Wolterskluwer AI citations

Here are some of the best AI clinical decision support systems: 1. {{[[IBM Watson Health]]:https://www.ibm.com/watson-health}} : IBM Watson Health utilizes AI to analyze medical data and assist healthcare professionals in making informed decisions regarding patient care. 2. {{[[Epic Systems]]:https://www.epic.com}} : Epic's clinical decision support tools integrate with their electronic health records (EHR) to provide real-time recommendations and alerts based on patient data. 3. {{[[Cerner]]:https://www.cerner.com}} : Cerner offers a suite of AI-driven clinical decision support tools that help clinicians with evidence-based recommendations and patient management. 4. {{[[Allscripts]]:https://www.allscripts.com}} : Allscripts provides clinical decision support within its EHR solutions, leveraging AI to enhance patient care and streamline workflows. 5. {{[[Aidoc]]:https://www.aidoc.com}} : Aidoc focuses on radiology, using AI to assist radiologists in identifying critical conditions in medical imaging. 6. {{[[Zebra Medical Vision]]:https://www.zebra-med.com}} : Zebra Medical Vision offers AI algorithms that analyze medical imaging to provide insights and decision support for various conditions. 7. {{[[PathAI]]:https://pathai.com}} : PathAI develops machine learning technology to assist pathologists in diagnosing diseases more accurately and efficiently. 8. {{[[Google Health]]:https://health.google}} : Google Health is working on AI solutions that support clinical decision-making, particularly in diagnostics and patient management. 9. {{[[Tempus]]:https://www.tempus.com}} : Tempus uses AI to analyze clinical and molecular data to provide insights that help in personalized treatment decisions. 10. {{[[Freenome]]:https://www.freenome.com}} : Freenome employs AI for early cancer detection through blood tests, providing decision support for oncologists. These systems are designed to enhance clinical workflows, improve patient outcomes, and support healthcare professionals in their decision-making processes.

The best AI clinical decision support systems (CDSS) in 2025 include: - {{[[IBM Watson Health]]:https://wappnet.com/blog/top-7-ai-tools-revolutionizing-healthcare-in-2025/}}: A pioneer in AI clinical decision support, using natural language processing and machine learning to analyze unstructured medical data, especially strong in oncology and personalized medicine. - {{[[Aidoc]]:https://wappnet.com/blog/top-7-ai-tools-revolutionizing-healthcare-in-2025/}}: Specializes in real-time radiology alerts for critical conditions like brain bleeds and strokes, FDA-cleared, enhancing emergency and radiology workflows. - {{[[PathAI]]:https://www.keragon.com/blog/ai-tools-in-healthcare}}: Focuses on pathology slide analysis with deep learning to improve diagnostic accuracy, particularly in cancer detection, and supports biomarker discovery for clinical trials. - {{[[Tempus]]:https://binariks.com/blog/top-healthcare-ai-companies/}}: Uses AI on genomic and clinical data to guide precision oncology treatments, with a large clinical data library and expanding into cardiology and neurology. - {{[[Google Health MedGemma]]:https://wappnet.com/blog/top-7-ai-tools-revolutionizing-healthcare-in-2025/}}: A foundation model trained on radiology images and clinical text, capable of medical query responses and AI reasoning close to human-level interpretation. - {{[[Wolters Kluwer]]:https://themedicalpractice.com/tools/best-ai-solutions-in-healthcare/}}: Recognized as a top clinical decision support system, known for integrating evidence-based guidelines to assist clinical decisions. Additional notable mentions include: - {{[[Microsoft Cloud for Healthcare]]:https://themedicalpractice.com/tools/best-ai-solutions-in-healthcare/}}: Best for cloud integration supporting AI-driven healthcare workflows. - {{[[AlayaCare]]:https://www.ncbi.nlm.nih.gov/books/NBK613808/}}: Provides AI-enhanced remote patient monitoring and clinical documentation, improving outcomes in home care. These systems leverage AI for personalized treatment recommendations, real-time diagnostics, and workflow optimization, significantly improving clinical decision-making and patient outcomes in 2025[1][2][3][4][6][7][8].

Top AI clinical decision support systems include: 1. {{[[IBM Watson Health]]:https://www.ibm.com/watson-health}} : Offers advanced AI-powered diagnostic and treatment recommendation tools for healthcare providers. 2. {{[[Epic Systems]]:https://www.epic.com}} : Provides comprehensive EHR-integrated clinical decision support with AI-driven insights and predictive analytics. 3. {{[[Cerner]]:https://www.cerner.com}} : Delivers intelligent clinical guidance and evidence-based recommendations through machine learning algorithms. 4. {{[[Philips Healthcare]]:https://www.philips.com/healthcare}} : Develops AI-powered diagnostic support systems for radiology and precision medicine. 5. {{[[Wolters Kluwer]]:https://www.wolterskluwer.com}} : Offers UpToDate, a leading clinical decision support platform with AI-enhanced medical information. 6. {{[[Google Health]]:https://health.google}} : Develops AI tools for clinical prediction, risk stratification, and personalized healthcare recommendations. Key features of top systems include: - Real-time clinical guidance - Evidence-based recommendations - Predictive analytics - Integration with electronic health records - Machine learning-driven insights Factors to consider when selecting a system: - Specialty-specific capabilities - Integration ease - Cost - Regulatory compliance - User interface

