{"product_id":"ai-for-medical-laboratory-scientists-artificial-intelligence-and-machine-learning-for-laboratory-medicine-paperback","title":"AI for Medical Laboratory Scientists: Artificial Intelligence and Machine Learning for Laboratory Medicine - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMaurice Alexander Marshall\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTransform Your Laboratory Practice with Artificial Intelligence and Machine Learning\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eClinical laboratories stand at the forefront of a technological revolution. Artificial intelligence is reshaping every aspect of laboratory medicine-from automated cell classification and predictive quality control to intelligent result interpretation and clinical decision support. Yet most laboratory professionals lack the knowledge needed to understand, implement, and optimize these powerful tools.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAI for Medical Laboratory Scientists: Artificial Intelligence and Machine Learning for Laboratory Medicine\u003c\/strong\u003e bridges this critical gap. This comprehensive textbook provides medical laboratory scientists, pathologists, laboratory directors, and medical technologists with practical, accessible guidance on AI applications across all laboratory disciplines.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eMaster AI fundamentals without programming knowledge.\u003c\/strong\u003e Learn essential concepts including machine learning, deep learning, and neural networks through laboratory-specific examples. Understand supervised versus unsupervised learning, training data requirements, algorithm validation, and performance metrics-all explained in plain language for non-programmers.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eExplore AI applications across laboratory disciplines.\u003c\/strong\u003e Discover how machine learning enhances clinical chemistry automation, digital pathology image analysis, hematology cell classification, microbiology pathogen identification, molecular diagnostics interpretation, and laboratory informatics optimization. Each chapter provides detailed case studies demonstrating real-world implementations.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eImplement AI successfully in your laboratory.\u003c\/strong\u003e Follow step-by-step guidance covering readiness assessment, vendor evaluation, workflow integration, staff training, regulatory compliance (FDA, CLIA, CAP), validation protocols, and ongoing performance monitoring. Learn from detailed case studies highlighting both successes and failures.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eNavigate ethical and regulatory requirements.\u003c\/strong\u003e Understand FDA frameworks for AI medical devices, CLIA validation requirements, CAP accreditation standards, bias detection strategies, patient privacy considerations, and liability issues. Address algorithmic fairness and health equity concerns proactively.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003ePrepare for laboratory medicine's AI-enabled future.\u003c\/strong\u003e Explore emerging technologies including quantum computing, edge AI, and federated learning. Understand changing roles for laboratory professionals and identify career opportunities in AI-enabled laboratories.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat You'll Learn: \u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eAI and machine learning fundamentals explained for laboratory professionals\u003c\/p\u003e \u003cp\u003eAutomated result validation and intelligent delta check optimization\u003c\/p\u003e \u003cp\u003eDigital pathology with computer vision and convolutional neural networks\u003c\/p\u003e \u003cp\u003eMachine learning applications in hematology, microbiology, and molecular diagnostics\u003c\/p\u003e \u003cp\u003eLaboratory informatics, data analytics, and clinical decision support systems\u003c\/p\u003e \u003cp\u003eReal-time quality control and predictive maintenance strategies\u003c\/p\u003e \u003cp\u003eImplementation planning, vendor selection, and change management\u003c\/p\u003e \u003cp\u003eValidation methodologies, performance metrics, and bias detection\u003c\/p\u003e \u003cp\u003eRegulatory compliance including FDA, CLIA, and CAP requirements\u003c\/p\u003e \u003cp\u003ePractical project examples with step-by-step implementation guides\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWho This Book Is For: \u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eMedical laboratory scientists seeking AI literacy for career advancement. Laboratory directors evaluating AI implementations. Medical technologists updating technical skills. Pathologists integrating digital pathology systems. MLS\/MLT students preparing for AI-integrated practice. Laboratory managers optimizing workflows with machine learning. Clinical laboratory educators developing AI curriculum.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 232\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.49 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 01, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":44529054810247,"sku":"9781923604797","price":19.51,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/EEgOdk1mxw9781923604797.webp?v=1777104099","url":"https:\/\/booksby.splitshops.com\/products\/ai-for-medical-laboratory-scientists-artificial-intelligence-and-machine-learning-for-laboratory-medicine-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}