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The Promise of AI & ML in Healthcare 2020: Opportunities, Challenges & Vendor Landscape – ResearchAndMarkets.com – Maryville Daily Times

DUBLIN–(BUSINESS WIRE)–Mar 24, 2020–The report, The Promise of AI/ML in Healthcare, is the most comprehensive report published on this rapidly evolving market with nearly 120 vendors discussed. The report explores opportunities, trends, and the rapidly evolving landscape for vendors, tracing the evolution from early artificial intelligence/machine learning (AI/ML) use in medical imaging to today’s rich array of vendor solutions in medical imaging, business operations, clinical decision support, research and drug development, patient-facing applications, and more.The report also reviews types and applications of AI/ML, explores the substantial challenges of health data collection and use, and considers issues of bias in algorithms, ethical and governance considerations, cybersecurity, and broader implications for business.The market today can be divided into five separate categories based on the need being addressed by AI/ML: Hospital operations, Population health management, Clinical decision support, Research and drug development, and Consumer facing tools. Each of these categories is explored on its own and in the greater context of market forces that are driving innovation and adoption of these tools.Provider organizations will find this report offers deep insight into current and forthcoming solutions that can help support business operations, population health management, and clinical decision support. Current and prospective vendors of AI/ML solutions and their investors will find this report’s overview of the current market valuable in mapping their own product strategy. Researchers and drug developers will benefit from the discussion of current AI/ML applications and future possibilities in precision medicine, clinical trials, drug discovery, and basic research.Key Topics Covered:EXECUTIVE SUMMARY1. KEY TAKEAWAYS2. WHY AI/ML NOW?Health Data and AITypes of AI/MLFirst Movers in Healthcare3. AI IN HEALTHCARE: BURGEONING OPPORTUNITIES, COUNTLESS VENDORS HOSPITAL OPERATIONSRevenue Cycle Management (RCM)FraudAdministration and Supply ChainPatient Safety4. POPULATION HEALTH MANAGEMENTRisk StratificationPopulation/Care Management ToolsPatient Engagement5. CLINICAL DECISION SUPPORT (CDS)Clinical DocumentationMedical Imaging and Pathology6. EHR VENDORS’ AI SOLUTIONS RESEARCH, DRUG DEVELOPMENT, AND DISCOVERYPrecision Medicine7. PATIENT/CONSUMER-FACING APPLICATIONSLaboratory TestingSubstance Abuse and Mental HealthPatient Bots and Symptom CheckersVoice AssistantsWearables8. EVOLUTION OF THE MARKETCurrent Market Trends and Real-World AdoptionBifurcation in the MarketAI in the Cloud9. CONCLUSIONS AND RECOMMENDATIONSLaura Wood, Senior Press ManagerFor E.S.T Office Hours Call 1-917-300-0470For U.S./CAN Toll Free Call 1-800-526-8630For GMT Office Hours Call +353-1-416-8900INDUSTRY KEYWORD: TECHNOLOGY HEALTH OTHER TECHNOLOGY OTHER HEALTHSOURCE: Research and MarketsCopyright Business Wire 2020.PUB: 03/24/2020 12:00 PM/DISC: 03/24/2020 12:01 PM
Source: https://www.thedailytimes.com/business/the-promise-of-ai-ml-in-healthcare-opportunities-challenges-vendor/article_97e220c6-9570-5c80-9ac6-05fb1956492b.html