We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Vicotex

Download Mobile App




Research Collaboration to Advance AI-Enhanced, Real-Time Optical Imaging in Lung Cancer Biopsy

By LabMedica International staff writers
Posted on 20 Mar 2025

Lung cancer continues to be the leading cause of cancer-related deaths globally, with survival rates heavily dependent on early detection and timely intervention. More...

However, diagnosing small, peripheral lung nodules remains a significant challenge, often leading to inconclusive biopsies and treatment delays. Now, a new collaboration aims to integrate real-time optical imaging into biopsy workflows, providing physicians with immediate insights at the point of care and enabling a deeper understanding of tissue microstructure that could support future advancements in artificial intelligence (AI)-driven analysis.

Stanford Medicine (Stanford, CA, USA) and LEADOPTIK Inc. (San Jose, CA, USA) have entered into a research collaboration to explore the use of AI-enhanced real-time optical imaging in lung biopsy procedures. This partnership will evaluate how high-resolution imaging can improve lesion assessment and biopsy accuracy while also contributing to the advancement of smart tools designed to support clinical decision-making. LEADOPTIK is developing technology that provides high-resolution, real-time visualization directly to physicians. The imaging data collected through this collaboration will help refine the application of advanced analytics, further supporting clinical adoption of intelligent imaging solutions.

Stanford Medicine's Interventional Pulmonology Program will play a leading role in evaluating this technology's potential for lung biopsy procedures. Stanford will assess how high-resolution microstructural visualization, combined with emerging AI-powered image interpretation, can refine sample collection strategies and improve patient outcomes. By analyzing detailed optical imaging data in real-world clinical settings, the collaboration aims to enhance diagnostic precision and lay the foundation for more intelligent, image-guided decision-making.

"Stanford Medicine is committed to evaluating and advancing technologies that have the potential to transform patient care," said Dr. Harmeet Bedi, Director of Interventional Pulmonology. "This collaboration allows us to assess whether real-time optical imaging, paired with data-driven insights, can enhance lung cancer diagnostics and improve biopsy precision."

"This partnership with Stanford marks an important step in further validating our unique real-time imaging and exploring how advanced image analysis can further support physicians," added Reza Khorasaninejad, CEO of LEADOPTIK. "By combining cutting-edge imaging with emerging smart tools, we aim to improve the precision of lung biopsy procedures and enable more confident clinical decision-making."

Related Links:
Stanford Medicine
LEADOPTIK Inc.


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Quantitative POC Immunoassay Analyzer
EASY READER+
Thyroid Test
Anti-Thyroid EIA Test
New
Gold Member
Fully-auto Specific Protein (Nephelometry) Analyzer
PA240
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Molecular Diagnostics

view channel
Image: The researchers Manel Pérez Pons y Carlos Rodriguez Muñoz at the IRBLleida laboratory (Photo courtesy of IRBLleida)

New Blood RNA Markers Help Advance Precision Medicine for Respiratory Patients

Risk stratification in hospitalized respiratory disease, particularly among older adults with COVID-19, remains challenging despite rich clinical datasets. Blood-based non-coding RNA biomarkers are promising,... Read more

Microbiology

view channel
Image: The “broth” used to monitor red blood cell depletion in whole blood spiked with one colony-forming-unit of E. coli bacteria, each incubated at different orbital shaking speeds—left to right: 0 RPM, 65 RPM, 120 RPM and 200 RPM—after four hours of incubation. This culturing raises a bacteria-rich, plasma-like layer of bacteria to the top of the vials, while clusters of stuck blood cells known as a Rouleaux formation sink to the bottom. (Image Credit: Pak Kin Wong)

New Diagnostic Workflow Identifies Bloodstream Pathogens and Antibiotic Response in Hours

Sepsis is a life-threatening complication of infection that affects more than 1.5 million patients annually in the United States and contributes to roughly one in three in-hospital deaths.... Read more

Pathology

view channel
Image: Researchers evaluated AI models that quantify tumor-infiltrating lymphocytes (TIL) on routine breast tissue slides, where higher TIL levels reflect stronger antitumor response and improved breast cancer outcomes (Image Credit: Shutterstock)

AI Matches Pathologists in Predicting Breast Cancer Prognosis from Immune Cells

Breast cancer is the most common cancer in Australian women, with more than 20,000 cases each year. Prognosis can be informed by counting tumor-infiltrating lymphocytes (TILs) on routine pathology slides,... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.