{
  "id": 13050319,
  "title": "IIIT-H study caution doctors against relying entirely on AI for medical diagnosis",
  "url": "https://urgent.news/2026/10/09/iiit-h-study-caution-doctors-against-relying-entirely-on-ai-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-09T06:43:38.000Z",
  "source": {
    "name": "The Hindu Health",
    "slug": "the-hindu-health",
    "url": "https://www.thehindu.com/news/cities/Hyderabad/iiit-h-study-caution-doctors-against-relying-entirely-on-ai-for-medical-diagnosis/article71562754.ece"
  },
  "original_language": "en",
  "account": null,
  "summary": "A recent study conducted by researchers at the International Institute of Information Technology, Hyderabad (IIIT-H) has cautioned doctors against relying entirely on AI tools for interpreting medical images, such as chest X-rays. The study, led by Parameswari Krishnamurthy and published in The Hindu Health, examined four vision-language models for analysing chest X-rays and found discrepancies between the regions highlighted by the AI models and those identified by radiologists. The researchers questioned whether AI-generated heatmaps accurately represented the regions of an image that radiologists would identify as disease-related. The study, accepted at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2026, found that an AI model highlighting an apparently correct region of an X-ray did not necessarily mean that it had identified the disease in the same way as a radiologist. The findings underscore the need for doctors to independently assess AI-generated outputs rather than relying on them entirely for diagnosis, as the performance of different models varied in technical audit and radiologists' assessments.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "The Hindu - Sci-Tech",
        "title": "IIIT-H study caution doctors against relying entirely on AI for medical diagnosis",
        "url": "https://urgent.news/2026/10/09/iiit-h-study-caution-doctors-against-relying-entirely-on-ai-for-13053854",
        "published": "2026-10-09T06:43:38.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}