Association for Pathology Informatics Virtual Summit 2021
Overview
34 videos, size: 5.6 GB
Information:
The Association for Pathology Informatics (API) held a Virtual Digital Pathology and AI Workshop from November 3 – 5, 2021. This was a 3-day virtual workshop, with each daily session lasting 5 hours. The workshop emphasized the practical considerations for digital pathology and AI relevant to the participants’ home practices.
The workshop included a total of twelve 30-minute lectures by national and international experts, punctuated by 15 minutes of audience engagement with Q&A sessions. There was also a virtual tour of the digital pathology labs at Memorial Sloan Kettering Cancer Center.
The learning objectives for all participants included understanding the directions for digital pathology and AI from a domestic U.S. and international perspective, given the advances in technology, market shifts, regulatory changes, and transformation in pathology culture. They also aimed to understand the deployment of digital pathology for their home practices, including operational considerations for remote sign-out, optimization of surgical pathology workflows, and information system integration.
By the end of the workshop, participants were expected to be able to assess their own laboratory and/or pathology practice’s readiness to implement artificial intelligence, including evaluating and implementing the different digital pathology and AI solutions on the market. They were also expected to be able to create the proper business case for digital pathology and AI for their own laboratory/practice, with the ultimate goal of applying this knowledge in order to stand up a digital pathology enabled laboratory at their own sites.
List of Topics:
A Digital Pathology Repository of COVID-19 Pathology.ts
A Website for Curating Blood Group Antigen Phenotypic and Genetic Data.ts
AI & Machine Learning in the Clinical Lab- Moving Towards a Virtual Lab Consultant.ts
An AI-Based Solution for Cancer Detection-First Deployment in Clinical Routine in a US Pathology Lab.ts
Automated Construction of EHR-Based Computable Phenotypes for Identification of Specific Patients.ts
Combining Analytics, Machine Learning, and Decision Support to Improve Clinical Lab Value.ts
Custom Web Applications for Continual Improvements to Laboratory Workflows.ts
Deployment of an LIS Driven Courier and Sample Tracking Program.ts
Development of a Web-Based Tool for Anatomic Pathology Quality Assurance Activity.ts
Digital Pathology Operations at MSKCC and COVID-19 Pandemic Response.ts
Efficacy of PanopticNets for 3-Dimensional Segmentation of Confocal Microscopy Imaging Data.ts
Ensuring Ethical Accountability with AI.ts
Exploring the “Dark Matter” of Histopathology with High-Dimensional Machine Learning Approaches.ts
Federated Learning for Digital Pathology Training Algorithms Without Accessing Patient Data.ts
Full-text Search, Information Visualization, Intelligent Alerts, and Interoperability.ts
High Throughput Truthing (HTT)- Pathologist Agreement from a Pilot Study.ts
Histopathology Image Search for Lymphoma Diagnosis Directly from Hematoxylin and Eosin Slides.ts
Informatics Education in Medicine.ts
Linguistic Rules for Learning Subjective Tissue Similarity Assessment.ts
LIS Data Extraction, Analytics, and Automation via Third Party Vendor.ts
Maintaining Quality Diagnosis with Digital Pathology- A Practical Guide to ISO 15189 Accreditation.ts
Migration and Display of Legacy Anatomic Pathology (AP) Reports in the Beaker AP Module.ts
Multi-Biomarker Analysis for Hodgkin Lymphoma using Automatic Registration.ts
Mycobacterial Detection and Localization on WSI Using Machine Learning.ts
Novel Slide-Free Microscopy for Direct Tissue-to-Digital Histology.ts
Oncoclinicas Transformation to Digital.ts
Robotic Process Automation A Novel Method in Streamlining Digital Pathology Validation.ts
The Impact of Digital Pathology, AI, and Image Analysis on Lab Operations and Workflow.ts
The Inside Scoop – Developing Your Career at Any Stage.ts
Unsupervised Analysis of Genome-Wide Copy Number Data in Brain Tumors Using R.ts
Update of The CAP Whole Slide Imaging Validation Guideline.ts
Update on Pathology Informatics Essentials for Residents (PIER) Curriculum.ts
Whole Slide Image De-Identification at Scale.ts
Why Lab R.O.I. is Rarely Obtained Information…and How to Get It.ts