# Multimodal AI * **Definition:** A type of artificial intelligence that can simultaneously manage various data types from different sources, such as text, images, audio, and video, to enhance performance and accuracy in healthcare applications, including medical imaging and analysis. * **Taxonomy:** CTO Topics / Multimodal AI ## News * Selected news on the topic of **Multimodal AI**, for healthcare technology leaders * 4.6K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/19/2025 | [**Microsoft Launches Healthcare Agent Orchestrator**](https://hitconsultant.net/2025/05/19/microsoft-launches-healthcare-agent-orchestrator/) | [[HIT Consultant]] | | 5/11/2025 | [**Multimodal AI system improves lung cancer screening accuracy**](https://www.news-medical.net/news/20250511/Multimodal-AI-system-improves-lung-cancer-screening-accuracy.aspx) | [[News Medical Net]] | | 4/8/2025 | [**Multimodal AI Research Report 2025: Market to Grow by Over $25 Billion by 2034**](https://finance.yahoo.com/news/multimodal-ai-research-report-2025-151300716.html) | [[Yahoo Finance]] | | 4/8/2025 | [**How Multimodal AI Agents Could Transform Healthcare Relationships - LinkedIn**](https://www.linkedin.com/pulse/how-multimodal-ai-agents-could-transform-healthcare-leo-barella-lst6f) | [[Linkedin]] | | 4/7/2025 | [**Multimodal AI Research Report 2025: Market to Grow by Over $25 Billion by 2034 - Opportunity, Growth Drivers, Industry Trend Analysis, and Forecasts**](https://uk.finance.yahoo.com/news/multimodal-ai-research-report-2025-151300173.html) | [[Yahoo Finance UK]] | | 3/18/2025 | [**Multimodal AI Market is expected to generate a revenue of USD 15.89 Billion by 2032 ...**](https://finance.yahoo.com/news/multimodal-ai-market-expected-generate-141500647.html) | [[Yahoo Finance]] | | 3/3/2025 | [**Google Cloud Enhances Vertex AI Search for Healthcare with Multimodal AI - PR Newswire**](https://www.prnewswire.com/news-releases/google-cloud-enhances-vertex-ai-search-for-healthcare-with-multimodal-ai-302388639.html) | [[PR Newswire]] | | 2/14/2025 | [**NAVER D2SF Invests in "STUDIO LAB," an AI-Powered E-Commerce Content Generation Startup**](https://www.prnewswire.com/news-releases/naver-d2sf-invests-in-studio-lab-an-ai-powered-e-commerce-content-generation-startup-302375670.html) | [[PR Newswire]] | | 2/14/2025 | [**Stial Acquires 6D Force Sensor Innovator STFcore, Unveils World's First Humanoid Robot ...**](https://finance.yahoo.com/news/stial-acquires-6d-force-sensor-063500598.html) | [[Yahoo Finance]] | | 2/14/2025 | [**GPTBots.ai Launches Advanced Audio LLM Capabilities, Paving the Way for ... - Yahoo Finance**](https://finance.yahoo.com/news/gptbots-ai-launches-advanced-audio-100000115.html) | [[Yahoo Finance]] | | 2/10/2025 | [**Launching the Trustworthy and Responsible AI Network (TRAIN) A Consortium to Facilitate ...**](https://jamanetwork.com/journals/jama/articlepdf/2830340/jama_emb_2025_vp_250019_1738942291.693.pdf) | [[JAMA Network]] | | 1/1/2025 | [**Top AI Trends and Innovations of 2024 - LinkedIn**](https://www.linkedin.com/pulse/top-ai-trends-innovations-2024-yuri-quintana-phd-facmi-lenme) | [[Linkedin]] | | 11/13/2024 | [**Data Connectivity And Multimodal AI For Enterprise Growth - Forbes**](https://www.forbes.com/councils/forbestechcouncil/2024/11/13/data-connectivity-and-multimodal-ai-for-enterprise-growth/) | [[Forbes]] | | 11/5/2024 | [**Multimodal AI in Health: How New AI Models Are Transforming Diagnostics and ... - Medium**](https://medium.com/@jamesasantana/multimodal-ai-in-health-how-new-ai-models-are-transforming-diagnostics-and-streamlining-446812fa04d3) | [[Medium]] | | 10/18/2024 | [**Addressing Trust and Privacy Concerns to Support Full-Scale AI Adoption in Healthcare**](https://healthtechmagazine.net/article/2024/10/addressing-trust-and-privacy-concerns-support-full-scale-ai-adoption-healthcare) | [[HealthTech Magazine]] | | 9/4/2024 | [**Excitement around AI remains hot as health system leaders cite early successes, survey finds**](https://www.fiercehealthcare.com/ai-and-machine-learning/top-mind-survey-ai-reigns-tech-supreme-fourth-year-row) | [[FierceHealthcare]] | | 8/29/2024 | [**AI Revolution: