Tuesday, September 30, 2025
Science
No Result
View All Result
  • Login
  • HOME
  • SCIENCE NEWS
  • CONTACT US
  • HOME
  • SCIENCE NEWS
  • CONTACT US
No Result
View All Result
Scienmag
No Result
View All Result
Home Science News Cancer

Four state-of-the-art, artificial intelligence search engines for histopathology images may not be ready for clinical use

May 2, 2024
in Cancer
Reading Time: 3 mins read
0
Four state-of-the-art, artificial intelligence search engines for histopathology images may not be ready for clinical use
67
SHARES
611
VIEWS
Share on FacebookShare on Twitter
ADVERTISEMENT

Four proposed state-of-the art image search engines for automating search and retrieval of digital histopathology slides were found to be of inadequate performance for routine clinical care, new research suggests.

Four proposed state-of-the art image search engines for automating search and retrieval of digital histopathology slides were found to be of inadequate performance for routine clinical care, new research suggests.

 

The performance of the artificial intelligence algorithms to power the histopathology image databases was worse than expected, with some having less than 50% accuracy, which is not suitable for clinical practice, said Dr. Helen Shang, a third-year internal medicine resident and incoming hematology-oncology fellow at the David Geffen School of Medicine at UCLA.

 

“Currently, there are many AI algorithms being developed for medical tasks but there are fewer efforts directed on rigorous, external validations,” said Shang, who co-led the study with Dr. Mohammad Sadegh Nasr of the University of Texas at Arlington. “The field has also yet to standardize how AI algorithms should be best tested prior to clinical adoption.”

 

The paper is published in the peer-reviewed journal NEJM AI.

As it now stands, pathologists manually search and retrieve histopathology images, which is very time consuming. As result, there has been growing interest in developing automated search and retrieval systems for the digitized cancer images.

The researchers designed a series of experiments to evaluate the accuracy of search engine results on tissue and subtype retrieval tasks on real-world UCLA cases and larger, unseen datasets. The four engines examined are Yottixel, SISH, RetCCL, HSHR. Each takes a different approach toward indexing, database generation, ranking and retrieval of images.

Overall, the researchers found inconsistent results across the four algorithms – for instance, Yottixel performed best on breast tissue, while RetCCL had the highest performance on brain tissue. They also found that a group of pathologists found search engine results to be of low to average quality with several visible errors.

The researchers are devising new guidelines to standardize the clinical validation of AI tools, Shang said. They are also developing new algorithms that leverage a variety of different data types to develop more reliable and accurate predictions.

“Our studies show that despite amazing progress in artificial intelligence over the past decade, significant improvements are still needed prior to widespread uptake in medicine,” Shang said. “These improvements are essential in order to avoid doing patients harm while maximizing the benefits of artificial intelligence to society.”

The study’s additional authors are Dr. Chace Moleta and Dr. Jitin Makker of UCLA, and, Jai Prakash Veerla, Jillur Rahman Saurav, Amir Hajighasemi, Parisa Boodaghi Malidarreh, Manfred Huber, and Jacob Luber, Ph.D of the University of Texas at Arlington.

The study was funded by the University of Texas System Rising STARs Award and the CPRIT First Time Faculty Award.



Journal

NEJM AI

DOI

10.1056/AIcs2300019

Method of Research

Imaging analysis

Subject of Research

Human tissue samples

Article Title

Histopathology Slide Indexing and Search — Are We There Yet?

Article Publication Date

25-Apr-2024

Share27Tweet17
Previous Post

Young adults reduced drinking during and after pandemic

Next Post

Researchers create new chemical compound to solve 120-year-old problem

Related Posts

blank
Cancer

Inflammatory-Nutritional Score Predicts Rectal Cancer Outcomes

September 30, 2025
blank
Cancer

Study Investigates Role of Religion and Spirituality in Easing Stress During Radiation Therapy for Gynecologic Cancer Patients

September 30, 2025
blank
Cancer

RadComp Study Finds Health-Related Quality of Life Benefits with Both Proton and Photon Radiation in Breast Cancer Patients

September 30, 2025
blank
Cancer

Microsatellite Instability Testing Evolution Pre-Guidelines in France

September 30, 2025
blank
Cancer

Experts Urge Reevaluation of Hormone Replacement Therapy Post-Breast Cancer

September 30, 2025
blank
Cancer

Treatment Patterns and Survival in Metastatic ACC

September 30, 2025
Next Post
Synthetic access to N-coordinated 7-azaindolynes

Researchers create new chemical compound to solve 120-year-old problem

  • Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    27561 shares
    Share 11021 Tweet 6888
  • University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept

    969 shares
    Share 388 Tweet 242
  • Bee body mass, pathogens and local climate influence heat tolerance

    646 shares
    Share 258 Tweet 162
  • Researchers record first-ever images and data of a shark experiencing a boat strike

    513 shares
    Share 205 Tweet 128
  • Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function

    474 shares
    Share 190 Tweet 119
Science

Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!

RECENT NEWS

  • The Municipal Finance Journal Now Part of the Chicago Journals Program
  • How Antarctic Icefish Reengineered Their Skulls to Dominate an Evolutionary Arms Race
  • Inflammatory-Nutritional Score Predicts Rectal Cancer Outcomes
  • Global Digestive Congenital Anomalies: 1990–2021 Trends

Categories

  • Agriculture
  • Anthropology
  • Archaeology
  • Athmospheric
  • Biology
  • Blog
  • Bussines
  • Cancer
  • Chemistry
  • Climate
  • Earth Science
  • Marine
  • Mathematics
  • Medicine
  • Pediatry
  • Policy
  • Psychology & Psychiatry
  • Science Education
  • Social Science
  • Space
  • Technology and Engineering

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 5,185 other subscribers

© 2025 Scienmag - Science Magazine

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • HOME
  • SCIENCE NEWS
  • CONTACT US

© 2025 Scienmag - Science Magazine

Discover more from Science

Subscribe now to keep reading and get access to the full archive.

Continue reading