AI Stethoscopes Bridge TB Screening Gaps in Hard-to-Reach Areas

A new commentary in the journal Med highlights the potential of AI-powered digital stethoscopes to address critical shortcomings in global tuberculosis screening programs. Researchers argue this technology can overcome challenges like high cost, under-detection, and limited access, particularly in hard-to-reach and high-burden settings. The tool analyzes acoustic biomarkers, potentially detecting sounds inaudible to the human ear, and offers a radiation-free alternative to imaging. Experts conclude it could be a scalable, person-centered solution to help meet global TB case-finding goals.

Key Points: AI Digital Stethoscopes Promise Better TB Screening

  • Fills TB screening gaps
  • Low-cost & scalable tool
  • Detects inaudible sound biomarkers
  • Alternative to radiography
  • Useful in primary care
2 min read

AI-powered digital stethoscopes show promise in bridging screening gaps

New study shows AI-enabled digital stethoscopes can fill critical TB screening gaps, offering a low-cost, scalable alternative in underserved regions.

"AI digital stethoscopes may become useful alternatives to imaging-based approaches for TB screening - Researchers in Med journal"

New Delhi, Feb 6

As tuberculosis continues as the deadliest infectious cause of deaths globally, a new study has shown that artificial intelligence-enabled digital stethoscopes can help fill critical screening gaps, especially in hard-to-reach areas.

In a commentary published in the journal Med (Cell Press), global experts contended that stethoscopes combined with digital technology and AI can be a better option against the challenges faced in screening programmes, such as under-detection, high cost, and inequitable access.

"AI-enabled digital stethoscopes have demonstrated promising accuracy and feasibility for detecting lung and cardiovascular abnormalities, with promising results in early TB studies. Training and validation in diverse, high-burden settings are essential to explore the potential of this tool further," said corresponding author Madhukar Pai from McGill University, Canada, along with researchers from the UAE, Germany, and Switzerland.

Despite advancements in screening and diagnostic tools, an estimated 2.7 million people with TB were missed by current screening programmes, as per data from the World Health Organization (WHO). Routine symptom screening is also likely to miss people with asymptomatic or subclinical TB.

While the WHO recently recommended several AI-powered computer-aided detection (CAD) software, as well as ultra-portable radiography hardware, higher operating costs and upfront hardware act as a deterrent.

This particularly appeared difficult in primary care settings and or among pregnant women due to radiation concerns.

At the same time, AI showed significant potential for screening, including applications beyond CAD of TB from radiographs, said the researchers.

"One application of AI for disease screening is to interpret acoustic (sound) biomarkers of disease, with potential to identify sounds that appear nonspecific or are inaudible to the human ear," they added, while highlighting the potential of AI in detecting and interpreting cough biomarkers and lung auscultation to analyse breath sounds.

Studies from high-TB burden countries, including India, Peru, South Africa, Uganda, and Vietnam, highlighted that AI-enabled auscultation could hold promise as a TB screening and triage tool.

"AI digital stethoscopes may become useful alternatives to imaging-based approaches for TB screening, with the potential to democratise access to care for populations underserved by radiography," the researchers said.

"Importantly, AI digital stethoscopes offer a scalable, low-cost, and person-centered tool that could bring us closer to reaching TB case finding goals," they added.

- IANS

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Reader Comments

R
Rohit P
Finally, some good news in healthcare tech. TB is still a huge problem in our urban slums and remote areas. If this AI stethoscope is truly low-cost and scalable, the government should pilot it immediately in high-burden districts. No more waiting for expensive X-ray machines.
M
Madhuri G
The part about detecting sounds inaudible to the human ear is fascinating. But I hope the "training in diverse settings" includes our varied climates and population densities. A tool tested only in labs might not work in a noisy primary health centre in monsoon season.
A
Aman W
Great initiative, but the proof will be in the implementation. We have a history of brilliant pilot projects that never scale up. Who will maintain these devices? Who will train the ASHA workers? The tech is only half the battle.
S
Sarah B
As someone who has worked in public health, avoiding radiation for pregnant women is a major plus. This addresses a real ethical and practical barrier to screening. Hoping for rapid and responsible rollout.
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Karthik V
Proud to see Indian researchers involved in this global study. Jai Hind! We need more Made in India solutions for our own problems. This tech, combined with our network of health workers, could help us eliminate TB faster. 🤞

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