Transforming Industries and Shaping the Future - CIOReview**](https://www.cioreview.com/news/ai-revolution-transforming-industries-and-shaping-the-future-nid-40137-cid-244.html) | [[CIO Review]] | | 8/14/2024 | [**Multimodal AI Impacts Retail From Voice Assistants to Checkout-Free Shopping**](https://www.pymnts.com/artificial-intelligence-2/2024/multimodal-ai-impacts-retail-from-voice-assistants-to-checkout-free-shopping/) | [[PYMTScom]] | | 8/13/2024 | [**5 Key Providers Taking Precision Medicine into the Cloud**](https://www.insideprecisionmedicine.com/topics/precision-medicine/5-key-providers-taking-precision-medicine-into-the-cloud/) | [[Inside Precision Medicine]] | | 7/26/2024 | [**Mass General, UW Health Working With Microsoft on Medical Imaging AI**](https://www.hcinnovationgroup.com/imaging/artificial-intelligence/news/55128823/mass-general-uw-health-working-with-microsoft-on-medical-imaging-ai) | [[Healthcare Innovation]] | | 7/25/2024 | [**Microsoft collaborates with Mass General Brigham and University of Wisconsin–Madison to ...**](https://news.microsoft.com/2024/07/24/microsoft-collaborates-with-mass-general-brigham-and-university-of-wisconsin-madison-to-further-advance-ai-foundation-models-for-medical-imaging/) | news.microsoft.com | | 7/25/2024 | [**GE HealthCare announces strategic partnership with AWS to build AI models**](https://www.mobihealthnews.com/news/ge-healthcare-announces-strategic-partnership-aws-build-ai-models) | [[MobiHealthNews]] | | 7/24/2024 | [**Microsoft collaborates with Mass General Brigham and University of Wisconsin-Madison to ...**](https://www.prnewswire.com/news-releases/microsoft-collaborates-with-mass-general-brigham-and-university-of-wisconsin-madison-to-further-advance-ai-foundation-models-for-medical-imaging-302204990.html) | [[PR Newswire]] | | 7/24/2024 | [**Microsoft, Mass General Brigham & UW Health to Advance GenAI in Medical Imaging**](https://hitconsultant.net/2024/07/24/microsoft-mass-general-brigham-uw-health/) | [[HIT Consultant]] | | 7/17/2024 | [**Data Privacy in Healthcare: Balancing Innovation with Patient Security**](https://www.healthcareittoday.com/2024/07/17/data-privacy-in-healthcare-balancing-innovation-with-patient-security/) | [[Healthcare IT Today]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Meta**: A tech giant involved in creating multimodal AI systems that process various data types. - **OpenAI**: Known for its advanced AI models, contributing to the development of multimodal AI technologies. - **BioAI**: Collaborating with Genomic Testing Cooperative to enhance biomarker discovery using multimodal AI. - **ApertureData**: Developing a purpose-built database for multimodal AI to address data management challenges. - **Amazon**: A major technology company investing in multimodal AI to enhance retail experiences and healthcare applications. - **Microsoft**: A leading technology company collaborating with healthcare institutions to develop advanced multimodal AI models for medical imaging. - **Google**: A major tech company that has developed multimodal AI models like Gemini and Veo, enhancing capabilities in healthcare and other sectors. - **Twelve Labs**: A video understanding company specializing in multimodal video foundation models, recently invested in by SK Telecom to enhance AI applications. - **Los Alamos National Laboratory**: A national laboratory focused on scientific research, collaborating with OpenAI to assess the effectiveness of multimodal AI in laboratory tasks. - **Accenture**: Investing in biotechnology firms like 1910 Genetics to enhance drug discovery using multimodal AI. - **Aidoc**: A company developing guidelines for AI integration in healthcare, focusing on overcoming barriers to AI adoption. - **Mayo Clinic**: Partnering with Microsoft to develop generative AI models that enhance patient care and diagnostic accuracy. - **Commure**: Developing and implementing ambient AI platforms to improve clinical workflows and reduce administrative burdens. - **Careverse**: A company specializing in multimodal imaging AI to improve patient care and diagnostic accuracy. - **Artera**: A company utilizing multimodal