Diagnostic Quality Model (DQM): an integrated framework for the assessment of diagnostic quality when using AI/ML

Trastuzumab Deruxtecan in Previously Treated HER2-Low Advanced Breast Cancer

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Standards for Reporting Implementation Studies (StaRI) Statement

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Improving Diagnosis in Health Care

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Republished research: Implementation research: what it is and how to do it: Implementation research is a growing but not well understood field of health research that can contribute to more effective public health and clinical policies and programmes. This article provides a broad definition of implementation research and outlines key principles for how to do it

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Unintended consequences of machine learning in medicine

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Privacy and artificial intelligence: challenges for protecting health information in a new era

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Prostate cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up

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Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

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Application of explainable artificial intelligence for healthcare: a systematic review of the last decade (2011-2022)

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Multimodal machine learning in precision health: A scoping review

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Exploring the iceberg of errors in laboratory medicine

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The importance of being external. methodological insights for the external validation of machine learning models in medicine

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Technology readiness levels for machine learning systems

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Validation of digital pathology imaging for primary histopathological diagnosis

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Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis

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Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance

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Prostate cancer screening with prostate-specific antigen (PSA) test: a clinical practice guideline

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The effects of implementing synoptic pathology reporting in cancer diagnosis: a systematic review

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Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests

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Advantages and limitations of total laboratory automation: a personal overview

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A Rich Array of Prostate Cancer Molecular Biomarkers: Opportunities and Challenges

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The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics

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The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors

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Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom

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Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection

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Automation and artificial intelligence in the clinical laboratory

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FDA Approval Summary: Abemaciclib With Endocrine Therapy for High-Risk Early Breast Cancer

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Laboratory Diagnostics and Quality of Blood Collection / Laboratorijska Dijagnostika I Kvalitet Uzimanja Uzoraka Krvi

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Medical Diagnostic Tests: A Review of Test Anatomy, Phases, and Statistical Treatment of Data

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Machine learning in laboratory medicine: waiting for the flood?

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Synoptic Reporting: Evidence-Based Review and Future Directions

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Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling

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Quality checkpoints in the MRI-directed prostate cancer diagnostic pathway

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Evaluating Imaging and Computer-aided Detection and Diagnosis Devices at the FDA

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Assessing the Role of Artificial Intelligence (AI) in Clinical Oncology: Utility of Machine Learning in Radiotherapy Target Volume Delineation

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Unraveling Human Complexity and Disease With Systems Biology and Personalized Medicine

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Lean and Six Sigma as continuous quality improvement frameworks in the clinical diagnostic laboratory

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Imaging-Based Prediction of Molecular Therapy Targets in NSCLC by Radiogenomics and AI Approaches: A Systematic Review

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A Real-World US Study of Recurrence Risks using Combined Clinicopathological Features in HR-Positive, HER2-Negative Early Breast Cancer

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Agile Processes in Software Engineering and Extreme Programming

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Adversarial attacks against supervised machine learning based network intrusion detection systems

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The International Collaboration for Cancer Classification and Research

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Clinlabomics: leveraging clinical laboratory data by data mining strategies

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Variation in Research Designs Used to Test the Effectiveness of Dissemination and Implementation Strategies: A Review

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Artificial Intelligence in Medicine

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Harmonization and Standardization: Where Are We Now?

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Quality in laboratory diagnostics: from theory to practice

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Identification of human errors and influencing factors: A machine learning approach

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Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine

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Imaging-genomic pipeline for identifying gene mutations using three-dimensional intra-tumor heterogeneity features

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Clinical Utility of Genomic Testing in Cancer Care

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Flowing through laboratory clinical data: the role of artificial intelligence and big data

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Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories

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Selecting patients with HER2-low breast cancer: Getting out of the tangle

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How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using only laboratory data

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Professional implications of introducing artificial intelligence in healthcare: an evaluation using radiation medicine as a testing ground

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A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to Patients

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Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study

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Integration of artificial intelligence and plasma steroidomics with laboratory information management systems: application to primary aldosteronism

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CT imaging-based histogram features for prediction of EGFR mutation status of bone metastases in patients with primary lung adenocarcinoma

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Using artificial intelligence in a primary care setting to identify patients at risk for cancer: a risk prediction model based on routine laboratory tests

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COMMITTEE ON DIAGNOSTIC ERROR IN HEALTH CARE

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External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count

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Use of a Lean Six Sigma approach to investigate excessive quality control (QC) material use and resulting costs

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Computed Tomography Imaging Features and Distribution of Metastases in ROS1-rearranged Non–Small-cell Lung Cancer

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A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients

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Challenges and opportunities from the Agency for Healthcare Research and Quality (AHRQ) research summit on improving diagnosis: a proceedings review

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Tracking Progress in Improving Diagnosis: A Framework for Defining Undesirable Diagnostic Events

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The Case for Laboratory Developed Procedures

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A survey on Artificial Intelligence and Big Data utilisation in Italian clinical laboratories

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How Might Artificial Intelligence Applications Impact Risk Management?

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Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use

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Artificial Intelligence Approach for Variant Reporting

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Evaluating the Effectiveness of Diagnostic Tests

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Diagnostic Value of MAML2 Rearrangements in Mucoepidermoid Carcinoma

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Health Care Infrastructure for Financially Sustainable Clinical Genomics

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Standardization and harmonization in hematology: Instrument alignment, quality control materials, and commutability issue

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Privacy-Preserving Artificial Intelligence: Application to Precision Medicine

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Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review

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The harmonization issue in laboratory medicine: the commitment of CCLM

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NICE: a step forward in the quality of NHS care

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Abemaciclib: The First FDA-Approved CDK4/6 Inhibitor for the Adjuvant Treatment of HR+ HER2− Early Breast Cancer

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Has the STARD statement improved the quality of reporting of diagnostic accuracy studies published in European Radiology?

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Current status of clinical research using artificial intelligence techniques

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Everything is varied: The surprising impact of instantial variation on ML reliability

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Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals

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Bridging the Gap: The Critical Role of Regulatory Affairs and Clinical Affairs in the Total Product Life Cycle of Pathology Imaging Devices and Software

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Transforming Healthcare in the Age of Artificial Intelligence: A New Era of Diagnostic Excellence in Laboratory Medicine

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Checklist to Support the Development and Implementation of AI in Clinical SettingsPreprint

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Diagnostic Test Utilization Management Strategies as an Opportunity for Equitable Access to Molecularly Informed Clinical Care

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Artificial Intelligence in Pulmonary Infectious Diseases

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Regulations and ethical considerations in digital pathology and artificial intelligence

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ISO 15189-aligned governance framework for clinical ai in medical laboratories: A proposed control matrix, evidence package, and risk-tiered maturity roadmap for verification, monitoring, and change control

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AI Model Reporting Standards in Health Care: Systematic Review and Consolidation

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The clinical laboratory as a missing stakeholder in Japan’s program medical device (SaMD) framework: regulation, two-step approval, and the analytical-validation bridge

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The Impact of Data Quality on ML Diagnostic Models: Ensuring Reliability in Medical AI

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A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care

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QI Meets AI—Implications and Opportunities for Laboratory Medicine

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A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

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