# Musculoskeletal Radiology * **Definition:** Branch of radiology focusing on the diagnosis and treatment of injuries and diseases of the musculoskeletal system. * **Taxonomy:** Specialties / Musculoskeletal Radiology ## News * Selected news on the topic of **Musculoskeletal Radiology**, for healthcare technology leaders * 2.2K news items are in the system for this topic * Posts have been filtered for tech-related keywords | Date | Title | Source | | --- | --- | --- | | 12/19/2024 | [**Digital Radiography Market Global Outlook & Forecast Report 2024-2029, Featuring Profiles of Agfa-Gevaert, Canon, Fujifilm, GE Healthcare, Koninklijke Philips and Siemens Healthineers - ResearchAndMarkets.com**](http://www.businesswire.com/news/home/20241219482542/en/Digital-Radiography-Market-Global-Outlook-Forecast-Report-2024-2029-Featuring-Profiles-of-Agfa-Gevaert-Canon-Fujifilm-GE-Healthcare-Koninklijke-Philips-and-Siemens-Healthineers---ResearchAndMarkets.com/?feedref=JjAwJuNHiystnCoBq_hl-RLXHJgazfQJNuOVHefdHP-D8R-QU5o2AvY8bhI9uvWSD8DYIYv4TIC1g1u0AKcacnnViVjtb72bOP4-4nHK5ieT3WxPE8m_kWI77F87CseT) | [[Business Wire]] | | 12/18/2024 | [**Healthcare AI News 12/18/24**](https://histalk2.com/2024/12/18/healthcare-ai-news-12-18-24/) | [[HISTalk]] | | 12/18/2024 | [**VSee Health Awarded Teleradiology Services Agreement with Premier, Inc.**](http://www.businesswire.com/news/home/20241218912145/en/VSee-Health-Awarded-Teleradiology-Services-Agreement-with-Premier-Inc./?feedref=JjAwJuNHiystnCoBq_hl-RLXHJgazfQJNuOVHefdHP-D8R-QU5o2AvY8bhI9uvWSD8DYIYv4TIC1g1u0AKcacnnViVjtb72bOP4-4nHK5ieT3WxPE8m_kWI77F87CseT) | [[Business Wire]] | | 12/17/2024 | [**Public Trust in Biomedical Research in the Era of Artificial Intelligence: Opportunities and Challenges**](https://www.nih.gov/about-nih/what-we-do/science-health-public-trust/perspectives/public-trust-biomedical-research-era-artificial-intelligence-opportunities-challenges) | [[National Institutes of Health]] | | 12/11/2024 | [**Do AI Diagnostics have a role in telemedicine? What does this mean for healthcare equity?**](https://www.healthtechmagazines.com/do-ai-diagnostics-have-a-role-in-telemedicine-what-does-this-mean-for-healthcare-equity/) | [[Health Tech Magazines]] | | 12/4/2024 | [**Ketryx Announces DeepHealth Selected Its Software to Accelerate AI-Powered Health ...**](https://www.prnewswire.com/news-releases/ketryx-announces-deephealth-selected-its-software-to-accelerate-ai-powered-health-informatics-innovation-302321708.html) | [[PR Newswire]] | | 12/4/2024 | [**5 Leading AI Companies Transforming Healthcare - by Technology,Ai,Tech,Health,Fitness - Medium**](https://medium.com/@arijitghosh646/5-leading-ai-companies-transforming-healthcare-74da16f8585c) | [[Medium]] | | 12/4/2024 | [**Artificial intelligence tops 2025 health technology hazards list - Morningstar**](https://www.morningstar.com/news/pr-newswire/20241204dc71985/artificial-intelligence-tops-2025-health-technology-hazards-list) | [[Morningstar]] | | 11/29/2024 | [**Health IT Business News - November 29, 2024**](https://www.healthitanswers.net/health-it-business-news-november-29-2024/) | [[Health IT Answers]] | | 11/21/2024 | [**Need for Efficiency Drives Healthcare AI Market**](https://www.hcinnovationgroup.com/analytics-ai/artifical-intelligence-machine-learning/news/55245191/need-for-efficiency-drives-healthcare-ai-market) | [[Healthcare Innovation]] | | 11/14/2024 | [**AI in Healthcare Market to Grow by USD 20.34 Billion (2024-2028), Driven by ... - MarketWatch**](https://www.marketwatch.com/press-release/ai-in-healthcare-market-to-grow-by-usd-20-34-billion-2024-2028-driven-by-healthcare-digitization-ai-powered-report-highlights-market-transformation-technavio-ef87aa24) | [[MarketWatch]] | | 11/13/2024 | [**AI in Healthcare Market to Grow by USD 20.34 Billion (2024-2028), Driven by ... - PR Newswire**](https://www.prnewswire.com/news-releases/ai-in-healthcare-market-to-grow-by-usd-20-34-billion-2024-2028-driven-by-healthcare-digitization-ai-powered-report-highlights-market-transformation---technavio-302304148.html) | [[PR Newswire]] | | 10/11/2024 | [**Siloam Hospitals ramp up AI integrations and more partnership briefs - Healthcare IT News**](https://www.healthcareitnews.com/news/asia/siloam-hospitals-ramp-ai-integrations-and-more-partnership-briefs) | [[Healthcare IT News]] | | 10/7/2024 | [**Siloam Hospitals Group and Philips sign AI capability MoU to support Indonesia's ... - Morningstar**](https://www.morningstar.com/news/globe-newswire/1000995993/siloam-hospitals-group-and-philips-sign-ai-capability-mou-to-support-indonesias-healthcare-transformation-strategy) | [[Morningstar]] | | 9/26/2024 | [**Global Health Exhibition to Showcase Unique Advances in AI-Enabled Diagnostics and Patient Care**](https://www.prnewswire.com/news-releases/global-health-exhibition-to-showcase-unique-advances-in-ai-enabled-diagnostics-and-patient-care-302259884.html) | [[PR Newswire]] | | 8/14/2024 | [**Ai4 Conference - Day 1**](https://www.healthitanswers.net/ai4-conference-day-1/) | [[Health IT Answers]] | | 8/12/2024 | [**Quantum Health Appoints Dr. Stanley Crittenden as New Chief Medical Officer**](http://www.businesswire.com/news/home/20240812304065/en/Quantum-Health-Appoints-Dr.