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AI to Remove Subjectivity in Medical Diagnosis, Says Dr. Jitendra Singh

Union Minister Dr. Jitendra Singh stated that artificial intelligence is poised to remove subjectivity from medical diagnosis, leading to more precise treatments. He explained that AI tools can scan medical samples like biopsies to pinpoint critical areas a human might miss, significantly reducing oversight. These systems can also analyze a patient's complete medical data to flag important findings during clinical examinations. The Minister emphasized that AI acts as a support tool to enhance doctors' judgement while highlighting the need for interdisciplinary collaboration in modern medicine.

Key Points: AI to Remove Subjectivity in Medical Diagnosis: Dr. Jitendra Singh

  • AI reduces human error in clinical decisions
  • Flags critical findings from patient data
  • Enhances doctor's judgement, doesn't replace it
  • Requires interdisciplinary collaboration in medicine
2 min read

AI-driven clinical tools to remove diagnostic subjectivity in healthcare: Dr. Jitendra Singh

Union Minister Dr. Jitendra Singh states AI will remove diagnostic subjectivity, reduce human error, and enable precise, patient-specific treatment.

"AI-enabled system can scan the slide and directly point to the exact area that needs attention. - Dr. Jitendra Singh"

New Delhi, Feb 21

Union Minister of State for Science and Technology Dr. Jitendra Singh on Saturday said that artificial intelligence is set to remove subjectivity from medical diagnosis, helping doctors deliver more precise and patient-specific treatment in the years ahead.

Speaking at the "Medllumina 2026: International Multi Specialty Medical Conference," Dr. Singh said AI-powered tools will significantly reduce human error in clinical decision-making.

He explained that in traditional diagnosis, doctors rely heavily on personal judgement and experience.

For example, a pathologist examining a cancer biopsy slide with the naked eye might miss a tiny but critical cluster of affected cells.

"However, an AI-enabled system can scan the slide and directly point to the exact area that needs attention. This reduces the chances of oversight and improves accuracy," he stated.

"AI tools can also analyse a patient's complete medical data during clinical examinations and flag important findings that might otherwise go unnoticed. This will strengthen diagnosis and lead to better treatment outcomes," the Minister said.

Highlighting the need for interdisciplinary collaboration, Dr. Singh said modern medicine is no longer limited to one field.

"With the rise of super-specialisation, doctors often work within narrow domains. Platforms like multi-speciality conferences create space for dialogue across disciplines such as medical technology, engineering and advanced data sciences," Dr. Singh explained.

Tracing the journey of medical science over the past few decades, he said healthcare has moved from classical bedside learning to advanced imaging and molecular technologies.

"From ultrasound and CT scans to MRI and genomics, diagnostic tools have evolved rapidly," the MoS stated.

He added that while earlier medical mastery depended mainly on extensive reading and clinical experience, AI systems now act as powerful support tools that enhance doctors' judgement rather than replace it.

Dr. Singh also pointed to changes in India's disease patterns. Illnesses that were once confined to specific regions, such as diabetes in southern states or thyroid disorders in Himalayan areas, are now widespread across the country due to lifestyle changes and shrinking rural-urban gaps.

- IANS

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Reader Comments

R
Rohit P
While the intent is good, I have concerns. Will our overburdened public healthcare system have the infrastructure to implement this? And what about data privacy? Patient medical data is extremely sensitive. We need strong laws and robust systems before we jump on the AI bandwagon.
A
Aman W
The point about diseases like diabetes now being everywhere is so true. Lifestyle diseases are the real pandemic. If AI can help in early detection and creating personalized treatment plans, it could save millions of lives and reduce the long-term burden on our healthcare system. A much-needed focus.
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Sarah B
As someone who has seen a family member go through a diagnostic odyssey, this gives me hope. The doctor's experience is invaluable, but having an AI tool as a second pair of "eyes" that never gets tired could prevent so much anxiety and misdiagnosis. The key is that it supports, not replaces, the human doctor.
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Karthik V
Fantastic! India has the talent in both medicine and software. We should lead in developing these AI tools tailored for our population's specific needs and genetic diversity. 'Make in India' for medical AI should be the goal. Jai Hind!
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Meera T
I respectfully disagree with the notion that it removes "subjectivity." Medicine is as much an art as it is a science. The patient-doctor relationship, understanding the patient's context, fears, and social background – can an AI factor that in? It's a tool for objective *data*, but healing requires human touch and judgement.

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