Here are some of the best AI financial modeling software options available: 1. {{[[Microsoft Excel]]:https://www.microsoft.com/en-us/microsoft-365/excel}} : Excel is widely used for financial modeling, and with the integration of AI features like data insights and forecasting, it enhances traditional modeling capabilities. 2. {{[[Adaptive Insights]]:https://www.adaptiveinsights.com}} : This cloud-based financial planning software uses AI for predictive analytics and scenario modeling, making it easier for businesses to plan and forecast. 3. {{[[Anaplan]]:https://www.anaplan.com}} : Anaplan offers a connected planning platform that leverages AI for real-time data analysis and financial modeling, allowing for dynamic scenario planning. 4. {{[[IBM Planning Analytics]]:https://www.ibm.com/products/planning-analytics}} : This tool combines AI with planning and analytics, enabling users to create sophisticated financial models and forecasts. 5. {{[[Oracle NetSuite]]:https://www.netsuite.com}} : NetSuite provides a comprehensive suite that includes AI-driven financial modeling capabilities for better decision-making and forecasting. 6. {{[[CCH Tagetik]]:https://www.wolterskluwer.com/en/solutions/cch-tagetik}} : This software offers advanced analytics and AI features for financial planning, budgeting, and forecasting. 7. {{[[Qlik]]:https://www.qlik.com}} : Qlik's analytics platform uses AI to enhance data visualization and financial modeling, making it easier to derive insights from financial data. These tools incorporate AI capabilities to improve accuracy, efficiency, and insights in financial modeling processes.

The best AI financial modeling software includes: {{[[Otio]]:https://otio.ai/blog/ai-financial-modeling}}: An AI-native workspace designed for researchers and knowledge workers that helps generate AI-powered notes and actionable insights from large data sets. {{[[Microsoft Excel]]:https://otio.ai/blog/ai-financial-modeling}}: Widely used by finance professionals, Excel supports extensive formula options, pivot tables, and customizable plug-ins for complex financial modeling. {{[[Casual]]:https://otio.ai/blog/ai-financial-modeling}}: Focuses on visual financial modeling to help teams understand and communicate forecasts effectively. {{[[Anaplan]]:https://www.stack-ai.com/blog/ai-finance-tools}}: AI-powered financial planning platform that accelerates budgeting, forecasting, scenario modeling, and integrates financial with operational plans. {{[[BlackLine]]:https://www.stack-ai.com/blog/ai-finance-tools}}: Cloud software automating financial close processes with AI-driven workflows, including reconciliations and journal entries, designed for financial institutions. {{[[Abacum]]:https://www.abacum.ai/blog/best-financial-modeling-software-tools}}: Offers advanced modeling functionality with customization, collaboration features, and seamless integration, ideal for medium-to-large organizations. {{[[Fintool]]:https://www.alpha-sense.com/resources/research-articles/ai-tools-for-financial-research}}: AI tool specialized in automating financial research by analyzing SEC filings, earnings transcripts, and other financial documents with a conversational interface. {{[[Rillet]]:https://trullion.com/blog/the-five-best-ai-software-for-finance-and-accounting}}: AI-powered ERP for multi-entity finance teams that automates bank reconciliations, AR/AP workflows, cash forecasting, and supports multi-entity consolidations. Other notable mentions include {{[[Jirav]]:https://www.abacum.ai/blog/best-financial-modeling-software-tools}}, {{[[Cube]]:https://www.abacum.ai/blog/best-financial-modeling-software-tools}}, and {{[[Planful]]:https://www.abacum.ai/blog/best-financial-modeling-software-tools}}, which are recognized for scenario analysis, collaboration, and scalability in financial modeling. These tools vary in focus from pure financial modeling and forecasting to automation of financial processes and research, catering to different business sizes and needs[1][2][3][4][6].

Here are the top AI financial modeling software options: 1. {{[[Anaplan]]:https://www.anaplan.com}} : Leading enterprise-level AI-powered planning and modeling platform with advanced forecasting capabilities. 2. {{[[Alteryx]]:https://www.alteryx.com}} : Powerful predictive analytics and machine learning tool for financial modeling and data preparation. 3. {{[[Oracle Fusion Cloud]]:https://www.oracle.com/erp}} : Comprehensive AI-driven financial planning and analysis software with integrated machine learning. 4. {{[[Workday Adaptive Planning]]:https://www.workday.com}} : Cloud-based financial modeling solution with AI-enhanced forecasting and scenario modeling. 5. {{[[IBM Planning Analytics]]:https://www.ibm.com/products/planning-analytics}} : Advanced AI-powered financial modeling software with predictive capabilities and machine learning integration. 6. {{[[Prophix]]:https://www.prophix.com}} : Corporate performance management software with AI-driven financial modeling and budgeting tools. 7. {{[[DataRobot]]:https://www.datarobot.com}} : Enterprise AI platform with strong financial modeling and predictive analytics features. Each platform offers unique strengths, so selection depends on specific business needs, budget, and complexity of financial modeling requirements.

