New AI-Driven Clinical Tools Promise More Precise Medical Diagnoses

New AI-Driven Clinical Tools Promise More Precise Medical Diagnoses.webp

New Delhi, February 21 – Union Minister of State (Independent Charge) for Science and Technology, Dr. Jitendra Singh, stated on Saturday that artificial intelligence (AI) is poised to eliminate subjectivity in medical diagnosis, enabling doctors to deliver more precise and patient-specific treatments in the years to come.

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

He explained that in traditional diagnosis, doctors rely heavily on personal judgment 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 analyze 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 a single field.

"With the rise of super-specialization, doctors often work within narrow domains. Platforms like multi-specialty 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' judgment 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.
 
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ai in healthcare artificial intelligence biopsy analysis clinical decision-making data science disease patterns dr. jitendra singh healthcare trends india medical conferences medical diagnosis medical imaging medical technology pathology patient data
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