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India's coronavirus cases top 3.2 million

INDIA recorded more than 60,000 cases of Covid-19 for the eighth day in a row on Wednesday (26), as total cases crossed 3.2 million, data from the federal health ministry showed.

The world's second-most populous country is third behind the US and Brazil in terms of total caseload, and has recorded the world's highest single-day caseload consistently since August 7, a Reuters tally showed.


Deaths in the last 24 hours stood at 1,059, taking the total number of fatalities from the infection to 59,449. The country reported its first coronavirus infection on January 30.

The overall Covid-19 count reached 3,234,475 including 707,267 active cases.

Maharashtra has 166,239 active cases, the highest in the country followed by Andhra Pradesh with 89,932 active cases.

As many as 823,992 samples were tested on August 25 while over 37 million samples have been tested so far, according to the Indian Council of Medical Research (ICMR).

According to the health ministry, India has exponentially scaled its testing from one in January to one million/day in August 2020.

On Tuesday (25), the ministry informed that there has been more than 100 per cent hike in the recoveries in the last 25 days.

Delhi chief minister Arvind Kejriwal has on Wednesday (26) called a review meeting to discuss the coronavirus situation in the national capital.

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AI does better than doctors at diagnosing emergencies, finds new study

Highlights

  • AI got the right diagnosis 67 per cent of the time.
  • Researchers say AI won't replace doctors, but will work alongside them.
  • Experts warn AI still isn't ready to be used on its own in hospitals.
A new study from Harvard found that an AI system was better than human doctors at figuring out what was wrong with emergency room patients.

Study found that AI systems outperformed human doctors in high-pressure emergency triage, making more accurate diagnoses when patients were first rushed to hospital.

Independent experts called the results a “genuine step forward” in AI clinical reasoning.

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