In a recent study using four AI models, when researchers removed information of chest X-rays provided to the models, their ability to identify the relevant regions declined: इस घटनाक्रम पर आधिकारिक अपडेट दर्ज किया गया है। The researchers tested four models — MAIRA-2, MedGemma-4B, LLaVA-Med-1.5 and LLaVA-1.5 — against thousands of publicly available chest X-rays | Photo Credit

बाजार और अर्थव्यवस्था: क्या हुआ बड़ा बदलाव?

In a recent study using four AI models, when researchers removed information of chest X-rays provided to the models, their ability to identify the relevant regions declined

The researchers tested four models — MAIRA-2, MedGemma-4B, LLaVA-Med-1.5 and LLaVA-1.5 — against thousands of publicly available chest X-rays | Photo Credit

Amid concerns over the reliability of AI tools in medical applications, computer science researchers have cautioned against blindly trusting AI

A study by researchers at the Language Technologies Research Centre (LTRC) at IIIT

The researchers tested four models — MAIRA-2, MedGemma-4B, LLaVA-Med-1.5 and LLaVA-1.5 — against thousands of publicly available chest X

प्रमुख वित्तीय आंकड़े और कंपनियों का रुख

  • •In a recent study using four AI models, when researchers removed information of chest X-rays provided to the models, their ability to identify the relevant regions declined
  • •The researchers tested four models — MAIRA-2, MedGemma-4B, LLaVA-Med-1.5 and LLaVA-1.5 — against thousands of publicly available chest X-rays | Photo Credit
  • •Amid concerns over the reliability of AI tools in medical applications, computer science researchers have cautioned against blindly trusting AI
  • •A study by researchers at the Language Technologies Research Centre (LTRC) at IIIT
  • •The researchers tested four models — MAIRA-2, MedGemma-4B, LLaVA-Med-1.5 and LLaVA-1.5 — against thousands of publicly available chest X
  • •The study was accepted for presentation at the MIMIC Satellite Event of MICCAI 2026 (International Conference on Medical Image Computing and Computer-Assisted Intervention) in Strasbourg, France.
  • •“We wanted to examine whether the heatmaps created by vision-language models actually correspond to where radiologists who look at the image would say the disease lies,” Syed Faizan, the study’s principal investigator, observed.
  • •“An AI model may appear to highlight the correct part of an image, but that does not necessarily mean it has identified the disease in the same way a radiologist would. The model may first arrive at a diagnosis and then use that diagnosis to determine where to place its heat map. In other words, it may be working backwards,” Faizan said.
  • •When the researchers removed diagnostic information provided to the models, their ability to identify the relevant regions declined. The study also found differences between the models’ technical performance and the radiologists’ assessment of how useful their heatmaps were.
  • •Comments have to be in English, and in full sentences. They cannot be abusive or personal. Please abide by our community guidelines for posting your comments.

निवेशकों और उपभोक्ताओं के लिए जरूरी बातें

The study was accepted for presentation at the MIMIC Satellite Event of MICCAI 2026 (International Conference on Medical Image Computing and Computer-Assisted Intervention) in Strasbourg, France.

“We wanted to examine whether the heatmaps created by vision-language models actually correspond to where radiologists who look at the image would say the disease lies,” Syed Faizan, the study’s principal investigator, observed.

“An AI model may appear to highlight the correct part of an image, but that does not necessarily mean it has identified the disease in the same way a radiologist would. The model may first arrive at a diagnosis and then use that diagnosis to determine where to place its heat map. In other words, it may be working backwards,” Faizan said.

When the researchers removed diagnostic information provided to the models, their ability to identify the relevant regions declined. The study also found differences between the models’ technical performance and the radiologists’ assessment of how useful their heatmaps were.

Comments have to be in English, and in full sentences. They cannot be abusive or personal. Please abide by our community guidelines for posting your comments.

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इस विकास का सीधा प्रभाव संबंधित क्षेत्र और हितधारकों पर देखा जा रहा है। घटनाक्रम पर पैनी नजर बनी हुई है।