# Harrison

> Reimagining the future of healthcare with AI Get started Trusted by leading public and private healthcare providers around the world. Raising the standard of care. We’re empowering clinicians with next-generation

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## Pages

- [Harrison.ai Comprehensive Care](https://harrison.ai/us/comprehensive-care/)
- [Life at Harrison.ai](https://harrison.ai/life-at-harrison/)
- [Home USA](https://harrison.ai/us/)
- [Home AU](https://harrison.ai/au/)
- [CTC](https://harrison.ai/ctc/)
- [CTB](https://harrison.ai/ctb/)
- [Home](https://harrison.ai/)
- [CXR](https://harrison.ai/cxr/)
- [Public Hospital](https://harrison.ai/public-hospital/)
- [About Us](https://harrison.ai/about-us/)
- [Radiology Solutions](https://harrison.ai/radiology-solutions/)
- [Private Hospital](https://harrison.ai/private-hospital/)
- [Private Radiology Provider](https://harrison.ai/private-radiology-provider/)
- [Emergency and Acute Care](https://harrison.ai/emergency-and-acute-care/)
- [Oncology](https://harrison.ai/oncology/)
- [Harrison.rad.1](https://harrison.ai/radiology-foundation-model/)
- [Newsroom](https://harrison.ai/newsroom/)
- [Harrison.ai Careers Privacy Notice](https://harrison.ai/careers-privacy-notice/)
- [Data Privacy FAQs.](https://harrison.ai/data-privacy-faqs/)
- [Terms of Use.](https://harrison.ai/terms-of-use/)
- [Harrison.ai Privacy Notice](https://harrison.ai/privacy-notice/)
- [Carbon Reduction Plan.](https://harrison.ai/carbon-reduction-plan/)
- [Sales Enquiry](https://harrison.ai/sales-enquiry/)
- [General enquiries](https://harrison.ai/general-enquiries/)
- [Contact](https://harrison.ai/contact/)
- [Careers](https://harrison.ai/careers/)
- [Resources](https://harrison.ai/resources/)

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## Resources

- [Parkway Radiology's secret to handling 300 chest X-rays a day](https://harrison.ai/parkway-radiologys-secret-to-handling-300-chest-x-rays-a-day/)
- [How technology and timing came together for a potentially life-saving diagnosis.](https://harrison.ai/how-technology-and-timing-came-together-for-a-potentially-life-saving-diagnosis/)
- [Opinion: Enhancing Emergency Care, the Role of AI in Detecting Overlooked Acute Infarcts](https://harrison.ai/enhancing-emergency-care-the-role-of-ai-in-detecting-overlooked-acute-infarcts/)
- [The ‘second set of eyes’ helping radiology experts at Bradford Teaching Hospitals](https://harrison.ai/a-second-set-of-eyes-helping-radiology-experts-at-bradford-teaching-hospitals/)
- [Using Harrison.ai Comprehensive Care in my practice: Am I compliant with the Affordable Care Act 1557?](https://harrison.ai/using-annalise-enterprise-critical-care-in-my-practice-am-i-compliant-with-the-affordable-care-act-1557/)
- [How does Harrison.ai Comprehensive Care helps you comply with ACA Section 1557](https://harrison.ai/how-annalise-critical-care-ai-helps-you-comply-with-aca-section-1557/)
- [The ‘second set of eyes’ helping radiology experts at Bradford Teaching Hospitals](https://harrison.ai/the-second-set-of-eyes-helping-radiology-experts-at-bradford-teaching-hospitals/)
- [Enhancing Public Healthcare Through AI: Insights from SAMI’s Harrison.ai Integration](https://harrison.ai/enhancing-public-healthcare-through-ai-insights-from-samis-harrison-ai-integration/)
- [The Potential Clinical Utility of an Artificial Intelligence Model for Identification of Vertebral Compression Fractures in Chest Radiographs](https://harrison.ai/the-potential-clinical-utility-of-an-artificial-intelligence-model-for-identification-of-vertebral-compression-fractures-in-chest-radiographs/)
