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For more information, check out the event details here: [bit.ly/DDxSummit2024]

For more information, check out the event details here: [bit.ly/DDxSummit2024]

really great video am impressed

You tube course

Hello. I really appreciated your Podcast, Thanks for all that you do. I am a 34 years Pathologist from the Caribbean Region, very interested in DP and in the first steps of this field. I learning from all of you to developing my own practices in our islands . Congratulations !

RUclips course!!!🥰

RUclips course

The abstracts we covered today: 📄 A novel model for predicting postoperative liver metastasis in R0 resected pancreatic neuroendocrine tumors: integrating computational pathology and deep learning-radiomics. pubmed.ncbi.nlm.nih.gov/39143624/ 📄 Validation of an AI-based solution for breast cancer risk stratification using routine digital histopathology images pubmed.ncbi.nlm.nih.gov/39143539/ 📄 Potential roles for artificial intelligence in clinical microbiology from improved diagnostic accuracy to solving the staffing crisis pubmed.ncbi.nlm.nih.gov/39136261/ 📄No longer stuck in the past: new advances in artificial intelligence and molecular assays for parasitology screening and diagnosis pubmed.ncbi.nlm.nih.gov/39133581/ 📄Physics-informed deep generative learning for quantitative assessment of the retina pubmed.ncbi.nlm.nih.gov/39127778/ 📄Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imaging of Colorectal Cancer pubmed.ncbi.nlm.nih.gov/39125481/

Congratulations to Proscia on the 510K FDA clearance of their image management software, Concentriq!

😀😀😀😀😀😀😀

Ergo edge: amzn.to/4dn9PRM

Ciesze sie, ze moge nadrobic (szkoda ze nie "live"), ost. bylam w drodze. Dziekuje Olu za to co robisz i inicjatywę !!!. Pozdrawiam Aga (z Zurichu)

Fantastic Alec

Hi Dr Madhu Dewan from UK

AI Book: The ABC of Pathology: amzn.to/3WCcnoa

Morning

Set your scientific literature alerts like that and never get paralyzed about which papers to read next. Let me know your area of expertise below. Mine: digital pathology.

FiFine Microphone: amzn.to/3WQCTLS

As much as I love digital pathology it has both advantages and disadvantages. Let me know what annoys you most!

The abstracts we covered today: 📄 Advances in Bone Marrow Evaluation pubmed.ncbi.nlm.nih.gov/39089749/ 📄 Digital Imaging and AI Pre-classification in Hematology pubmed.ncbi.nlm.nih.gov/39089746/ 📄 Evaluation of CD3 and CD8 T-Cell Immunohistochemistry for Prognostication and Prediction of Benefit From Adjuvant Chemotherapy in Early-Stage Colorectal Cancer Within the QUASAR Trial pubmed.ncbi.nlm.nih.gov/39083705/ 📄 A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis A survey analysis of the adoption of large language models among pathologists pubmed.ncbi.nlm.nih.gov/39082680/ 📄 Clinical-Grade Validation of an Autofluorescence Virtual Staining System with Human Experts and a Deep Learning System for Prostate Cancer pubmed.ncbi.nlm.nih.gov/39069201/

I love that I want to see more

Too many commercials1

The abstracts we discussed today: 1) A visual-language foundation model for computational pathology www.nature.com/articles/s41591-024-02856-4 2) A foundation model for clinical-grade computational pathology and rare cancers detection www.nature.com/articles/s41591-024-03141-0 The tool we tried today: Undermind: 2ly.link/1yjS6 A book I recommend: "ABC of Artificial Intelligence. Baby University": amzn.to/4fyaXE7

Hi Dr Bindu from India

❤

Are these microscope cameras allowed for remote primary diagnosis?

C

The dataset the AI itself is trained with matters immensly though - this is how it synthesizes examples. I wouldnt trust any AI tool, in any situation, to create larger sample sets than the datasets it is referencing, and have those samples still conform to what you might encounter in the real world. And if the AI is trained off even a smidge of the internet, for it's language model even, then it will be stitching together language from an uncountable number of untrustable sources (couch doctors etc.) without any way to distinguish credibility. Despite all the frenzy for AI, when it comes to training medical professionals, I can't agree that teaching through AI synthesized examples is better than teaching by experience. In my eyes, this is equivalent to turning medical training into an assembly line - less quality teaching, for a higher output of less qualified medical professionals.

