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

🌟 AI-driven innovations are set to dominate the future of diagnostics! At the #IndiaDiagnosticsSummit, experts discussed advancements in radiology, genomics, and pathology. They shared insights on challenges and the industry's transformative shifts. #AI #healthtech #ethealthworld #diagnostics

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

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 

Experts foresee AI-driven innovations shaping the future of diagnostics. At the India Diagnostics Summit, discussions highlighted advancements in radiology, genomics, and pathology, addressing challenges and industry evolution. #Diagnostics #AI #HealthcareInnovation #IndiaDiagnostics

We're starting to see developments in AI healthcare that feel like science fiction. Some examples: - Enlitic: Enhances medical imaging for more accurate diagnostics. - Lumiata: Predictive analytics for healthcare risk assessment. - deepc: Software that improves diagnostic efficiency in medical imaging. - Kheiron Medical: Technology for enhanced breast cancer detection. - Aidoc: Assists radiologists by flagging critical conditions in imaging. - Owkin: Platform for innovative drug discovery and personalized medicine. - Mendaera, Inc.: Robotic surgery platform automating complex procedures. - Huma.AI: Transforms clinical data into actionable insights for life sciences. Can't wait to see the gains the next few years bring.

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

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

The difficulty that AI experts have in explaining AI is a good example of expertise. In most instances, expertise means expertise in making a thing work. It does not typically mean expertise in how exactly it works. There are brain surgeons who are excellent at removing brain tumors. They know less than 1% about how a brain works. That's just how it is.

Excited to share our latest research in digital pathology! 🔬🖥️ Title: "Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology" We've developed a new AI method using generative imaging to virtually transform H&E-stained slides into PHH3 stains. This approach saves time, preserves tissue samples, and enables multi-stain analysis from a single slide. The best part? This approach could potentially be extended to other stains and tissue types! Curious? Check out the full paper: https://lnkd.in/dZdwyT7N #DigitalPathology #GenerativeImaging #ArtificialIntelligence #MedicalImaging #CancerResearch