Faisal Mahmood’s Post

Poster @ 2024 USCAP - United States and Canadian Academy of Pathology. A validation study of our AI models for lung adenocarcinoma subtyping, using cases from 3 international institution. Overall improvement of general pathologists performance in subtyping and grading LUAD. Find our dual AI models on https://lnkd.in/gu6cDpjs

👏🏼 A hearty congratulations to Dr. Gopi Maguluri and colleagues on their publication: " Core Needle Biopsy Guidance Based on Tissue Morphology Assessment with AI-OCT Imaging"! Core needle biopsy is a common procedure for obtaining tissue samples from suspicious lesions or tumors for diagnostic purposes. However, accurately targeting the region of interest within the lesion remains challenging. Leveraging Aiforia Create, Dr. Magluri's research proposed the use of AI-OCT imaging, a non-invasive imaging technique that combines artificial intelligence and optical coherence tomography, to improve the precision of core needle biopsy guidance. 📈 The combination of AI and optical coherence tomography offers real-time guidance, improving the accuracy and reliability of the biopsy procedure. The proposed technique has the potential to enhance diagnostic outcomes and patient care in the field of tissue sampling and analysis. Read the full paper here: https://hubs.la/Q01XT85Q0

Achieve More Consistent Diagnoses with AI In pathology, diagnostic variability can be a challenge. TriMetis Computer-Assisted Pathology offers a solution by integrating advanced algorithms to analyze samples. By standardizing aspects of diagnosis with AI, we can improve precision and consistency, leading to better outcomes. The future is headed towards AI-assistance! 🌐 Discover TCAP: https://lnkd.in/gqUrgaeS  #TCAP #Pathology #Histology #CancerResearch #Innovation #PrecisionMedicine #Collaboration #DigitalPathology #AI #Automation

With years of research and development endoscopy equipment has gone from fiber optic to ultra-high magnification endoscopes with artificial intelligence (AI). It allows endoscopists to detect polyps, especially adenomas at the earliest possible stages. Which leads to a significant increase in adenoma detection rate. A 47 y.o male came in for a screening colonoscopy. In the ascending colon, Paris 0-IIa lesion up to 1mm was visualized with AI assistance. In the narrow-band imaging (NBI) and ultra-high magnification endoscopy the vessel and surface patterns were classified as JNET 2A, pit pattern – Kudo IIIL with only 9 pits involved. An optical diagnosis of tubular adenoma was made and cold forceps polypectomy was performed. Pathology showed tubular adenoma sized 828.8μm, which is, probably, the tiniest adenoma ever found. #EveryAdenomaCounts 

Discover Transformative Efficiencies with Computational Pathology Managing ever-growing pathology workloads poses a challenge, but TriMetis Computer-Assisted Pathology can help transform our efficiency. Integrating AI automates high-volume repetitive tasks, allowing us to focus expertise on the hardest cases. Let’s unlock productivity gains through computational pathology! 🌐 Discover TCAP: https://lnkd.in/gqUrgaeS #TCAP #Pathology #Histology #CancerResearch #Innovation #PrecisionMedicine #Collaboration #DigitalPathology #AI #Automation

Our first team. November 2020. First "team photo" session. We did a great work✌️. At the end of 3.5 years we are #ISO15189acredited #fullydigital at biopsies with #DigitalWorkflow. It was a hard work💪, I should say, but a great one, which I will be proud of to be the founder pathologist of a pathology lab. like this❤️💫 #MemorialPathology #DigitalPathology #ai

😱😱😱 Now, I understand Prof. Alain Blum ’s famous quote during our casual conversation: 📣« Thanks to Canon’s UHR-CT, we can see clearly now. »📣 👉🏼 How ? ✅🆕🆕🆕: By reading the 1st 🥇Clinical scientific validation of #UHR-CT using a 🆕 Bone #DLR in unenhanced #CT scan for the depiction of cortical bone vascularization in osteoid osteoma bone 🦴 tumor. ✅ It’s Now online. This study was investigated by the University Hospital of Nancy in 🇫🇷(Fatma Boubaker and al.) and was just published in Diagn Interv Imaging Journal 📰 (Impact Factor = 7) 👉🏼Highlights ? ✅• #UHR-CT depicts more cortical and nidus vessels than conventional #CT in osteoid osteoma. ✅• The use of #DLR allows compensating for increased noise induced by #UHR-CT with hybrid iterative reconstruction compared to conventional CT. ✅• #UHR-CT with #DLR appears as the most effective technique to depict cortical bone vascularization in osteoid osteoma. 👉🏼Future clinical perspectives ? 🚀🚀🚀 ✅ #UHR-CT combined with Bone #DLR can greatly contribute to obtain an earlier diagnosis and change patient management in #MSK tumor pathology. 👉🏼Authors: ✅ Fatma Boubaker , Pedro Augusto Gondim Teixeira , Gabriela Hossu , nicolas douis , Pierre Gillet , Alain Blum , Romain GILLET CHRU de Nancy

Development of an Artificial Intelligence Model for the Classification of Gastric Carcinoma Stages Using Pathology Slides - Cureus: Development of an Artificial Intelligence Model for the Classification of Gastric Carcinoma Stages Using Pathology Slides  Cureus http://dlvr.it/T4V2sz #ai #artificialintelligence

Have you already registered for this webimar on AI and digitisation in the world of pathology❓ You don't want to miss it. Register here 👉: https://lnkd.in/gxdXcyRU #DigitalPathology, #Pathology #ImageAnalysis

Check out this recent publication in Laboratory Investigation! "...the review examines how AI can contribute to enhancing the quality and control of diagnostic processes, introducing new workflow options, and addresses the limitations and caveats associated with current AI platforms in this context"