Friday April 19, 2019

Jharkhand doctors, teachers oppose new leave system

0
//

Ranchi: Doctors and teachers in Jharkhand on Sunday protested against the leave system introduced by the state this month.

According to the new system, the doctors and teachers posted in rural areas would have to seek leave from ‘mukhiyas’ (village heads).

The mukhiyas have also been empowered to check the attendance of the doctors and teachers.

The new system has not gone down well with the doctors. More than 600 doctors under the Jharkhand Health Services Association (JHSA) took out a protest march on Sunday.

The agitating doctors were on their way to blockade the chief ministers’ residence but were stopped near the governor’s house. The doctors then staged a sit-in near the governor’s house.

“We demand immediate withdrawal of the leave and attendance system introduced by the state government. We will not seek leave from the mukhiyas,” JHSA president Bimlesh told reporters.

He said: “If the state does not roll back the new system, then we will step up our agitation.”

A teachers’ association also announced their protest against the new leave system.

“The teachers will launch a signature drive against the leave system and hand over a memorandum to Chief Minister Raghubar Das,” said Arvind Kumar Singh, president of the Jharkhand Primary Teachers’ Association, to reporters.

“The new leave system is not acceptable as it will increase political interference in the education system,” he said.

(IANS)

Next Story

Google Claims Eye Doctors Can Turn More Effective Using AI

Without assistance, general ophthalmologists are significantly less accurate than the algorithm, while retina specialists are not significantly more accurate than the algorithm. 

0
google
The research team at Google AI believes that some of these pitfalls may be avoided if the computer can "explain" its predictions. Pixabay

As Artificial Intelligence (AI) continues to evolve, diagnosing diseases has become faster with greater accuracy. A new study from the Google AI research group shows that physicians and algorithms working together are more effective than either one alone.

In the study, to be published in the journal Ophthalmology, the researchers created a system which not only improved the ophthalmologists’ diagnostic accuracy but also improved the algorithm’s accuracy.

The study expands on previous work from Google AI showing that its algorithm works roughly as well as human experts in screening patients for a common diabetic eye disease called diabetic retinopathy.

eyes
To test this theory, ten ophthalmologists (four general ophthalmologists, one trained outside the US, four retina specialists, and one retina specialist in training) were asked to read images with and without algorithm assistance. Pixabay

“What we found is that AI can do more than simply automate eye screening, it can assist physicians in more accurately diagnosing diabetic retinopathy. AI and physicians working together can be more accurate than either one alone,” said lead researcher Rory Sayres.

Recent advances in AI promise to improve access to diabetic retinopathy screening and to improve its accuracy. But it’s less clear how AI will work in the physician’s office or other clinical settings, the team said.

According to the team, previous attempts to use computer-assisted diagnosis shows that some screeners rely on the machine too much, which leads to repeating the machine’s errors, or under-rely on it and ignore accurate predictions.

The research team at Google AI believes that some of these pitfalls may be avoided if the computer can “explain” its predictions.

web
Recent advances in AI promise to improve access to diabetic retinopathy screening and to improve its accuracy. But it’s less clear how AI will work in the physician’s office or other clinical settings, the team said. Pixabay

To test this theory, ten ophthalmologists (four general ophthalmologists, one trained outside the US, four retina specialists, and one retina specialist in training) were asked to read images with and without algorithm assistance.

Also Read: U.S. Government Human Rights Report Shows ‘Amber’ Warning Light Situation in Hong Kong

Without assistance, general ophthalmologists are significantly less accurate than the algorithm, while retina specialists are not significantly more accurate than the algorithm.

With assistance, general ophthalmologists match but do not exceed the model’s accuracy, while retina specialists start to exceed the model’s performance. (IANS)