AI for cancer treatment strategies, recently licensed to offer its ArteraAI prostate test. - **Nuance**: A technology provider whose solutions are integrated into Microsoft's AI applications for healthcare. - **Mass General Brigham**: A healthcare system partnering with Microsoft to enhance radiology through multimodal AI applications. - **John Snow Labs**: Developed Automated Responsible AI Testing Capabilities for evaluating AI models in healthcare. ### Partnerships and Collaborations - **Microsoft and Mass General Brigham**: Developing multimodal AI foundation models focused on radiology to improve medical image interpretation and clinical workflows. - **Akso Health and DeepSeek**: Integrating DeepSeek's multimodal AI technology to enhance AI-powered medical consultations. - **Mass General Brigham and University of Wisconsin**: Collaborating with Microsoft to develop multimodal AI foundation models for medical imaging. - **Accenture and 1910 Genetics**: Combining expertise to accelerate drug discovery through multimodal AI. - **BioAI and Genomic Testing Cooperative**: Aiming to leverage imaging data for AI algorithm training to improve diagnostics. - **Monash University and Apollo Hospitals**: Collaborating to validate clinical AI projects using a vast database of health data. - **Aidoc and NVIDIA**: Co-developing the BRIDGE guideline to facilitate AI integration in healthcare. - **SK Telecom and Twelve Labs**: Investing in multimodal AI applications to improve security and public safety through advanced video understanding technologies. - **Microsoft and University of Wisconsin**: Working together to create AI applications that assist in disease classification and data analysis. - **Mayo Clinic and Microsoft**: Collaborating to integrate multimodal data from radiology and genomics to enhance clinical diagnosis. - **K Health and Mayo Clinic**: Collaborating to develop an AI-enabled solution for cardiac care. - **GE HealthCare and AWS**: Developing generative AI applications to enhance patient care and streamline diagnostics. - **Commure and HCA Healthcare**: Developing an ambient AI platform to improve healthcare documentation and patient visit processes. - **K Health and Cedars-Sinai**: Partnered to enhance virtual care options using AI technology. - **Abridge and Christus Health**: Implementing AI technology to enhance clinician well-being and reduce documentation time. - **DeepHealth and Ketryx**: Partnering to enhance AI-powered health informatics solutions, leveraging cloud-native systems for operational efficiency. - **Google Cloud and MEDITECH**: Collaborating to develop AI-powered search capabilities in Expanse EHR for improved information retrieval. - **OpenAI and Los Alamos National Laboratory**: Collaborating to evaluate GPT-4o's capabilities in laboratory settings, focusing on enhancing bioscientific research. - **NIH and South Dakota State University**: Working together on AI research to identify health disparities and predict diseases. ### Innovations, Trends, and Initiatives - **Multimodal AI Models**: Integrating diverse data sources (text, images, audio, video) to improve healthcare insights and disease predictions. - **Multimodal AI in Healthcare**: The integration of multimodal AI technologies is transforming health coaching, diagnostics, and patient monitoring, enabling personalized insights and improved outcomes. - **Growth of Multimodal AI**: The multimodal AI market is projected to grow at a CAGR of around 30% from 2024 to 2032, with applications expanding across healthcare and other industries. - **Focus on Drug Discovery**: Multimodal AI is being utilized to enhance drug discovery processes by identifying complex patterns and predicting drug effectiveness. - **Advancements in AI Models**: Companies like Google and Microsoft are developing advanced multimodal AI models that integrate various data types to improve healthcare delivery. - **uAI PLUS Platform by UII**: Integrates various medical AI models to improve clinical workflows. - **Data Fusion Techniques**: Combining different data modalities into unified models for better diagnostic accuracy. - **Generative AI**: