Recent & Upcoming Talks

Hospitals and laboratories are increasingly subject to targeted cyberattacks by nefarious actors looking to profit from rasom and extortion. Even unsuccessful or thwarted attacks can result in extended information systems downtimes. Is your prepared? Our speakers address what a real life attack looks like and how to be prepared for the worst.

Association for Pathology Informatics (API) Companion Meeting; members of the Journal of Pathology Informatics (JPI) editorial board provide an overview of the clinical and technical questions one must ask when reading/reviewing these articles.

The goal of this session is to educate attendees on methods of pathological assessment of human cancers in current clinical practice and introduce novel approaches to human tissue analysis that may impact cancer pathology in the future. Presentations by clinically trained pathologist investigators will encompass both current practice in diagnostic pathology of neoplasia as well as emerging technologies in human tissue analysis. Each presentation will include concepts related to the diagnosis, classification, and/or staging of human tumors, as well as discussion of novel approaches that are likely to be integrated into clinical practice, including digital image analysis, multi-plex tissue profiling, and three-dimensional mapping.

This is an exciting time in pathology as pathology is transforming, entering into an era of rapid discoveries and technological advances based on robust advances. Next generation pathology tools, including new technological advances in anatomical pathology, are already being deployed, and many more are rapidly getting developed in research settings. The ongoing technological advances in digital whole slide imaging scanners, image visualization methods, and the integration of artificial intelligence (AI)-derived algorithms into pathology applications are already being used by some pathologists. The benefits of these tools include ease of remote access to cases via the cloud, avoidance of physical storage space, and no risk of deterioration of staining quality or breakage of slides, to name a few. There are advances in genomics, spatiomics, biomarker assessment, multiplexing, and other advanced imaging tools that can now provide single-cell and 3D information to anatomical pathologists. The focus of this course is to provide practical insights into the status of several technological advances in anatomical pathology, such as whole slide imaging, artificial intelligence, augmented reality, genomics, bioinformatics, multiplexing, and advanced imaging tools such as 3D rendering of pathology images. The speakers will provide insights into how close we are today to reaping the benefits of these tools and solutions for routine pathology practice. This course material will allow pathologists to be better prepared to adopt and implement these advances in their daily practice. Expert speakers in these areas will provide an overview of the complexities and barriers of implementing these tools for widespread adoption. Some of the barriers that will be highlighted include cost, technical glitches, interoperability, and, most importantly, professional hesitation to adopt new technology.

Artificial Intelligence in Cancer Diagnostics - Pathology and Molecular Profiling: This course will discuss the different aspects of artificial intelligence (AI) and its role in pathology and molecular profiling for cancer diagnostics.

On the second Monday of every other month, “Mentoring Mondays” provides an opportunity for residents and fellows to learn about pathology informatics from well-known practitioners in the field, as well as from noted practicing pathologists with interests in informatics. Beginning with a 10-minute “lightning round” of questions, attendees will share details about how they began their career, describe what a typical day looks like, discuss current projects and research interests, and speak about how pathology informatics informs their view of the health world.

The practice of pathology is rapidly undergoing a transformation in which multiple tools such as digital imaging, advanced artificial intelligence algorithms, and computer-aided diagnostic techniques are being linked with molecular pathology resulting in increased diagnostic power based on the ability of modern-day pathologists to use these new tools and to interpret the data generated by them.

An update for the wider enterprise imaging community about recent developments in digital pathology and goals on the horizon.

Ki67 labeling index (LI) is the preferred method of establishing grade for gastroenteropancreatic neuroendocrine tumors (GEP-NETs). There are a number of acceptable methods for calculating the Ki67 LI in GEP-NETs, but application of quantitative image analysis is a promising method to increase accuracy and repeatability. KiNet is a single-stage deep-learning-based detection and classification pipeline for Ki67 LI with performance meeting or exceeding the current state of the art.

A comprehensive curriculum for the practicing pathologists that starts with the fundamentals of digital pathology and AI and builds up knowledge to clinical implementation.

Artificial intelligence is becoming increasingly important in medicine, including in anatomic pathology. This presentation introduces artifical intelligence with a focus on machine learning and deep learning applied to histopathology.