AI-powered digital stethoscopes show promise in bridging screening gaps

(Photo: Eko Health, US) IANS

New Delhi, As tuberculosis (TB) continues as the deadliest infectious cause of deaths globally, a new study has shown that artificial intelligence (AI)-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. AI-powered digital stethoscopes show promise in bridging screening gaps | MorungExpress | morungexpress.com
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EV Charging Answer: Quantum Technology Will Cut Time it Takes to Charge Electric Cars to Just 9 Seconds

Institute for Basic Science

Scientists in South Korea have proven that a new technology will cut the time it takes to charge electric cars to just nine seconds, allowing EV owners to ‘fill up’ faster than their gasoline counterparts.

And even those plugging-in at home will have the time slashed from 10 hours to three minutes.

The new device uses the laws of quantum physics to power all of a battery’s cells at once—instead of one at a time—so recharging takes no longer than filling up at the pump.

Electric cars were rarely seen on the roads 10 years ago, but millions are now being sold every year and it has become one of the fastest growing industries, but even the fastest superchargers need around 20 to 40 minutes to power their car.

Scientists at the Institute for Basic Science (IBS) in South Korea have come up with a solution. Co-author Dr. Dario Rosa said the consequences could be far-reaching.

“Quantum charging could go well beyond electric cars and consumer electronics. For example, it may find key uses in future fusion power plants, which require large amounts of energy to be charged and discharged in an instant.”

The concept of a “quantum battery” was first proposed in a seminal paper published by Alicki and Fannes in 2012. It was theorized that quantum resources, such as entanglement, can be used to vastly speed up battery charging.

The researchers used quantum mechanics to model their super fast charging station with calculations of the charging speed showing that a typical electric vehicle with a battery containing around 200 cells would recharge 200 times faster.

Current collective charging is not possible in classical batteries, where the cells are charged in parallel, independently of one another.

“This is particularly exciting as modern large-capacity batteries can contain numerous cells.”

The group went further to provide an explicit way of designing such batteries.

This means charging times could be cut from 10 hours to three minutes at home and from around 30 minutes to just a few seconds at stations.

Co-author Dr Dominik Å afránek said, “Of course, quantum technologies are still in their infancy and there is a long way to go before these methods can be implemented in practice.”

“Research findings such as these, however, create a promising direction and can incentivize the funding agencies and businesses to further invest in these technologies.

“If employed, it is believed that quantum batteries would completely revolutionize the way we use energy and take us a step closer to our sustainable future.”

The findings were published in the February 8 edition of the journal Physical Review Letters. [GNN updated the earlier broken link.] EV Charging Answer: Quantum Technology Will Cut Time it Takes to Charge Electric Cars to Just 9 Seconds
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