- [From Challenge to Solution: How Harrison.ai is Enhancing Radiology at Sant’Andrea Hospital, Italy](https://harrison.ai/from-challenge-to-solution-how-annalise-ai-is-enhancing-radiology-at-santandrea-hospital-italy/)
- [Aarthi Scans Upgrades AI for Detection of Critical Brain Pathologies Reporting within 10 mins](https://harrison.ai/aarthi-scans-upgrades-ai-for-detection-of-critical-brain-pathologies-reporting-within-10-mins/)
- [Evaluation of an artificial intelligence model for identification of obstructive hydrocephalus on computed tomography of the head](https://harrison.ai/evaluation-of-an-artificial-intelligence-model-for-identification-of-obstructive-hydrocephalus-on-computed-tomography-of-the-head/)
- [Large scale artificial intelligence deployment in the Emergency & Radiology Departments in 17 hospitals in a city for the detection, triage and management of patients with acute intracranial hemorrhage](https://harrison.ai/large-scale-artificial-intelligence-deployment-in-the-emergency-radiology-departments-in-17-hospitals-in-a-city-for-the-detection-triage-and-management-of-patients-with-acute-intracranial-hemorrhage/)
- [Using AI to Identify Unremarkable Chest Radiographs for Automatic Reporting](https://harrison.ai/using-ai-to-identify-unremarkable-chest-radiographs-for-automatic-reporting-4/)
- [Evaluation of an Artificial Intelligence Model for Identification of Intracranial Hemorrhage Subtypes on Computed Tomography of the Head](https://harrison.ai/evaluation-of-an-artificial-intelligence-model-for-identification-of-intracranial-hemorrhage-subtypes-on-computed-tomography-of-the-head-2/)
- [A step-by-step guide to deploying clinical AI in the NHS](https://harrison.ai/a-step-by-step-guide-to-deploying-clinical-ai-in-the-nhs/)
- [The HR Community Podcast: Navigating Start-Up Culture with Nicole Karagiannis](https://harrison.ai/the-hr-community-podcast-navigating-start-up-culture-with-nicole-karagiannis/)
- [Breaking bias: The role of artificial intelligence in improving clinical decision-making](https://harrison.ai/breaking-bias-the-role-of-artificial-intelligence-in-improving-clinical-decision-making/)
- [Decoding AI jargon for clinicians](https://harrison.ai/decoding-ai-jargon-for-clinicians/)
- [Millions Moments 06: Mikiko Bazeley on the journey of ML from 2013 to today](https://harrison.ai/millions-moments-06-mikiko-bazeley-on-the-journey-of-ml-from-2013-to-today/)
- [Millions Moments 05: Doug Rathbone on how AI can help you mow your lawn](https://harrison.ai/millions-moments-05-doug-rathbone-on-how-ai-can-help-you-mow-your-lawn/)
- [Millions Moments 04: Jarrel Seah on evaluating the proficiency of AI medical tools](https://harrison.ai/millions-moments-04-jarrel-seah-on-evaluating-the-proficiency-of-ai-medical-tools/)
- [5 Key Takeaways on How to Leverage AI for Patient-Centric Public Healthcare](https://harrison.ai/5-key-takeaways-on-how-to-leverage-ai-for-patient-centric-public-healthcare/)
- [Millions Moments 03: Jed Dougherty on data's power in navigating real-world challenges](https://harrison.ai/millions-moments-03-jed-dougherty-on-datas-power-in-navigating-real-world-challenges/)
- [Investigating Artificial Intelligence detection of unreported radiographic markers of osteoporosis on chest X-ray](https://harrison.ai/investigating-artificial-intelligence-detection-of-unreported-radiographic-markers-of-osteoporosis-on-chest-x-ray/)
- [A battle of the brains: exploring the accuracy of artificial intelligence in detecting brain bleeds on CT scans.](https://harrison.ai/a-battle-of-the-brains-exploring-the-accuracy-of-artificial-intelligence-in-detecting-brain-bleeds-on-ct-scans/)
- [Impact of an artificial intelligence assist tool on CT brain report time: a mixed methods evaluation of report time across a large teleradiology service.](https://harrison.ai/impact-of-an-artificial-intelligence-assist-tool-on-ct-brain-report-time-a-mixed-methods-evaluation-of-report-time-across-a-large-teleradiology-service/)
