New AI (Artificial Intelligence) Technologies in the Field of Healthcare

 

AI is ruled over every industry due to its unique and useful enhancement. Here you will learn about the new AI (Artificial Intelligence technologies in the field of healthcare. These technologies will definitely be helpful and informative also. If you have any extra information which is related to health then you can submit a guest post on health.

1. CT 3500

With the use of AI-based image reconstruction, the Philips CT-5300 scanner can image with 80% less radiation, 85% less noise, and 60% better low-contrast detectability.

Additionally, AI powers a smart positioning camera that can save up to 23% of the time it takes to position a patient, increase user consistency by up to 70%, and improve manual centering accuracy by up to 50%.

2. AI-Rad Companion

Siemens Healthineers' AI-Rad Companion automates the post-processing of imaging data sets using AI algorithms.

In order to enhance radiologist productivity and manage large caseloads, it attempts to automate standard radiological tasks. It has several modules for various body parts and modalities.

3. Curie

Curie, a medical picture data management framework powered by AI, was developed by Enlitic. It has uses that facilitate data standardisation, such as consistent labelling that is pertinent to clinical settings.

It builds an imaging database to support research and enables historical and real-time picture analysis.

4. IQ3

Ultrasound-on-a-chip technology based on semiconductors powers the IQ3 probe, which takes high-resolution pictures and shows them on a smartphone. Its cloud-based AWS AI algorithms assist in identifying problematic areas in the photos.

5. Navina

The startup Navina created the Navina generative AI assistant, which transforms medical records and information on separate computer displays into natural language interactions, making it easier to handle massive volumes of patient data.

6. Tempus One

Clinicians can quickly access a patient's entire clinical and molecular profile with the help of the Tempus One virtual assistant. The physician can query a variety of additional data sets that are accessible to it in order to assist them in making clinical judgements.

It is intended to support medical professionals in managing genomic testing, which can guide personalised medicine decisions.

7. Sonic DL

Magnetic resonance imaging can be taken up to 12 times faster with GE Healthcare's Sonic DL deep learning technology than it can with traditional methods.

That is quick enough to obtain a high-quality cardiac picture in just one heartbeat. It eliminates the need for patients to hold their breath repeatedly and can cut down on scan times by up to 83%.

8. Microsoft Fabric

It enables businesses to combine data that was previously separated, such as electronic health records, lab systems, claims systems, image archiving and communications systems, and medical equipment.

Using text analytics for health, a Microsoft Azure AI language service, they may use this to extract insights about patient care from unstructured data in seven different languages.

9. Aidoc

Artificial intelligence (AI) is used by Aidoc's cardiovascular disease software to analyse medical scans and compile data, flagging results that human radiologists should be aware of. The technology expedites a radiologist's workflow by providing triage to identify high-priority patients.