Here are some of the best AI tax preparation software options for firms: 1. {{[[Intuit ProConnect]]:https://proconnect.intuit.com}} : This software offers advanced AI features for tax preparation, including automated data entry and document management, making it suitable for accounting firms. 2. {{[[Xero Tax]]:https://www.xero.com}} : Xero Tax provides a cloud-based solution with AI capabilities that streamline the tax filing process and enhance collaboration between accountants and clients. 3. {{[[Drake Tax]]:https://www.drakesoftware.com}} : Known for its comprehensive features, Drake Tax incorporates AI tools to assist with data import and error detection, catering specifically to tax professionals. 4. {{[[TaxSlayer Pro]]:https://www.taxslayerpro.com}} : This software offers AI-driven features for tax preparation, including e-filing and client management tools, designed for firms of all sizes. 5. {{[[H&R Block Business]]:https://www.hrblock.com}} : H&R Block's software includes AI tools that help automate tax calculations and optimize deductions, making it a solid choice for tax firms. 6. {{[[CCH Axcess Tax]]:https://www.cchgroup.com}} : This cloud-based tax software integrates AI to improve efficiency in tax compliance and reporting for accounting firms. 7. {{[[Thomson Reuters UltraTax CS]]:https://tax.thomsonreuters.com}} : UltraTax CS uses AI to enhance tax preparation workflows, offering features like client collaboration and automated data entry. These software solutions leverage AI to improve accuracy, efficiency, and client service in tax preparation for firms.

The best AI tax preparation software for firms in 2025 includes: - {{[[TXF Intelligence by Taxfyle]]:https://www.taxfyle.com/txf-blog/top-ai-tax-tools-cpa-deduction-finder}}: A top-tier AI tool tailored for accounting firms focusing on IRS compliance and operational excellence. It automates data extraction, verifies client documents, and integrates with existing tax software, significantly reducing manual data entry[1]. - {{[[TaxDome]]:https://www.netgain.tech/blog/ai-accounting-software}}: Automates repetitive tasks like client communication, document sorting, and transaction categorization with AI-powered reporting and document management, plus a secure client portal[2]. - {{[[Intuit ProConnect Tax Online]]:https://winsomemarketing.com/professional-services-marketing/ai-powered-tax-software-23-platforms-reviewed}}: Best for mid-size to large firms, offering comprehensive AI integration but with a higher cost and learning curve[3]. - {{[[Drake Tax]]:https://winsomemarketing.com/professional-services-marketing/ai-powered-tax-software-23-platforms-reviewed}}: Known for a familiar interface with practical AI applications, good for large firms handling complex returns[3]. - {{[[Thomson Reuters GoSystem Tax RS]]:https://tax.thomsonreuters.com/blog/the-best-tax-software-for-tax-preparers-a-buyers-guide/}}: Excels in handling complex, high-volume returns with cloud-based collaboration and extensive calculation capabilities, ideal for enterprise-level clients[5]. - {{[[SafeSend]]:https://tax.thomsonreuters.com/blog/the-best-tax-software-for-tax-preparers-a-buyers-guide/}}: Offers automated assembly, secure e-signing, and workflow transparency for a seamless client experience[5]. - {{[[Sphere]]:https://www.getsphere.com/blog/best-ai-tax-software}}: Focuses on global indirect tax compliance using a proprietary AI model (TRAM) to continuously interpret tax laws across jurisdictions, ideal for global businesses[4]. Additional notable AI tools assisting firms include {{[[Vic.ai]]:https://www.rightworks.com/blog/best-ai-resources/}} for accounts payable automation and {{[[SmartVault Accounting Pro]]:https://www.rightworks.com/blog/best-ai-resources/}} for streamlining client workflows[6]. These platforms vary by firm size, complexity of returns, and specific AI capabilities, from document automation and compliance to advanced tax strategy and client collaboration.

Here are the top AI-powered tax preparation software solutions for firms: 1. {{[[Intuit ProConnect]]:https://proconnect.intuit.com/}} : Leading professional tax software with advanced AI-driven features for accounting firms and tax professionals. 2. {{[[Drake Software]]:https://www.drakesoftware.com/}} : Offers robust AI-assisted tax preparation with comprehensive business and individual tax solutions. 3. {{[[CCH ProSystem fx]]:https://www.wolterskluwer.com/en/solutions/cch-prosystem-fx}} : Highly sophisticated tax preparation platform with intelligent workflow and AI-enhanced accuracy checks. 4. {{[[Lacerte Tax]]:https://www.intuit.com/tax-and-accounting/lacerte/}} : Powerful Intuit solution specifically designed for accounting firms with machine learning capabilities. 5. {{[[UltraTax CS]]:https://cs.thomsonreuters.com/us/products/ultratax-cs}} : Thomson Reuters software with advanced AI-driven tax preparation and research tools. Key selection criteria include AI accuracy, integration capabilities, cloud accessibility, pricing, and specialized features for different firm sizes and tax complexity levels.