- [Urgent vs non-urgent triage of CTB based on a comprehensive AI model – validation on a ground-truthed, real-world dataset](https://harrison.ai/urgent-vs-non-urgent-triage-of-ctb-based-on-a-comprehensive-ai-model-validation-on-a-ground-truthed-real-world-dataset/)
- [Estimating the impact of chest radiograph triage using AI – a real-life multicenter diagnostic cohort study.](https://harrison.ai/estimating-the-impact-of-chest-radiograph-triage-using-ai-a-real-life-multicenter-diagnostic-cohort-study/)
- [Impact of different artificial intelligence user interfaces on lung nodule and mass detection on chest radiographs](https://harrison.ai/impact-of-different-artificial-intelligence-user-interfaces-on-lung-nodule-and-mass-detection-on-chest-radiographs-2/)
- [Investigating the feasibility of using AI to detect unreported chronic disease findings on chest X-rays in a retrospective aged patient dataset](https://harrison.ai/investigating-the-feasibility-of-using-ai-to-detect-unreported-chronic-disease-findings-on-chest-x-rays-in-a-retrospective-aged-patient-dataset/)
- [Missed diagnosis on chest X-ray: Auditing large volumes of data with the help of comprehensive artificial intelligence](https://harrison.ai/missed-diagnosis-on-chest-x-ray-auditing-large-volumes-of-data-with-the-help-of-comprehensive-artificial-intelligence/)
- [Consecutive cohort analysis with NLP and multi-finding AI algorithm for chest radiographs: Multidimensional opportunity for QA/QC.](https://harrison.ai/consecutive-cohort-analysis-with-nlp-and-multi-finding-ai-algorithm-for-chest-radiographs-multidimensional-opportunity-for-qa-qc/)
- [Effect of Machine Learning Assisted Triage on CT Brain Report Turn-Around Time in Australian Emergency Departments](https://harrison.ai/effect-of-machine-learning-assisted-triage-on-ct-brain-report-turn-around-time-in-australian-emergency-departments/)
- [Millions Moments 02: Kendra Vant on the complexity of fairness in AI](https://harrison.ai/millions-moments-02-kendra-vant-on-the-complexity-of-fairness-in-ai/)
- [3 Questions to ask when in the market for a radiology AI solution](https://harrison.ai/3-questions-to-ask-when-in-the-market-for-a-radiology-ai-solution/)
- [When everything is STAT, nothing is STAT](https://harrison.ai/when-everything-is-stat-nothing-is-stat/)
- [Millions Moments 01: Bhautik Joshi on the surprising outcomes of an AI-enhanced selfie](https://harrison.ai/millions-moments-01-bhautik-joshi-on-the-surprising-outcomes-of-an-ai-enhanced-selfie/)
- [Critical vs. non-critical triage of chest X-rays based on a comprehensive AI model – validation on a ground-truthed, real-world dataset](https://harrison.ai/critical-vs-non-critical-triage-of-chest-x-rays-based-on-a-comprehensive-ai-model-validation-on-a-ground-truthed-real-world-dataset/)
- [Commercially available chest radiograph AI tools for detecting airspace disease, pneumothorax, and pleural effusion](https://harrison.ai/commercially-available-chest-radiograph-ai-tools-for-detecting-airspace-disease-pneumothorax-and-pleural-effusion/)
- [Evaluation of an artificial intelligence model for identification of intracranial hemorrhage subtypes on computed tomography of the head](https://harrison.ai/evaluation-of-an-artificial-intelligence-model-for-identification-of-intracranial-hemorrhage-subtypes-on-computed-tomography-of-the-head/)
- [Impact of different artificial intelligence user interfaces on lung nodule and mass detection on chest radiographs](https://harrison.ai/impact-of-different-artificial-intelligence-user-interfaces-on-lung-nodule-and-mass-detection-on-chest-radiographs/)