Utilizing advanced algorithms to create new content, impacting healthcare through improved patient interactions. - **AI-Driven Drug Development**: AI modeling and simulation are reducing the time needed to identify and develop drug candidates, showcasing a paradigm shift in pharmaceutical research. - **BRIDGE Guideline**: A comprehensive framework aimed at addressing fragmentation and operational inefficiencies in AI adoption. - **Generative AI in Clinical Settings**: AI models like GPT-4V are being tested for their diagnostic capabilities, showing promise but also limitations in reasoning and image description. - **Virtualist Model**: Emerging physician archetype utilizing clinical AI tools to enhance patient access and reduce wait times. - **Ambient AI**: Gaining traction for documenting patient encounters and reducing clinician burnout. - **Hamilton and Amabel James Center for AI and Human Health**: New AI research center at Mount Sinai to support AI integration in patient care. - **Generative AI for Clinical Documentation**: AI-powered Ambient Clinical Documentation aims to alleviate the burden of manual note-taking, enhancing clinician focus on patient care. - **Generative AI in Healthcare**: Predicted increased integration of generative AI in health information systems and drug discovery. - **AI Medical Scribes Market**: Expected consolidation as ambient AI technologies enhance primary care. - **Automated Responsible AI Testing by John Snow Labs**: A no-code tool for testing AI models in healthcare. ### Challenges and Concerns - **Hesitance in Adoption**: Healthcare executives may be hesitant to fully embrace multimodal AI due to its emerging status and associated risks. - **Regulatory Frameworks**: Need for robust regulations to address challenges posed by adaptive AI systems. - **Limitations of Current AI Technology**: Despite high diagnostic accuracy, AI models struggle with explaining reasoning and describing medical images, highlighting the need for further development. - **Integration of AI Biomarkers**: Challenges in validating AI biomarkers for clinical practice, including cost-effectiveness evaluations and regulatory frameworks. - **Algorithmic Discrimination**: Risks of exacerbating health inequities if AI systems are not trained on diverse datasets. - **Fragmentation and Scalability Issues**: Healthcare systems face challenges in integrating AI tools effectively. - **Rapid Adoption Risks**: Concerns regarding privacy issues and potential errors in AI technologies, especially with non-text inputs like images. - **Skepticism Among Healthcare Professionals**: Mixed feelings regarding AI adoption, with some embracing it while others express concerns about reliability and ethical implications. - **Integration Challenges**: Effective change management is necessary for integrating AI into clinical care, requiring education and involvement of healthcare professionals. - **Regulatory Challenges**: Concerns over the integration of AI in clinical settings due to the need for compliance with healthcare regulations. - **Ethical Considerations**: The rise of AI technologies prompts discussions on ethical governance, transparency, and the potential risks associated with AI deployment in healthcare. - **Data Privacy and Security**: Concerns regarding the protection of patient data and algorithmic bias in AI applications. - **Data Privacy Issues**: The necessity to ensure patient data privacy while developing and deploying AI technologies. - **Clinical Research Verification**: Many AI solutions remain unverified by clinical research, leading to skepticism about their effectiveness. - **Explainability of AI Models**: Importance of understanding AI decisions in healthcare for patient safety and trust. - **Regulatory Oversight**: Lack of regulatory oversight raises concerns about patient safety due to untested algorithms in AI technologies. - **Ethical Concerns**: There are ongoing concerns about the ethical use of AI in healthcare, particularly regarding patient privacy and data security. - **Data Privacy**: Ensuring citizen privacy while connecting researchers with extensive datasets for AI applications.