Healthcare

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Treatment recommendation

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Medical Assistants

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WebioMed clinical decision support system

Support system for optimization and personalization of drug therapy

For:

Public and private healthcare system, pharmaceutical companies

Scope:

This system is a full range of integrated solutions for the selection of the optimal type of drug, its dose, and its combination with other drugs.

Goal:

Other

AI solution to predict post-operative visual acuity for LASIK surgeries

For:

Hospitals, patients undergoing LASIK surgeries.

Scope:

Predicting post-operative visual acuity for laser-assisted in SItu keratomileusis (LASIK) surgeries from retrospective LASIK surgery data with patient follow- ups.

Goal:

Automate a Business Process

Improving the knowledge base of prescriptions for drug and non-drug therapy and its use as a tool in support of medical professionals

For:

Doctors and patients

Scope:

Providing the medical professional with methods and means that would allow, within the time allotted for the appointment of 0 patient with a known nosology, to make a high-quality choice of drugs and to formulate a prescription corresponding to good medical practices

Goal:

Improved Employee Efficiency

AI-based mapping of optical to multi-electrode catheter recordings for atrial fibrillation treatment

For:

Hospitals, cardiologists

Scope:

Predicting possible targets for atrial fibrillation ablation based on explanted human heart data of two modalities (multi-electrode mapping and near-infrared optical imaging)

Goal:

Improved Product Development / R&D

WebioMed clinical decision support system

For:

End-users (physician, nurse, laboratory technologist, pharmacist, patient) Sales and marketing team CDSS product development and maintenance team (system administrator, system developer, system architect, project manager, and system maintenance)

Scope:

Screening for cardiovascular disease risk prediction with machine and deep learning methods

Goal:

Other

Integrated recommendation solution for prosthodontic treatments

For:

Dentist Hospital

Scope:

In order to support complicated prosthetic treatments according to the patient's condition, the artificial intelligence technology provides a comprehensive analysis of the given information and situations to recommend various prosthetic treatment methods and visualize them to support doctors and patients.

Goal:

Improved Employee Efficiency

WebioMed clinical decision support system

For:

Goal:

Other

Problem addressed

Advances in precision medicine would require an increasingly individualized prognostic evaluation of patients in order to provide the patient with

appropriate therapy.

Scope of use case

Screening for cardiovascular disease risk prediction with machine and deep

learning methods

Description

The CDSS WebioMed is a ready-made, trained solution to

identify high-risk patients and prevent morbidity and

mortality. The characteristics of this system include:

automatic risk stratification of patients;

a more efficient organization of preventive work aimed

at a personal group of patients with a high risk of

complications and death;

the ability to route patients depending on the

assessment obtained;

reduced morbidity and mortality;

reliable digital assistance, trained on the results of

evidence-based medicine and modern clinical

guidelines;

automatic identification of risk factors;

automatic determination of the likelihood of developing

a disease;

compliance with clinical practice guidelines;

reduced time of the patient risk assessment;

powerful artificial intelligence to evaluate medical data

and identify risk factors without development costs;

the addition of medical decision support functions;

ready service for evaluating EHR and to identify the risk

factors;

reducing the costs of development of the medical

information system.

Text

NLP

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