AI also Assesses Dutch Mammograms Better than Radiologists

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by researchers led by Radboud university medical center in a study published in The Lancet Digital Health. The use of AI could reduce workload and save millions of euros annually.

Previous research in Sweden had already shown that AI detects breast cancer on mammograms more frequently than radiologists. Moreover, AI can reduce the workload for radiologists. Now, it appears that AI can also replace the second radiologist in the Dutch breast cancer screening program. This even leads to the detection of more tumors - and at an earlier stage - which later turn out to be clinically significant.

Researchers, led by breast radiologist Ritse Mann of Radboudumc, analyzed 42,000 breast scans. These mammograms were taken as part of the Dutch screening program in the Utrecht region. Traditionally, two radiologists review these scans, as is standard practice in breast cancer screening. In this study, the researchers also evaluated the scans using AI developed by ScreenPoint Medical. Additionally, they followed the women whose scans were analyzed for nearly four and a half years, with multiple scans available for many of them.

The study showed that one radiologist working with AI detects more tumors than two radiologists alone. Tumors are also identified earlier when AI is involved. "Sometimes the AI detects a tumor that the radiologists don’t yet recognize as such. We call this a false positive. But often that tumor appears in a later scan after all. Therefore the AI was right earlier," PhD candidate Suzanne van Winkel explains. "By the time the radiologist raises the alarm, it often concerns larger invasive tumors, which definitely need treatment, as early as possible."

In Sweden, AI is already being used to analyze screening mammograms. "They replace the second radiologist with AI. Only if the AI is uncertain does a second radiologist step in," Mann explains. "We see that radiologists work well with AI, which leads to more tumors being detected without a significant increase in unnecessary follow-up checks for women."

The current study shows that AI is also good enough in the Dutch setting to replace the second radiologist in screening scan analysis. This could save several million euros per year. Yet AI is not currently being used in the Netherlands. "In Sweden, screening is organized regionally, while in the Netherlands it's organized nationally. That makes implementing AI more logistically challenging here," says Mann. "The IT infrastructure in the Netherlands is not yet ready. That requires funding."

van Winkel SL, Peters J, Janssen N, Kroes J, Loehrer EA, Gommers J, Sechopoulos I, de Munck L, Teuwen J, Broeders M, Karssemeijer N, Mann RM.
AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort study.
Lancet Digit Health. 2025 Jul 23:100882. doi: 10.1016/j.landig.2025.100882

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...