- [Open the Pod Bay Doors by Innovation Bay with Aengus Tran, harrison.ai](https://harrison.ai/open-the-pod-bay-doors-by-innovation-bay-with-aengus-tran-harrison-ai/)
- [Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy](https://harrison.ai/effects-of-a-comprehensive-brain-computed-tomography-deep-learning-model-on-radiologist-detection-accuracy/)
- [Millions: AI Transforming Business - Featureform: to move the world forward, we need to keep our minds open-source](https://harrison.ai/millions-ai-transforming-business-featureform-to-move-the-world-forward-we-need-to-keep-our-minds-open-source/)
- [Analysis of line and tube detection performance of a chest X-ray deep learning model to evaluate hidden stratification](https://harrison.ai/analysis-of-line-and-tube-detection-performance-of-a-chest-x-ray-deep-learning-model-to-evaluate-hidden-stratification/)
- [Millions: AI Transforming Business - Using AI to tackle one of humanity’s biggest challenges](https://harrison.ai/millions-ai-transforming-business-using-ai-to-tackle-one-of-humanitys-biggest-challenges/)
- [Millions: AI Transforming Business – Dataiku: democratising data through the power of AI](https://harrison.ai/millions-ai-transforming-business-dataiku-democratising-data-through-the-power-of-ai/)
- [Millions: AI Transforming Business - Airtasker: the to-do list has only just begun](https://harrison.ai/millions-ai-transforming-business-airtasker-the-to-do-list-has-only-just-begun/)
- [Millions: AI Transforming Business - Xero: AI meets small business](https://harrison.ai/millions-ai-transforming-business-xero-ai-meets-small-business/)
- [UNSW The Business of AI Episode 2: How can AI help healthcare?](https://harrison.ai/unsw-the-business-of-ai-episode-2-how-can-ai-help-healthcare/)
- [The High Flyers Podcast with Vidit Agarwal: Peter Huynh on Vietnamese connection, startup ecosystems & state of healthcare AI](https://harrison.ai/the-high-flyers-podcast-with-vidit-agarwal-peter-huynh-on-vietnamese-connection-startup-ecosystems-state-of-healthcare-ai/)
- [Millions: AI Transforming Business - Canva: the creative mind behind AI integration](https://harrison.ai/millions-ai-transforming-business-canva-the-creative-mind-behind-ai-integration/)
- [Work Life by Design podcast: Designing Social Connection & Intentional Employee Incentive Programs](https://harrison.ai/work-life-by-design-podcast-designing-social-connection-intentional-employee-incentive-programs/)
- [HR Leader Podcast: harrison.ai chief people and culture officer on HR’s wide-ranging commercial value](https://harrison.ai/hr-leader-podcast-harrison-ai-chief-people-and-culture-officer-on-hrs-wide-ranging-commercial-value/)
- [Machine learning augmented interpretation of chest X-rays: A systematic review](https://harrison.ai/machine-learning-augmented-interpretation-of-chest-x-rays-a-systematic-review/)
- [How normal is a normal chest X-ray: Does a comprehensive artificial intelligence model identify significant findings in chest radiographs interpreted as normal in clinical practice?](https://harrison.ai/how-normal-is-a-normal-chest-x-ray-does-a-comprehensive-artificial-intelligence-model-identify-significant-findings-in-chest-radiographs-interpreted-as-normal-in-clinical-practice/)
- [Evaluation of an artificial intelligence model for detection of pneumothorax and tension pneumothorax in chest radiographs](https://harrison.ai/evaluation-of-an-artificial-intelligence-model-for-detection-of-pneumothorax-and-tension-pneumothorax-in-chest-radiographs/)
- [An approach to threshold selection for clinical implementation of diagnostic assist artificial intelligence models – customising AI to the clinical environment](https://harrison.ai/an-approach-to-threshold-selection-for-clinical-implementation-of-diagnostic-assist-artificial-intelligence-models-customising-ai-to-the-clinical-environment/)