-Stanley-Crittenden-as-New-Chief-Medical-Officer/?feedref=JjAwJuNHiystnCoBq_hl-Q-tiwWZwkcswR1UZtV7eGe24xL9TZOyQUMS3J72mJlQ7fxFuNFTHSunhvli30RlBNXya2izy9YOgHlBiZQk2LOzmn6JePCpHPCiYGaEx4DL1Rq8pNwkf3AarimpDzQGuQ==) | [[Business Wire]] | | 7/27/2024 | [**AI in Healthcare: Transforming Diagnosis and Treatments - by Michelle Holt - Medium**](https://medium.com/@airecruitingconsultant/ai-in-healthcare-transforming-diagnosis-and-treatments-d5059df7f3d0) | [[Medium]] | | 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 | [**Artificial Intelligence - Healthcare IT News**](https://www.healthcareitnews.com/taxonomy/term/7341/m89gsv6dzcjz.jsp/page/130?type=video) | [[Healthcare IT News]] | | 7/24/2024 | [**Microsoft partners with Mass General Brigham, UW Health to advance AI models for radiology**](https://www.mobihealthnews.com/news/microsoft-partners-mass-general-brigham-uw-health-advance-ai-models-radiology) | [[MobiHealthNews]] | | 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]] | | 7/19/2024 | [**Digital Health Market size is set to grow by USD 1.06 billion from 2024-2028, Increase in the ...**](https://finance.yahoo.com/news/digital-health-market-size-set-183000472.html) | [[Yahoo Finance]] | | 7/19/2024 | [**Digital Health Market size is set to grow by USD 1.06 billion from 2024-2028, Increase in the ...**](https://www.prnewswire.com/news-releases/digital-health-market-size-is-set-to-grow-by-usd-1-06-billion-from-2024-2028--increase-in-the-number-of-m-and-a-activities-in-the-market-boost-the-market-technavio-302200521.html) | [[PR Newswire]] | | 6/26/2024 | [**AI in Healthcare News and Updates**](https://www.healthitanswers.net/ai-in-healthcare-news-and-updates-062624/) | [[Health IT Answers]] | ## Specialty Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Wake Radiology UNC REX Healthcare**: A prominent outpatient imaging provider in the Triangle area, known for its commitment to high-quality patient care and advanced imaging services. - **DRIVANNA**: A company focused on developing innovative musculoskeletal imaging systems, including the Accuro XV system. - **Radiology Partners (RP)**: A major player in radiology, focusing on AI-driven reporting tools to improve workflow and accuracy. - **Force Therapeutics**: Recognized for its digital health solutions in musculoskeletal care management, enhancing patient engagement through technology. - **Gleamer**: A company specializing in AI-powered imaging solutions, particularly known for its BoneView software that assists in identifying bone fractures. - **VSee Health**: A provider of teleradiology services aimed at improving access to imaging and reducing physician burnout. - **Akumin**: A leader in advanced imaging and radiation oncology, collaborating with United Imaging to enhance diagnostic precision. - **Maverick Medical AI**: A company partnering with NewVue.ai and RADPAIR to enhance radiology workflows and revenue cycle management. - **Dicom Systems**: A company that processes medical images and optimizes workflows for healthcare organizations. - **Ketryx**: A platform enhancing the delivery of AI-powered health informatics solutions in radiology. - **Blackford**: Provider of radiology and operational AI solutions, offering a robust AI platform with over 130 applications aimed at improving clinical efficiency and patient outcomes. - **GE HealthCare**: A major player in medical imaging technology, focusing on innovations in radiology and AI applications. - **Bayer**: A pharmaceutical and life sciences company advancing medical imaging solutions and AI technology in radiology. - **Konica Minolta Healthcare Americas**: A leader in medical diagnostic imaging technology, focusing on enhancing diagnostic capabilities through advanced imaging solutions. - **Siemens Healthineers**: A leading company in medical imaging and diagnostics, known for innovations in AI-driven imaging solutions. - **Philips**: Partnering with healthcare organizations to implement AI solutions in radiology