Ankush Patel, MD

Lead Guest Editor

Guidelines, best practices, and standardization in digital pathology: special issue

Executive Director & CCO

Host/Venue: University of Pittsburgh

Course Creator

Preview: Series Intro (recut) - Full series: https://www.nsh.org/learn/pathology-certificate

Pre-Operational Validation of a Deviation-Ready QMS for Source Plasma Centers: Readiness Metrics...

Most laboratories find their system weaknesses during their first real crisis. This paper flips the script, presenting a simulation-anchored framework that stress-tests an electronic Quality Management System (eQMS) before operational launch. By treating a new facility like a high-fidelity flight simulator, leadership can identify and fix "hidden" failure points in the cold chain and documentation pathways before they threaten product integrity or regulatory standing.

AI in Genitourinary Pathology

Deploy AI in genitourinary pathology without breaking workflow: breaking down what’s ready now (prostate) vs still emerging (bladder/renal/testis), plus the operational playbook labs need. Two roadmaps: VALIDATED for shadow validation, guardrails, audit, and stakeholder training, and ORCHESTRATE for phased rollout, feedback loops, KPI/ROI tracking, and long-term sustainment.

Novel liquid immunocytochemistry with machine learning analysis for bladder cancer detection

A workflow-first approach is essential to plug AI into routine lab cytology without breaking the bench. This pipeline for bladder cancer detection from Techcyte x Cytobay x Hamamatsu covers: collection > prep > scanning > ML triage > pathologist sign-out. Practical adoption cues (proprietary stain + AI triage compatible with standard labs and early validation signals) can be adapted for noninvasive screening pilots.

A Multimodal Generative AI Copilot for Human Pathology - Nature

'PathChat' is a vision-and-language generative AI copilot that can “converse” about whole-slide images and text to support human pathologists. Learn how a foundation model trained on 100 M+ histology patches answers diagnostic questions and pre-annotates slides. Discover a blueprint for blending multimodal AI into education, research, and human-in-the-loop clinical workflows.

Bridging the Clinical-Computational Transparency Gap in Digital Pathology

Standard framework to demystify ML pipelines for pathologists and clarify real clinical needs for developers: a plain-language primer on AI metrics & limitations and concrete workflow touch-points, so clinicians and data scientists can build tools that are accurate, explainable, and clinically meaningful. Featuring: ready-to-adapt governance checklists (validation, performance reporting, data sharing) accelerate safe, collaborative AI deployments in any lab.

Contemporary Whole Slide Imaging Devices and their Applications

43 modern whole-slide scanners (covering optics, cameras, throughput, and image-quality metrics) map the current hardware landscape in digital pathology. Quick, side-by-side performance specs & trade-offs help labs to shortlist scanners and budget intelligently for WSI roll-outs. Practical pointers on selecting and implementing the right device for your workflow help dodge costly missteps during digital transformation.

The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare

Best-practice checklists: session formats, networking structures, governance, and ethics to replicate conference models sending safe, interpretable AI from lab to clinic. Offers concrete case studies and literature-backed recommendations for planning XAI events and strengthening cross-disciplinary collaborations in any organization.

Comparison of four different displays for identification of select pathologic features

Benchmarking four monitor types (three fixed workstation displays and one remote consumer-grade screen) for pathologist accuracy on 10 key features in 90 whole-slide images. Vendor-agnostic, lower-cost or remote monitors match medical-grade displays in diagnostic accuracy. Offers: 1) hard data to justify budget-friendly or telepathology setups. 2) Guidance for QC, procurement, and remote sign-out policies.

Cultivating Clinical Clarity through Computer Vision: Whole Slide Imaging & AI

Surveys the state-of-the-art in whole-slide imaging and AI/computer-vision, linking recent hardware gains and ML breakthroughs to everyday clinical needs. Real-world deployment stories show how digital workflows cut turnaround times, ease staffing gaps, & boost diagnostic accuracy (ideal for pitching or planning adoption). Offers actionable tips on scanner selection, data/label curation, and validation checklists to smooth regulatory and operational roll-out of WSI + AI in your own lab.

Cybersecurity and Information Assurance for the Clinical Laboratory

Core cybersecurity and information-assurance principles through a clinical-lab lens: mapping common threats, vulnerabilities, & safeguards from EHRs to IoT analyzers. Quick-reference glossaries, threat tables, & real-world ransomware case studies enable lab leaders to spot risks fast & brief their teams in plain language. Step-by-step checklists for resilience planning (patching, supply-chain vetting, downtime playbooks) help preserve uptime & protect PHI.

Types and frequency of whole slide imaging scan failures in a high throughput clinical lab

Audits a multi-year, high-volume digital lab to catalog every unique cause of WSI scan failure and respective occurrence. Hard benchmarks & visual taxonomy of 9 common artifacts arm lab directors with QC targets and staff-training material. Strengthens business case for full-scale digital pathology adoption.

Whole Slide Imaging Technology and Its Applications: Current and Emerging Perspectives

Synthesizes today’s WSI tech- from scanner optics to AI plug-ins. Hardware specs, workflow impacts, and the latest FDA policy shifts provide labs a checklist for budgeting and rollout. Hidden adoption hurdles (cost, QC, culture) are flagged alongside a step-by-step roadmap to standardize, validate, and scale WSI in routine practice.

Applications of Digital and Computational Pathology & AI in Genitourinary Pathology Diagnostics

Summarizes current FDA-cleared and research-stage AI tools, their performance, and real-world validation hurdles, giving labs a clear snapshot of where GU-focused algorithms stand today. Offers actionable guidance on data quality, generalizability, and multiple-instance learning strategies that can fast-track safe AI deployment in your own GU pathology workflow.

Computational Tools for Pathology Practice (Genitourinary Pathology Society)

Maps today’s computational-pathology toolbox for prostate, bladder, kidney & testis- spanning AI algorithms, data requirements, and validation hurdles. Pinpoints FDA-cleared vs. research-stage models, performance, & prerequisite datasets useful for budgeting, grant writing, or prioritizing in-house development. Lays out a consensus roadmap of open research questions and regulatory touch-points, helping labs and vendors align future GU-AI projects with clinical impact.

Comparison of Artificial Intelligence-Based Commercial Software Solutions

Implementing a DICOM-centric Digital Pathology Infrastructure

Enhancing Pathogen Detection with Metagenomic Sequencing

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Client: Mayo Clinic

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Equality in Psychedelic Terminology

Researchers Argue for Equality in Psychedelic Terminology Used in Medical Care

Ketamine May Enhance Recovery Following Surgery

Ketamine may improve the quality of recovery (QoR) in patients undergoing thoracoscopic, i.e., chest, surgery when given around the time of procedure.

Ketamine and Alcohol: A Potentially Dangerous Combination

Brazilian researchers reviewed a series of published studies to draw further insight into the effects of combined ketamine and alcohol use.