34:46

DigiPath Digest #13 – Digital Pathology and AI: From PD-1 to Prostate Cancer Prognostics

32:52

AI in Pathology: From Retinal Screening to Global Cancer Diagnostics

15:57

DIGITAL DIAGNOSTICS LIVE RECAP (Day2)

28:47

Digital Diagnostics Live recap (Day 1)

42:28

PATHOLOGY & AI: METASTASIS DETECTION, FAST ANNOTATIONS & FOUNDATION MODELS

38:57

AI And Pathology: Advances in Cancer, Transplantation, and Beyond

46:30

AI in Pathology: From Retinal Assessment to Tumor Prognostics

52:13

AI in Pathology: From Cancer Diagnostics to Telemedicine - What's New in Science

41:22

EXPLORING AI-DRIVEN ADVANCES IN DIGITAL PATHOLOGY FROM T-CELLS SIGNATURES TO SYNTHETIC IMAGES

39:42

What you need to know about the DIGITAL DIAGNOSTIC SUMMIT 2024

01:05:22

Foundation Models in Pathology - High Level Overview

52:26

AI in Modern Medicine: Diagnostics and Healthcare Outcomes

33:16

AI-powered Digital Pathology: From Skin Lesions to ChatGPT

33:11

AI and Digital Pathology: Innovations in Disease Detection and Prognosis

39:47

The Future of Pathology: AI, Digital Tracing & Environmental Sustainability

39:19

INNOVATIVE AI SOLUTIONS IN PATHOLOGY: PAPER HIGHLIGHTS

01:08:36

ETHICS IN AI-DRIVEN PATHOLOGY

01:33:13

How is Artificial Intelligence and Machine Learning Used in Pathology?

01:00:17

Digital Pathology Applications: From Clinical Practice to Drug Development

59:00

DIGITAL PATHOLOGY 101: BOOK LAUNCH

01:06:45

Free Open-Source Tools for Consistent Slide Quality Control & Tissue Image Analysis Part (3/3)

55:34

Free Open-Source Tools for Consistent Slide Quality Control & Tissue Image Analysis Part (2/3)

01:22:14

Free Open-Source Tools for Consistent Slide Quality Control & Tissue Image Analysis Part (1/3)

47:56

Free collaborative tissue image analysis tool - Cytomine with Gregoire Vincke

25:02

What Does The FDA Say About Digital Pathology for Nonclinical Toxicology Studies?

07:04

Wrap Up: Bridging the Gap between Digital Pathology and Computer Science

31:49

How to make AI outputs convincing for users in assisted-reading setups w/ Leslie Tessier

29:05

Intersection between histopathology and spatially resolved gene expression w/ Eduard Chelebian

27:46

Model uncertainty in computational pathology with Milda Poceviciute

30:27

How to deal with domain shift in computational pathology? w/ Khrystyna Faryna

01:14:23

Model performance metrics w/ Francesco Ciompi and Leander van Eekelen

45:24

Unsupervised deep learning tissue image analysis w/ Geert Litjens

44:07

Weakly supervised deep learning for tissue image analysis w/ Daan Geijs

38:45

Deep Learning for Tissue Image Analysis w/ Meyke Hermsen

58:00

Computer vision approaches used in tissue image analysis w/ Leander van Eekelen

01:00:25

All about whole slide images w/ Leslie Tessier and Daan Geijs

29:06

The beginnings of computational pathology with Jeroen van der Laak

26:57

Bridging the gap between pathology and computer science - BEHIND THE SCENES (uncensored)

23:36

INSTAFAMOUS W/ MICROSCOPIC IMAGES

48:20

What the heck is DICOM? How to use DICOM in Pathology With Dr. David Clunie

33:49

What happens in the pathology lab? From tissue to report - diagnostic & research workflow explained.