and telemedicine. - **Microsoft**: Technology company collaborating with healthcare institutions to enhance AI applications in medical imaging, focusing on generative AI to improve workflow efficiencies. - **Fovia**: A provider of advanced visualization technology integrated into PACS systems to enhance diagnostic imaging capabilities. ### Partnerships and Collaborations - **DRIVANNA and UVA Health**: Collaboration for a multi-site study evaluating the Accuro XV musculoskeletal imaging system in emergency departments. - **Radiology Partners and RADPAIR**: A strategic partnership to co-develop AI-driven reporting tools, enhancing radiologist workflow and addressing capacity challenges. - **Force Therapeutics**: Recognized for its digital platform that optimizes care management for musculoskeletal conditions, enhancing patient outcomes. - **Bayer and Subtle Medical**: Working together to leverage AI technology for improved radiology workflows. - **Mindray and TeleRay**: Partnership to enhance ultrasound imaging access through telehealth technology, improving operational efficiency in radiology. - **Maverick Medical AI, NewVue.ai, RADPAIR**: Strategic partnership to streamline radiology workflows and improve financial performance, showcased at RSNA 2024. - **Microsoft and Mass General Brigham**: Collaborating to enhance AI in medical imaging, focusing on generative AI to improve radiologists' workflow and accuracy. - **American College of Radiology and East Alabama Medical Center**: Collaboration to implement machine learning models for enhancing follow-up care for pulmonary patients. - **Konica Minolta and Gleamer**: A strategic partnership to integrate Gleamer's AI-powered BoneView solution into Konica Minolta's digital radiography offerings, enhancing diagnostic accuracy and workflow. - **Bayer and Alara Imaging**: Collaborating to address variability in radiation doses from CT scans, aiming to enhance patient safety and compliance with quality measures. - **Indiana Joint Replacement Institute and HOPCo**: Collaboration aimed at improving clinical operations through advanced data analytics and IT solutions. - **VSee Health and Premier, Inc.**: Secured a national group purchasing agreement for teleradiology services. - **Viz.ai and Microsoft**: Collaborated to enhance access to AI diagnostic imaging models and care coordination solutions. - **Washington University School of Medicine and BJC Health System**: Jointly established a Center for Health AI to enhance healthcare efficiency. - **Fovia and Konica Minolta**: Integrated advanced visualization technology into Konica Minolta's cloud-based Exa PACS. - **Bayer and Google Cloud**: Collaboration to develop an AI Innovation Platform for medical imaging applications. - **Siloam Hospitals and Philips**: Signed a memorandum to implement AI solutions in various medical fields. - **Mass General Brigham and other healthcare providers**: Evaluating AI models to address challenges in selecting effective generative AI tools for healthcare. - **Royal Philips and AWS**: Collaboration to provide Philips' integrated diagnostics portfolio in the cloud, enhancing healthcare efficiency. - **Ketryx and DeepHealth**: Ketryx enhances AI-powered health informatics solutions for DeepHealth, focusing on operational efficiency. ### Innovations, Trends, and Initiatives - **Accuro XV System**: A new musculoskeletal imaging system that combines ultrasound technology with AI for rapid detection of skeletal fractures and soft tissue injuries. - **Generative AI in Radiology**: Emerging trend focusing on using generative AI to assist radiologists, automate report generation, and improve disease classification accuracy. - **3D Printing in Radiology**: Advancements in 3D printing technology are improving personalized patient care by creating accurate anatomical models for diagnostics and surgical planning. - **AI-enhanced imaging modalities**: Innovations in MRI and CT scans improving diagnostic accuracy and efficiency. - **AI in Radiology**: The integration of AI technologies in radiology is enhancing diagnostic accuracy, reducing reading times, and improving workflow management. - **Teleradiology Growth**: The U.S. teleradiology market is expanding, driven by the need for quick and accurate diagnostic solutions, particularly in underserved areas. - **Telemedicine Growth**: The teleradiology market is projected to grow significantly, driven by demand for remote imaging solutions. - **AI-Enhanced Diagnostics**: AI is transforming diagnostics by analyzing medical images for conditions like fractures and cancer. - **Generative AI