Detail page augment my business
Healthcare
❯
Treatment recommendation
❯Medical Assistants
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
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