Annalise-AI
About Annalise-AI
Annalise-AI is a global health-tech company specializing in advanced artificial intelligence solutions for medical imaging, designed to serve as a “second set of digital eyes” for clinicians. Their comprehensive AI platforms, such as Annalise Enterprise CXR and Annalise Enterprise CTB, are engineered to assist radiologists and healthcare providers in interpreting radiological studies with enhanced accuracy and efficiency. These solutions are trained on extensive, expert-annotated datasets, enabling the detection of a broad spectrum of findings—up to 124 on chest X-rays and up to 130 on non-contrast head CTs.
The company’s AI tools integrate seamlessly into existing clinical workflows, providing immediate results that can aid in critical triage and worklist prioritization. This capability helps ensure that time-sensitive cases, such as those involving pneumothorax, tension pneumothorax, or obstructive hydrocephalus, are flagged promptly, leading to quicker diagnoses and interventions. By improving diagnostic confidence and reducing the risk of missed findings, Annalise-AI aims to alleviate radiologist workload, lessen fatigue, and ultimately drive better patient outcomes globally.
Annalise-AI’s patient-first approach is clinician-led, stemming from a deep understanding of the challenges in medical imaging. Their solutions have received regulatory clearances in numerous countries, including FDA approvals in the US, and are deployed in hundreds of healthcare facilities worldwide, supporting millions of patients annually. Beyond current offerings, the company’s research and development efforts extend to areas like orthopedic diseases, respiratory tract diseases, and women’s health, indicating a commitment to expanding AI’s impact across diverse medical fields.
Focus Areas
Business Intelligence
| Key Investors | I-MED Radiology Network, Harrison.ai |
| Partnerships | Mass General Brigham, NHS Trusts (UK), Hong Kong public emergency departments, Nuance Communications (a Microsoft Company), Ramsay Sime Darby Health Care (Malaysia), Gleneagles Kuala Lumpur (Malaysia), Raleigh Radiology |
| Acquisitions | Acquired by Harrison.ai (December 4, 2024); subsequently rebranded as Harrison.ai Radiology (October 7, 2025) |
| Technology | Deep learning, convolutional neural networks, multi-view and multi-modal imaging inference (CXR and CT), worklist prioritization algorithms, low-latency inference engines, large-scale expert-annotated training datasets, radiology-focused foundational AI models, cloud-native (implied by AI marketplace participation) |
| FDA Clearances | 10 cleared products (estimated) |
What Physicians Need to Know
For physicians, Annalise-AI (now operating as Harrison.ai Radiology) offers a powerful adjunctive tool to enhance diagnostic confidence and efficiency. Leverage its comprehensive detection capabilities as an objective 'second pair of eyes' to minimize the risk of missing subtle or critical findings, especially in high-volume settings. Utilize the AI's rapid triage and notification features to prioritize urgent cases, ensuring timely patient intervention and potentially reducing turnaround times. While the AI provides robust decision support, always integrate its output with your clinical expertise and other patient information for final diagnostic decisions. The system's design, informed by extensive clinician feedback, aims to reduce cognitive load and burnout, allowing you to focus on complex cases and patient care.
Annalise-AI solutions are engineered for seamless integration into existing radiology workflows. They interface with standard clinical imaging systems like PACS/RIS, providing AI results in DICOM format (Secondary Capture) and can be configured to feed into worklist software for prioritization and notification. The platform is typically used on PC workstations in conjunction with medical imaging viewers, ensuring a low-friction adoption into current clinical environments. Deployment services are offered to facilitate integration, and the company also makes its solutions available through AI marketplaces.
What the Web Says
Annalise.ai is an Australian company specializing in AI-powered medical imaging solutions for radiology. Their products, Annalise Enterprise CXR and Annalise Enterprise CTB, are designed to improve diagnostic accuracy and efficiency for radiologists by detecting a comprehensive range of findings on chest X-rays and non-contrast head CT scans. The company's solutions are used in various settings, including emergency care, and for screening purposes for conditions like lung cancer and stroke. While there is strong evidence and positive feedback regarding the product's performance in clinical studies and from some users, some Reddit discussions indicate concerns about false positives and the potential for AI to miss critical findings.
Overall: MixedStrengths
- Significantly improves radiologists' diagnostic accuracy (e.g., 32% increase for CTB).
- Reduces overall reading time for radiologists (e.g., 11% faster for CTB).
- Detects a comprehensive range of findings (up to 124 for CXR and 130 for CTB), exceeding competitors.
- Reduces human bias and minimizes the risk of misdiagnosis.
- Integrates seamlessly with existing PACS, RIS, and EMR systems.
- Helps prioritize critical cases, leading to quicker diagnoses and patient treatments.
Limitations
- Some Reddit users report the AI can miss things and overcall others, leading to false positives.
- False positives can lead to increased workload for radiologists who need to explain them to other doctors and patients.
- Concerns raised about the origin of the training data, specifically regarding patient consent for anonymized scans used from a large Australian medical imaging lab.
- Limited public reviews on platforms like G2, Glassdoor, and Capterra specifically for Annalise.ai products, making it difficult to gauge widespread user sentiment from these sources.
- One Reddit user mentioned that if the AI were a resident, it would be failing the rotation due to false positives.
Based on reviews from: BioWorld, Annalise.ai (Case Studies), techAU, Reddit, Harrison.ai, Microsoft Marketplace, Imaging Technology News, G2, ProvenExpert
Last updated: 2026-07-17
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