in Healthcare**: Generative AI is being explored for its potential to improve diagnostics and streamline workflows in radiology. - **Digital Radiography Market Growth**: The digital radiography market is projected to grow significantly, driven by the adoption of cloud-based solutions and advancements in imaging technologies. - **ISO 27001**: 2022 Certification: Deepc becomes the first Radiology AI platform to achieve this certification, enhancing information security management in healthcare. - **AI in Diagnostic Imaging**: The AI-enabled diagnostic imaging market is projected to grow significantly, enhancing accuracy and reducing analysis time in imaging modalities. - **AI Quality Assurance Program**: Initiative by the American College of Radiology to ensure governance, algorithm documentation, and performance monitoring in AI applications. - **AI4VBH Initiative**: A collaboration to accelerate the adoption of radiology AI in the NHS, providing access to regulatory-approved AI solutions. - **AI in Medical Imaging**: AI technologies are improving the precision and efficiency of medical imaging, aiding in accurate diagnoses. - **Ambient AI tools**: Increasing use in pediatric and geriatric care to enhance patient interaction and documentation. - **AI Innovation Lab by GE HealthCare**: Aims to accelerate early-stage AI innovations in medical devices and clinical workflows. - **Healthcare AI Challenge Collaborative**: Allows clinicians to test and compare AI offerings in simulated environments to improve decision-making. - **Generative AI**: Enabling the creation of new data and treatment plans, enhancing patient care and accelerating medical research. ### Challenges and Concerns - **Workload and Staffing Issues**: Radiologists face increasing workloads and a global shortage of staff, which complicates the delivery of timely and accurate diagnoses. - **Capacity Challenges in Radiology**: The need for innovative solutions to address capacity challenges faced by healthcare facilities in radiology. - **Overdiagnosis and Overtreatment**: Healthcare systems must balance the costs associated with advanced imaging techniques to avoid unnecessary procedures. - **Physician Burnout**: The decline in the number of radiologists has led to increased workloads, necessitating AI solutions to alleviate burnout and improve efficiency. - **Regulatory Hurdles**: Challenges remain regarding reimbursement models and regulatory restrictions for AI diagnostics. - **Interoperability Issues**: Lack of uniform standards for medical data and algorithms hinders system interoperability and data sharing, impacting AI adoption. - **Bias in AI Systems**: Potential biases in AI algorithms that could affect diagnostic accuracy and patient outcomes. - **Regulatory Compliance**: Need for robust regulatory frameworks to ensure the safe and effective use of AI in healthcare. - **Malpractice risks associated with AI**: Concerns among physicians regarding accountability and legal implications of AI usage in clinical settings. - **Clinician Burnout**: The integration of AI tools must address concerns about clinician workload and burnout. - **Integration Issues**: Challenges in integrating AI technologies into existing healthcare systems and workflows. - **Data Interoperability**: Issues with data interoperability hinder the broader deployment of AI in healthcare. - **Data Privacy**: Concerns regarding patient data privacy and the ethical use of AI in healthcare. - **Data quality and decision transparency**: Challenges highlighted by the House Task Force on AI in healthcare, affecting the implementation of AI solutions. - **Lack of standardized evaluation metrics**: Makes it difficult for providers to compare the efficacy of different AI tools in healthcare. - **Cybersecurity Risks**: As healthcare technology evolves, ensuring cybersecurity remains a critical concern. - **Privacy and Cybersecurity**: Concerns regarding the extensive patient data required by AI tools, prompting recommendations for policies to enhance consumer confidence. - **Standardization of AI Evaluation**: Lack of standardized evaluation metrics for AI tools in healthcare, making it difficult for providers to compare effectiveness. - **Data Security in AI**: Concerns regarding data security and management of generated data in the context of AI applications in healthcare. - **Bias in AI Models**: Studies indicate that AI models may rely on demographic shortcuts, raising concerns about fairness and clinical validity in diverse environments. ## Related Topics [[Radiology]]; [[Abdominal Radiology]]; [[Diagnostic Radiology]]