- [Insights from implementation of an artificial intelligence assist device across a national radiology network](https://harrison.ai/insights-from-implementation-of-an-artificial-intelligence-assist-device-across-a-national-radiology-network/)
- [Successful implementation of a comprehensive CT Brain artificial intelligence assist device improves radiologist performance](https://harrison.ai/successful-implementation-of-a-comprehensive-ct-brain-artificial-intelligence-assist-device-improves-radiologist-performance/)
- [Tailoring radiologist behaviour by individualising F beta levels for predictions of an AI model](https://harrison.ai/tailoring-radiologist-behaviour-by-individualising-f-beta-levels-for-predictions-of-an-ai-model/)
- [Coach Conversations Podcast](https://harrison.ai/coach-conversations-podcast/)
- [How to Ace an Interview - Evolution Exchange Australia](https://harrison.ai/how-to-ace-an-interview-evolution-exchange-australia/)
- [Radiologist reporting productivity benefits from AI-assisted triage of CXR studies in clinical practice](https://harrison.ai/radiologist-reporting-productivity-benefits-from-ai-assisted-triage-of-cxr-studies-in-clinical-practice/)
- [Radiologist’s feedback post implementation of a comprehensive AI assist device for CXR across a large radiology network](https://harrison.ai/radiologists-feedback-post-implementation-of-a-comprehensive-ai-assist-device-for-cxr-across-a-large-radiology-network/)
- [Talking HealthTech: How will AI transform healthcare for millions of patients a day?](https://harrison.ai/talking-healthtech-how-will-ai-transform-healthcare-for-millions-of-patients-a-day/)
- [The Mentor with Mark Bouris – Dr Aengus Tran](https://harrison.ai/the-mentor-with-mark-bouris-dr-aengus-tran/)
- [Wild Hearts: Helping a million lives a day with Dr. Aengus Tran and Samantha Wong](https://harrison.ai/wild-hearts-helping-a-million-lives-a-day-with-dr-aengus-tran-and-samantha-wong/)
- [Talking Business with Leon Gettler – Dr Aengus Tran](https://harrison.ai/talking-business-with-leon-gettler-dr-aengus-tran/)
- [DealMakers with Alejandro Cremades – Dr Aengus Tran: delivering accurate healthcare](https://harrison.ai/dealmakers-with-alejandro-cremades-dr-aengus-tran-delivering-accurate-healthcare/)
- [Charting the potential of brain computed tomography deep learning systems](https://harrison.ai/charting-the-potential-of-brain-computed-tomography-deep-learning-systems/)
- [Diagnostic accuracy of a commercially available deep learning algorithm in supine chest radiographs following trauma](https://harrison.ai/diagnostic-accuracy-of-a-commercially-available-deep-learning-algorithm-in-supine-chest-radiographs-following-trauma/)
- [Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study.](https://harrison.ai/assessment-of-the-effect-of-a-comprehensive-chest-radiograph-deep-learning-model-on-radiologist-reports-and-patient-outcomes-a-real-world-observational-study/)
- [Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography](https://harrison.ai/do-comprehensive-deep-learning-algorithms-suffer-from-hidden-stratification-a-retrospective-study-on-pneumothorax-detection-in-chest-radiography/)
- [Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study](https://harrison.ai/effect-of-a-comprehensive-deep-learning-model-on-the-accuracy-of-chest-x-ray-interpretation-by-radiologists-a-retrospective-multireader-multicase-study/)
- [Chest radiographs and machine learning – past, present and future](https://harrison.ai/chest-radiographs-and-machine-learning-past-present-and-future/)
