Events Calendar

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Drug Addiction and Rehabilitation Therapy
2021-11-12 - 2021-11-13    
All Day
Conference Series LLC Ltd is delighted to invite the Scientists, Physiotherapists, neurologists, Doctors, researchers & experts from the arena of Drug Addiction and Rehabilitation therapy, [...]
Drug Addiction and Rehabilitation Therapy
2021-11-12 - 2021-11-13    
All Day
This Rehabilitation 2021 Conference is based on the theme “Exploring latest Innovations in Drug Addiction and Rehabilitation”. Rehabilitation 2021, Singapore welcomes proposals and ideas from [...]
3D Printing and Additive Manufacturing
2021-11-15 - 2021-11-16    
All Day
DLP (Digital Light Processing) is a similar process to stereolithography in that it is a 3D printing process that works with photopolymers. The major difference [...]
Microfluidics and Bio-MEMS 2021
2021-11-16 - 2021-11-17    
All Day
Lab-on-a-chip (LOC) devices integrate and scale down laboratory functions and processes to a miniaturized chip format. Many LOC devices are used in a wide array [...]
Food Technology & Processing
2021-12-01 - 2021-12-02    
All Day
Food Technology 2021 scientific committee feels esteemed delight to invite participants from around the world to join us at 25th International Conference on Food Technology [...]
Events on 2021-11-15
Events on 2021-11-16
Events on 2021-12-01
Articles News

Hospitals are now aware of the development process for several health AI technologies. Will anything change as a result?

EMR Industry

A new federal regulation mandates that certain health AI makers reveal information about bias, testing, and other topics.

They know what the ones and zeroes buzzing away in the background are up to, don’t they? Clinicians click away at workstations in hospitals.

In actuality, physicians and health systems frequently lack critical knowledge about the algorithms they use for tasks like anticipating the start of serious illnesses. Federal regulators now mandate that electronic health record (EHR) businesses provide clients with a wide range of information regarding artificial intelligence tools in their software, which proponents say is a positive start.

Clinicians should have been able to see a model card, often known as a “nutrition label,” since the beginning of January. This label should include information on the variables that go into a prediction, whether a tool has been evaluated in the real world, how the tool’s authors addressed potential bias, cautions about improper use, and more.