AI has such potential! Thanks for sharing your thoughts.

Here are the abstracts we reviewed today: Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2024.1372397/full U.S. payer budget impact of using an AI-augmented cancer risk discrimination digital histopathology platform to identify high-risk of recurrence in women with early-stage invasive breast cancer www.tandfonline.com/doi/full/10.1080/13696998.2024.2379211 Evaluating the efficacy of few-shot learning for GPT-4Vision in neurodegenerative disease histopathology: A comparative analysis with convolutional neural network model onlinelibrary.wiley.com/doi/10.1111/nan.12997 ChatGPT for digital pathology research pubmed.ncbi.nlm.nih.gov/38987117/ Evaluating artificial intelligence-enhanced digital urine cytology for bladder cancer diagnosis acsjournals.onlinelibrary.wiley.com/doi/10.1002/cncy.22884

Would you prefer working remotely or on site? why? Let me know below.

Thank you for sharing. I am also in the same industry, but there is very little exchange of relevant information. This channel is very precious.

The abstracts reviewed today: 1) Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology. pubmed.ncbi.nlm.nih.gov/39001331/ 2)Deep Learning-Based Dynamic Risk Prediction of Venous Thromboembolism for Patients With Ovarian Cancer in Real-World Settings From Electronic Health Records. pubmed.ncbi.nlm.nih.gov/38996199/ 3) Deep learning empowered breast cancer diagnosis: Advancements in detection and classification. pubmed.ncbi.nlm.nih.gov/38990817/ 4) ChatGPT for digital pathology research pubmed.ncbi.nlm.nih.gov/38987117/ 5) Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative pubmed.ncbi.nlm.nih.gov/38984198/ 6) Possible benefits, challenges, pitfalls, and future perspective of using ChatGPT in pathology pubmed.ncbi.nlm.nih.gov/38971620/

Hi, I came from Thailand, but I'm now a final-year PhD student in Japan! I am really interested in digital pathology, and your book has helped me a lot! I look forward to your next videos.

If you ever wondered what kind of data pathologists work or if you ever need to explain it, this is a talk for you. And if you have any questions, let me know in the comments below!

Another great show!

So early!!! Thank goodness for replay~!

Hi, Haruna Nggada from Maiduguri, Nigeria, Anatomic Pathologist

Dialled in from South Africa and always enjoy your sessions.

I m from India

Too bad I missed the live stream. I will try not to miss it again. Please rock on

Interested in doing AI straight from the microscope, get more info here: www.aleksandrazuraw.com/smart-in-media-9128

It was so much fun to be the guest this time :) Dennis Strenk, from "People of Pathology" was interviewing me about my book. Who is a listener of "People of Pathology" and heard the original episode?

Ive actualy told this to a doctor who has worked with the program like 7 years and he learned smth new that day. Last time i saw him he still used this method. This is also true for many commercial apps with a little preview like this, neat little design the developers incorperated to make life a little easier

Thank you Aleks for stopping at our booth. It was a pleasure meeting you in person. We continue polishing the platform to improve user/editors/contributors' experience. Very soon, we will start working on establishing infrastructure for Breast Tumors collections which is planned to be launched in 2025. Sincerely, Sasha

Thank you so much

I was waiting for microscopic findings

Thank you

The Abstracts reviewed today: 1)Molecular Classification of Breast Cancer Using Weakly Supervised Learning (pubmed.ncbi.nlm.nih.gov/38938010/) 2)Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: the CONFIDENT-B single-center, non-randomized clinical trial (pubmed.ncbi.nlm.nih.gov/38937624/) 3)[The environmental impact of digital technology and artificial intelligence, in the time of digital pathology] (pubmed.ncbi.nlm.nih.gov/38937204/) 4) Digital versus Manual Tracing in Cephalometric Analysis: A Systematic Review and Meta-Analysis (pubmed.ncbi.nlm.nih.gov/38929786/) 5) Undermind for literature research: 2ly.link/1yjS6

You can access this repository here: www.worldtumorregistry.org/home