- [Designing effective artificial intelligence software.](https://harrison.ai/designing-effective-artificial-intelligence-software/)

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## Harrison News

- [Harrison.ai Announces Large-Scale AI Integration with Parkway Radiology to Enhance Patient Care in Singapore](https://harrison.ai/news/annalise-ai-announces-large-scale-ai-integration-with-parkway-radiology-to-enhance-patient-care-in-singapore/)
- [Leeds Teaching Hospitals NHS Trust partners with Annalise.ai and Newton’s Tree to Deliver Faster, Smarter Diagnosis](https://harrison.ai/news/leeds-teaching-hospitals-nhs-trust-partners-with-annalise-ai-and-newtons-tree-to-deliver-faster-smarter-diagnosis-2/)
- [Our Chest X-ray software to speed up diagnosis and improve patient care at Leeds](https://harrison.ai/news/our-chest-x-ray-software-to-speed-up-diagnosis-and-improve-patient-care-at-leeds/)
- [Harrison.ai Names Commercial Leader Josh Duncan as Chief Growth Officer, Americas](https://harrison.ai/news/harrison-ai-names-commercial-leader-josh-duncan-as-chief-growth-officer-americas-2/)
- [Bradford Teaching Hospitals welcomes Artificial Intelligence (AI) technology innovation in Radiology to improve patient care](https://harrison.ai/news/bradford-teaching-hospitals-welcomes-artificial-intelligence-ai-technology-innovation-in-radiology-to-improve-patient-care-2/)
- [Optimising Lung Screening with AI: Lungscreen Australia](https://harrison.ai/news/bradford-teaching-hospitals-welcomes-artificial-intelligence-ai-technology-innovation-in-radiology-to-improve-patient-care-copy/)
- [Harrison.ai secures US$112 million in Series C funding round.](https://harrison.ai/news/harrison-ai-secures-us112-million-in-series-c-funding-round/)
- [Radboud University Medical Center Leads Innovation, Integrates AI-powered Radiology for Enhanced Patient Care](https://harrison.ai/news/radboud-university-medical-center-leads-innovation-integrates-ai-powered-radiology-for-enhanced-patient-care/)
- [Harrison.ai launches world-leading AI model to transform healthcare](https://harrison.ai/news/harrison-ai-launches-world-leading-ai-model-to-transform-healthcare/)
- [Reimagining medical AI with the most powerful large multimodal foundational model designed to excel in radiology](https://harrison.ai/news/reimagining-medical-ai-with-the-most-powerful-large-multimodal-foundational-model-designed-to-excel-in-radiology/)
- [Medicare New Technology Add-on Payment (NTAP) granted](https://harrison.ai/news/annalise-ai-granted-medicare-new-technology-add-on-payment-ntap/)
- [Transformational AI diagnostic tool made available to radiologists in over 40 NHS trusts.](https://harrison.ai/news/transformational-ai-diagnostic-tool-made-available-to-radiologists-in-over-40-nhs-trusts-4/)
- [Sunway Medical Centre Teams Up with AI to Improve Patient Care in Malaysia](https://harrison.ai/news/sunway-medical-centre-teams-up-with-annalise-ai-to-improve-patient-care-in-malaysia/)
- [Bradford Teaching Hospitals welcomes Artificial Intelligence (AI) technology innovation in Radiology to improve patient care](https://harrison.ai/news/bradford-teaching-hospitals-welcomes-artificial-intelligence-ai-technology-innovation-in-radiology-to-improve-patient-care/)
- [Soliton IT and Annalise.ai Join Forces to Transform NHS Radiology with Integrated Solutions](https://harrison.ai/news/soliton-it-and-annalise-ai-join-forces-to-transform-nhs-radiology-with-integrated-solutions/)
- [Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust collaborates with annalise.ai to enhance diagnostic services](https://harrison.ai/news/doncaster-and-bassetlaw-teaching-hospitals-nhs-foundation-trust-collaborates-with-annalise-ai-to-enhance-diagnostic-services/)
