| ChestAi |
Description |
With approximately 2 billion procedures per year, chest X-rays are the most common imaging examination tool used in practice, critical for screening, diagnosis, and management of lung diseases in human's. However, an estimated two thirds of the global population lack access to radiology diagnostics. With automation at the level of experts, we hope that this technology can improve healthcare delivery and increase access to medical imaging expertise in parts of the world where access to skilled radiologists is limited. |
With approximately 2 billion procedures per year, chest X-rays are the most common imaging examination tool used in practice, critical for screening, diagnosis, and management of lung diseases in human being’s. However, an estimated two thirds of the global population lack access to radiology diagnostics. With automation at the level of experts, we hope that this technology can improve healthcare delivery and increase access to medical imaging expertise in parts of the world where access to skilled radiologists is limited. |
Approved |
| ChestAi |
Description |
With approximately 2 billion procedures per year, chest X-rays are the most common imaging examination tool used in practice, critical for screening, diagnosis, and management of lung diseases. However, an estimated two thirds of the global population lack access to radiology diagnostics. With automation at the level of experts, we hope that this technology can improve healthcare delivery and increase access to medical imaging expertise in parts of the world where access to skilled radiologists is limited. |
With approximately 2 billion procedures per year, chest X-rays are the most common imaging examination tool used in practice, critical for screening, diagnosis, and management of lung diseases in human's. However, an estimated two thirds of the global population lack access to radiology diagnostics. With automation at the level of experts, we hope that this technology can improve healthcare delivery and increase access to medical imaging expertise in parts of the world where access to skilled radiologists is limited. |
Historical |
| ChestAi |
Date Founded |
|
2019-01-01 |
Approved |
| ChestAi |
URL |
|
www.chestai.org |
Approved |
| ChestAi |
Facebook |
|
chestai.chestai |
Approved |
| ChestAi |
Twitter |
|
ai_chest |
Approved |
| ChestAi |
LinkedIn |
|
in/chestai-chestai-7183861b8 |
Approved |
| ChestAi |
Contact E-mail |
|
[email protected] |
Approved |
| ChestAi |
State |
|
Connecticut |
Approved |
| ChestAi |
Type |
|
Startup |
Approved |
| ChestAi |
Business Type |
|
B2C (Business to Customer) |
Approved |
| ChestAi |
Industry |
|
Healthcare Equipment & Services |
Approved |
| ChestAi |
State Status |
|
Unknown |
Approved |
| ChestAi |
Name |
|
ChestAi |
Approved |
| ChestAi |
Legal Name |
|
Pawar |
Approved |
| ChestAi |
Country |
|
United States |
Approved |
| ChestAi |
Description |
|
With approximately 2 billion procedures per year, chest X-rays are the most common imaging examination tool used in practice, critical for screening, diagnosis, and management of lung diseases. However, an estimated two thirds of the global population lack access to radiology diagnostics. With automation at the level of experts, we hope that this technology can improve healthcare delivery and increase access to medical imaging expertise in parts of the world where access to skilled radiologists is limited. |
Historical |
