enhance health outcomes and support wellness programs.​
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AI-powered care-at-home platform​

(Augmented intelligences, Case studies)

Who: Current Health
What: Current Health has developed an enterprise care-at-home platform that integrates continuous vital signs monitoring, telehealth services, and AI-powered analytics to provide comprehensive remote patient management. This platform supports various care models including hospital-at-home, transitional care, and chronic disease management. By delivering acute care at home, it helps healthcare providers reduce hospital admissions, improve patient outcomes, and lower costs. The technology is designed to integrate seamlessly with existing healthcare systems, enhancing care delivery through real-time data and patient engagement tools.​
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AI-powered care delivery​

(Augmented intelligences, Case studies)

Who: Biofourmis
What: Biofourmis offers advanced AI-powered solutions for personalized and scalable care delivery. Their platform integrates cloud-based infrastructure, AI-enabled analytics, and continuous monitoring to deliver care across various acuity levels and conditions. This system allows for seamless transitions between care programs, supported by licensed health providers and navigators. The technology enables remote patient management, coordination of in-home services, and interoperability with existing EMRs. By providing real-time data and insights, Biofourmis enhances patient outcomes, reduces hospital readmissions, and lowers healthcare costs, making it a leader in virtual and in-home care solutions.​
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Fundamental surgery​

(Augmented intelligences, Case studies)

Who: FundamentalVR
What: FundamentalVR offers advanced virtual reality solutions for surgical training. Key products include HapticVR™, StandaloneVR, and CollaborationVR, which provide immersive, tactile training experiences. These platforms enable surgeons to enhance their skills with realistic simulations, track performance with AI-driven data, and collaborate globally. Fundamental Surgery's technology aims to improve surgical accuracy, accelerate skill acquisition, and support various medical and sales teams in training and development.​
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AI-powered oncology data integration​

(Augmented intelligences, Case studies)

Who: Oncora Medical​
What: Oncora Medical specializes in transforming oncology data into actionable insights to enhance cancer treatment and research. Their solutions, such as Oncora Patient Care and Oncora Registry, integrate seamlessly with existing EHRs and other software systems to unify data from various sources including electronic health records (EHRs), treatment planning systems, oncology information systems, and tumour registries. This data integration engine enables oncologists and researchers to visualize and analyse registry data in a secure, web-based platform, driving research, identifying patient cohorts, and confirming clinical trial feasibility.​
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AI-powered chest pain triage​

(Augmented intelligences, Case studies)

Who: TIIM Healthcare aiTriage™​
What: aiTriage™ offers a device-agnostic chest pain triage solution that combines speed, accuracy, and ease of use. It predicts the patient's risk of 3- and 30-day Major Adverse Cardiac Events (MACE) non-invasively within minutes, seamlessly integrating into existing workflows in emergency departments and primary care settings. aiTriage employs patented AI technology to provide rapid and accurate risk stratification for MACE. This assists healthcare professionals in prioritizing patients who need urgent care and reassuring those at low risk. Utilizing short electrocardiogram tracings, aiTriage measures cardiac autonomic regulation, reflecting the balance between the sympathetic and parasympathetic nervous systems, which is crucial for assessing MACE risk.​
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Multiomics-based cancer detection​

(Augmented intelligences, Case studies)

Who: Freenome
What: Freenome detects cancer using a multiomics platform that integrates molecular biology with advanced computational biology and machine learning. This approach analyses tumour and non-tumour signals from a routine blood draw, detecting cancer at its earliest stages. Freenome's flagship study, PREEMPT CRC, aims to validate their blood test for colorectal cancer (CRC) screening. With over 35,000 participants, this study seeks to demonstrate the test's sensitivity and specificity across diverse populations. Additionally, the Vallania Study expands this technology to multiple cancers, including lung and pancreatic cancers, striving to enhance early detection and optimize patient care pathways. ​
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AI-integrated pathology workflow​

(Augmented intelligences, Case studies)

Who: PathAI​
What: PathAI's AISight™ platform integrates with Laboratory Information Systems (LIS) to enhance pathology workflows. It ensures HIPAA-compliant data transmission of case details and whole slide images (WSI) from the lab to AISight™. The platform allows users to launch AISight™ directly from the LIS for both onsite and remote image analysis. It supports the deployment of AI algorithms, including AIM PD-L1 and AIM HER2, which assist in the detailed analysis of pathological samples. This integration aims to optimize diagnostic accuracy and efficiency in pathology labs.​
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AI-powered breast and lung cancer screening​

(Augmented intelligences, Case studies)

Who: Intelerad medical systems and PenRad technologies
What: In 2022, Intelerad acquired PenRad Technologies to enhance their breast and lung cancer screening capabilities. PenRad's software, including PenRad for breast imaging and PenLung for lung cancer screening, integrates with Intelerad’s imaging platform. This combination optimizes radiologist workflows, improves diagnostic accuracy, and helps manage the increased demand for cancer screenings. This acquisition aims to provide efficient, scalable imaging solutions that support healthcare professionals in delivering better patient care and outcomes.​
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