- [“AI Hub powered by Microsoft” launch – insights from our Head of AI Engineering](https://harrison.ai/news/ai-hub-powered-by-microsoft-launch-insights-from-our-head-of-ai-engineering/)
- [Blackford Partnership to Enhance Decision Support for Chest and Head Pathologies](https://harrison.ai/news/blackford-brings-on-annalise-ai-to-enhance-decision-support-for-chest-and-head-pathologies/)
- [Harrison.ai and Annalise.ai unite as one company to accelerate global growth](https://harrison.ai/news/harrison-ai-and-annalise-ai-unite-as-one-company-to-accelerate-global-growth/)
- [Augmented Radiology Services at Gleneagles Hospital Hong Kong](https://harrison.ai/news/annalise-ai-augments-radiology-services-at-gleneagles-hospital-hong-kong/)
- [AGSM Education and AI Innovation: Dimitry Tran’s path to redefining healthcare at Harrison.ai](https://harrison.ai/news/agsm-education-and-ai-innovation-dimitry-trans-path-to-redefining-healthcare-at-harrison-ai/)
- [Are we at the global tipping point of healthcare?](https://harrison.ai/news/are-we-at-the-global-tipping-point-of-healthcare/)
- [Raleigh Radiology plans to enhance Patient Care leveraging AI](https://harrison.ai/news/raleigh-radiology-plans-to-enhance-patient-care-leveraging-annalises-ai/)
- [Mass General Brigham collaboration to deploy, develop and research AI imaging tools](https://harrison.ai/news/mass-general-brigham-and-annalise-ai-collaborate-to-deploy-develop-and-research-ai-imaging-tools/)
- [Avreo and Annalise.ai partner to transform radiology triage](https://harrison.ai/news/avreo-and-annalise-ai-partner-to-transform-radiology-triage/)
- [New reporting feature unveiled at RSNA in a move towards developing comprehensive draft radiology reports](https://harrison.ai/news/annalise-ai-unveils-a-new-reporting-feature-at-rsna-in-a-move-towards-developing-comprehensive-draft-radiology-reports/)
- [Global Radiology: 6 key challenges & how AI can help](https://harrison.ai/news/global-radiology-6-key-challenges-how-ai-can-help/)
- [The most comprehensive radiology triage suite for chest X-rays and head CTs launched in the U.S.](https://harrison.ai/news/annalise-ai-launches-the-most-comprehensive-radiology-triage-suite-for-chest-x-rays-and-head-cts-in-the-u-s/)
- [From 1308 – 2023: Where AI started & where we’re going](https://harrison.ai/news/from-1308-2023-where-ai-started-where-were-going/)
- [Annalise.ai named as supplier on the Crown Commercial Service’s (CCS) Artificial Intelligence Agreement](https://harrison.ai/news/annalise-ai-named-as-supplier-on-the-crown-commercial-services-ccs-artificial-intelligence-agreement/)
- [User Interface Design recognised as ‘Best in Class’ in prestigious Good Design Australia Awards](https://harrison.ai/news/user-interface-design-recognised-as-best-in-class-in-prestigious-good-design-australia-awards/)
- [annalise.ai Receives FDA Clearance and Breakthrough Device Designation](https://harrison.ai/news/annalise-ai-receives-fda-clearance-and-breakthrough-device-designation/)
- [Annalise Enterprise CTB now CE marked as class IIb and approved for clinical use in Europe](https://harrison.ai/news/annalise-enterprise-ctb-now-ce-marked-as-class-iib-and-approved-for-clinical-use-in-europe/)
- [Millions Podcast: Mikiko Bazeley, Head of MLOps at Featureform](https://harrison.ai/news/millions-podcast-mikiko-bazeley-head-of-mlops-at-featureform/)
- [Harrison.ai Welcomes Robyn Denholm As Board Director](https://harrison.ai/news/harrison-ai-welcomes-robyn-denholm-as-board-director/)
- [Opinion: The future of AI](https://harrison.ai/news/opinion-the-future-of-ai/)
- [Millions Podcast: How Airtasker is powering connection with AI and ML](https://harrison.ai/news/millions-podcast-how-airtasker-is-powering-connection-with-ai-and-ml/)
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