Huge thank Alek for creating such an informatic platform! Great video!

Thank you

I am unable to download the book.

The abstracts we covered today: 📰 Can PSMA PET detect intratumour heterogeneity in histological PSMA expression of primary prostate cancer? Analysis of [68Ga]Ga-PSMA-11 and [18F]PSMA-1007 🔗pubmed.ncbi.nlm.nih.gov/39821663/ 📰 HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration 🔗 pubmed.ncbi.nlm.nih.gov/39813900/ 📰 Advanced tissue technologies of blood-brain barrier organoids as high throughput toxicity readouts in drug development 🔗pubmed.ncbi.nlm.nih.gov/39811336/ 📰 Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images 🔗pubmed.ncbi.nlm.nih.gov/39802797/ 📰 GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning 🔗 pubmed.ncbi.nlm.nih.gov/39802211/ 📰 Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer 🔗pubmed.ncbi.nlm.nih.gov/39800743/ 📰 Leveraging explainable AI and large-scale datasets for comprehensive classification of renal histologic types 🔗pubmed.ncbi.nlm.nih.gov/39799164/

Great summary Aleks- all while travelling- very impressive!

Doctors are idiots while they are training the very systems that are set to completely replace them...

The use of AI in Pathology raises a number of ethical considerations and concerns, particularly regarding transparency and informed consent. Patients have the right to be informed about the use of AI tools in their diagnoses and should have the absolute ability to opt out and or refuse things as such. Risks of Over-Reliance on AI Potential for Misdiagnosis: If AI systems were to be relied upon without sufficient human oversight, there is a risk of misdiagnosis due to the limitations of algorithms, which may not fully capture the complexities of individual cases. Fraud and Manipulation: There are concern that AI could facilitate fraudulent practices or the declaration of fake pandemics and I fear that decision-making could be overly influenced by biased algorithms. Bias and Ineptitude: Algorithms used in artificial intelligence can inherit biases present in training data, leading to skewed results. AI systems are prone to reinforcing existing biases and producing erroneous conclusions. AI currently has no effective or applicable skill in exercising forward linear logic or sound reasoning while even if it did these processes could be easily manipulated and or corrupted. Indeed I have grave concerns about the implementation and use of things as such and this is not something that I feel is conducive to a patient's best interests or those of society as a whole. I do not support or endorse this application of technology and great harm could be done with such a thing being put into widespread or universal use. Of course there are two sides of this coin and there are potential benefits that could be realized however I feel the rewards are not worth the inherent multitude of risks. I feel the implementation of things as such is part of a greater agenda which is why doctors and health care professionals were targeted with bioweapon inoculations and a shortage of these professionals and doctors has been carefully manufactured over the past decade or two. This of course is a double edged sword, it removes qualified opposition and also it leaves patients with little to no qualified alternatives.

Amazing introduction to such innovative technology! This is so interesting! I am a cytology student and I have a group literature review project for a class. I will definitely be incorporating some of these developments!

Thank you for posting, great video

Thanks!

Hi, I m Dr Bindu from India

Hi, I m Bindu from India

Thanks a mill. I was looking for something like that

Hi, Nice paper and talk. Missed the live session

Thank you!!

The abstracts we covered today: 📰 The evolving role of liver biopsy: Current applications and future prospects 🔗pubmed.ncbi.nlm.nih.gov/39774070/ 📰 Deep learning-based lymph node metastasis status predicts prognosis from muscle-invasive bladder cancer histopathology 🔗 pubmed.ncbi.nlm.nih.gov/39792275/ 📰 HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification 🔗pubmed.ncbi.nlm.nih.gov/39773093/

Thank you very much for your video

I want to expert in dicom

Happy New Year! The abstracts we discussed today are listed below: 📰 Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology 🔗 pubmed.ncbi.nlm.nih.gov/39754166/ 📰 Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization 🔗 pubmed.ncbi.nlm.nih.gov/39749734/ 📰 A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma 🔗pubmed.ncbi.nlm.nih.gov/39748723/ 📰 The uropathologist of the future: getting ready with intelligence for the prostate cancer tsunami 🔗pubmed.ncbi.nlm.nih.gov/39748708/ 📰 Artificial Intelligence and Whole Slide Imaging Assist in Thyroid Indeterminate Cytology: A Systematic Review 🔗pubmed.ncbi.nlm.nih.gov/39746329/

Can this be used to adjust the focus when scanning?

Very useful. Thanks.

Less work is good.

kzbin.infoI4GHHi1LWmg?si=Tz7XCMPDdzkb6xFZ

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Thanks for sharing ! Could you please make a video series on how to identify the histological & the pathological features of the tissues under the microscope? Keep up the hard work !👏

Hey, thank you so much for the amazing videos. I just finished watching your video on Kidney Histo. I'm in my penultimate class, studying Med. Lab. Sci. I love how you dissect these sections and how to recognize them under the MS. Pls make one for Heart, Lungs, Liver, Spleen, and U. bladder. 🎉

Playlist to Histology Made Easy - kzbin.info/www/bejne/jWWWhXSClL6qo5osi=TBZQYxdeX5_gaGuf

I am curious to know about AI applications in Transfusion Medicine. What we are going to discuss

Publications Discussed Today: 📝 Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine 🔗pubmed.ncbi.nlm.nih.gov/39610333/ 📝 A review on federated learning in computational pathology 🔗pubmed.ncbi.nlm.nih.gov/39582895/

Course

Bindu from India

Publication discussed in this livestream: Making pathologists ready for the new AI era: changes in required competencies Shoko Vos et al. Mod Pathol. 2024. pubmed.ncbi.nlm.nih.gov/39542175/

Aleks-- I appreciate the review of the abstracts/articles. These are the exact discussions we have internally here about our upcoming pathology fellows. When you review these articles, could you include the PubMed ID in your description so folks like me can follow along later?

Aleksandra, it was great meeting you at the DPA Pathvisions Conference in Orlando. Thank you for creating all of this content and sharing it with us so we can all learn and get pathology into the digital age!

Thanks for all the information. DPA is expensive. DIGITAL PATHOLOGY TODAY SEEMS GOOD.

This is terrific dear Alexandra. Would you like to come over to Delhi, India. I have a house there. We can start awareness there.

Send me this list in Email, please

DPA, charges.

Wow ! You look Hep Alexandra. 😊 You have made the learning process beautiful. You are a fantastic lady. Dr Madhu Dewan, MD from UK.

Hi Dr Madhu Dewan, MD Pathology, from UK

The video is well explained Thank you

Hi, I am Dr Anita from Delhi India

Confocal

23.33 in UK

Awesome earrings Alec

Hi from Dr Madhu Dewan, from UK

Publications Discussed Today: 📝 AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review 🔗pubmed.ncbi.nlm.nih.gov/39486020/ 📝 Ki-67 evaluation using deep-learning model-assisted digital image analysis in breast cancer 🔗pubmed.ncbi.nlm.nih.gov/39478421/ 📝A Multi-label Artificial Intelligence Approach for Improving Breast Cancer Detection With Mammographic Image Analysis 🔗pubmed.ncbi.nlm.nih.gov/39477432/ 📝 A comprehensive evaluation of an artificial intelligence based digital pathology to monitor large-scale deworming programs against soil-transmitted helminths: A study protocol 🔗 pubmed.ncbi.nlm.nih.gov/39466830/

Colon ❤