Viz.ai
November 1, 2022
Q-collar®
December 1, 2022Austria
Austria, Artificial Intelligence in front row
The Austrian Government has been paying attention to innovations in the field of Artificial Intelligence. In recent years they have published a white paper by the Austrian council on robotics and artificial intelligence called “Shaping the Future of Austria with Robotics and Artificial Intelligence,” in which they outline the main fields of action and framework conditions for Austria in accordance with the Bioethics Commission, the Council for Autonomous Driving and the Advisory Council of the Digitization Agency. They have also brought forward a national initiative with the objectives of strengthening the EU’s technological and industrial performance, encouraging the adoption of AI in all areas of the economy, preparing for the socio-economic changes associated with AI, as well as establishing an appropriate ethical and legal framework.(1,2)
Xund's Medical API, design your own assistant
Xund is a health-tech company founded in 2018 in Vienna. They developed several AI-powered projects, including a healthcare assistant designed to improve patient accessibility. They have based their technology on a medical engine, a medical database, and a solutions engine. The latter includes medical content, recommendations, and publications, as well as AI-driven technology for precise decision-making. Their most recent proposal is an API interface allowing hospitals, clinics, and other facilities to build their own health assistant based on Xund’s technology but tailored to their specific needs and patient population. With this approach, they look to ease the patient’s journey and increase the quality and efficiency of patient care. In addition, they have developed a standardized digital health assistant in the form of an app that can help patients better understand their symptoms, get informed assessments on potential causes, and guidance as to which medical professional or facility they should attend next, if necessary.(3,4)
Xund is a health-tech company founded in 2018 in Vienna. They developed several AI-powered projects, including a healthcare assistant designed to improve patient accessibility. They have based their technology on a medical engine, a medical database, and a solutions engine. The latter includes medical content, recommendations, and publications, as well as AI-driven technology for precise decision-making. Their most recent proposal is an API interface allowing hospitals, clinics, and other facilities to build their own health assistant based on Xund’s technology but tailored to their specific needs and patient population.
With this approach, they look to ease the patient’s journey and increase the quality and efficiency of patient care. In addition, they have developed a standardized digital health assistant in the form of an app that can help patients better understand their symptoms, get informed assessments on potential causes, and guidance as to which medical professional or facility they should attend next, if necessary.(3,4)
ImageBiopsy Lab Apps, aid the eye
Founded in 2016, ImageBiopsy Lab has become the leading musculoskeletal AI-supported imaging intelligence company. They have grown significantly and acquired customers and partners worldwide. Innovation is the base for the company’s continuous evolution; by providing AI-based imaging intelligence that optimizes medical workflows, they strive to enable early detection and prevention of MSK diseases. ImageBiopsy Lab develops AI-driven software that digitizes musculoskeletal diagnostics, providing radiologists and orthopedists with fast, quantitative, and standardized reports. The company’s award-winning portfolio includes knee, hip, leg, hand, and spine options.
One of their initiatives is the IB Lab PANDA, a software designed for pediatric bone age and developmental assessment that uses deep learning technology. It is a quick and automated method to estimate bone age, according to Greulich & Pyle, in a standardized format that enables radiologists and physicians to supply accurate child growth and development assessments in a fraction of the time.(5,6)
Founded in 2016, ImageBiopsy Lab has become the leading musculoskeletal AI-supported imaging intelligence company. They have grown significantly and acquired customers and partners worldwide. Innovation is the base for the company’s continuous evolution; by providing AI-based imaging intelligence that optimizes medical workflows, they strive to enable early detection and prevention of MSK diseases.
ImageBiopsy Lab develops AI-driven software that digitizes musculoskeletal diagnostics, providing radiologists and orthopedists with fast, quantitative, and standardized reports. The company’s award-winning portfolio includes knee, hip, leg, hand, and spine options. One of their initiatives is the IB Lab PANDA, a software designed for pediatric bone age and developmental assessment that uses deep learning technology. It is a quick and automated method to estimate bone age, according to Greulich & Pyle, in a standardized format that enables radiologists and physicians to supply accurate child growth and development assessments in a fraction of the time.(5,6)
Solgenium's Solaira, a COVID-19 forecasting platform
Solgenium is a company that offers services in automatic data processing and information technology. From concept and planning to the implementation and evaluation phases, they provide guidance with all stages of strategy, data, and management of projects.
As part of their selection, they have notably developed SOLAIRA, a cloud-based demand model that can predict personnel, infrastructure, and material requirements for COVID-19 patients. SOLAIRA is designed to forecast the expected COVID-19 cases in a region for the next few days at the hospital, institution, or state level for better supply management. COVID-19 case data is subdivided into suspected cases, confirmed cases in the standard ward, and critical and intensive care cases in the intensive care unit. Moreover, the tool shows the estimated effort of the doctors and nurses for these specified patient cohorts. This effort includes admission, discharge, transfer, patient-specific nursing and doctor activities, and potential additional expenses.(7,8)
Medicus.ai, smart reports
Medicus is a leading technology company focusing on innovative digital health solutions in the diagnostic industry. One of their proposals, Smart Reports, is an AI-based digital health solution that helps diagnostics labs and healthcare providers with digital report delivery and analysis.
Smart Reports explains and interprets diagnostic lab reports and translates health-relevant patient input into easy-to-understand, approachable information, tips, and other insights based on a medical reasoning engine. Smart Reports also allows patients to access and own their health data. Other projects established by Medicus.ai include Smart Wellbeing and SafePlay, an app that focuses on general health tips and preventive medicine with a user-friendly interface and a COVID-19 strategic testing platform, respectively.(9,10)
Medicus is a leading technology company focusing on innovative digital health solutions in the diagnostic industry. One of their proposals, Smart Reports, is an AI-based digital health solution that helps diagnostics labs and healthcare providers with digital report delivery and analysis. Smart Reports explains and interprets diagnostic lab reports and translates health-relevant patient input into easy-to-understand, approachable information, tips, and other insights based on a medical reasoning engine. Smart Reports also allows patients to access and own their health data. Other projects established by Medicus.ai include Smart Wellbeing and SafePlay, an app that focuses on general health tips and preventive medicine with a user-friendly interface and a COVID-19 strategic testing platform, respectively.(9,10)
References