How an AI platform could help create better Screening Campaigns

The majority of global disease burden and mortality are caused by non-communicable diseases. However, a sizable portion of patients in both high-income nations and low-income and middle-income countries are still uninformed that they have these life threatening illnesses.

Many diagnostic systems are extremely costly, invasive, or need skilled healthcare professionals to operate, making their use in environments with limited resources impossible.
AI software for lung nodule evaluation utilizing deep learning (DL) could be able to recognize certain patterns in imaging data and provide outstanding results.

Why are doctors afraid of AI? 

Artificial intelligence (AI) technology has advanced extremely fast in the last years, owing in great part to breakthroughs in machine learning, which is closely tied to data science and statistical prediction. Modeling is involved across several elements of the health sector, including diagnosing, treatment, management, and logistics. Because of the link between machine learning’s capabilities and the needs of the health-care space, it’s widely assumed that AI will have a significant impact.

AI vs Human: How to read an X-ray like a pro

In today’s blog post we will learn what are the steps that a radiologist follows when he does a chest radiography for a patient who may be coming for pulmonary problems.  
It is the most common diagnostic visualization technique used to assess respiratory issues. Its popularity comes from a number of variables, including the fact that it is inexpensive, quick, and simple to conduct, produces almost no irradiation, and is both accessible and feasible to patients and doctors.

Is it ethical to use AI in healthcare?

Artificial general intelligence has numerous advantages. It has the potential to transform both public and private operations. Recognition software, for example, is excellent news for healthcare: it can aid in the diagnosis of diseases including cancer and early onset dementia. However, such mainstream AI uses demonstrate how this emerging technology presents moral considerations.

How an AI-based software for medical imaging diagnosis could be a learning tool for young doctors

Analyzing and interpreting medical images is not an easy job, it requires highly developed skills and years of practice. In Romania, the young doctors that are choosing radiology as a further specialization need to finalize a 4-year medical residency before obtaining a full license to practice medicine as medical image specialists. Usually, they are doing […]

How Artificial Intelligence helps doctors in screening, triaging, and analyzing patients in one of the largest medical institutions in Western Romania

Timișoara County Hospital is one of the largestt and most advanced medical institutions in Western Romania, accounting for a large flow of interregional patients. On a daily basis, thousands of patients are coming to this medical institution, and several hundred of them reach the medical imaging department. This department is analyzing an increasingly large number […]