Health – BAIC

Grupo ULMA – Vision cameras, computers, industrial controller Xplanar

Grupo ULMA – Vision cameras, computers, industrial controller Xplanar Grupo ULMA Sector: Health Business Case Early detection of macular pathologies is crucial to prevent progression to advanced stages and reduce the risk of severe visual impairment, including blindness. Macular pathology affects the most important portion of the retina, where the fovea, responsible for central visual […]

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Ayesa – Cardiac risk prediction

Prediction / Iñaki Suarez

Ayesa – Cardiac risk prediction Ayesa Sector: Health Business Case Improve the triage of patients with non-traumatic pain in the A&E department (ischemic heart disease) to reduce the number of false positives without increasing false negatives. Objectives Correctly classify ischemic heart disease in A&E with emphasis on minimising false negatives that mean that someone may

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Cardiva – Demand Forecasting and Logistics Optimisation

Prediction / Iñaki Suarez

Cardiva – Demand Forecasting and Logistics Optimisation Cardiva Sector: Health Business Case Cardiva is a company in the healthcare sector. Among other products, it manufactures single-use packs for operating rooms. Thanks to the digitisation of the demand management process, Cardiva has been able to service its business model and commercialise these packs under a pay-per-use

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Ikerlan – Federated Models for Predicting the Evolution of ICU Patients

Prediction / Iñaki Suarez

Ikerlan – Federated Models for Predicting the Evolution of ICU Patients Ikerlan Sector: Health Business Case The company currently aims to deliver technological solutions for the healthcare sector, focusing on two main aspects: first, developing predictive models for assessing ICU patient outcomes (improvement, exitus, etc.); and second, implementing these models within a Federated Learning framework

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LKS Next – Deep Learning Systems for Actionable Healthcare Knowledge Generation

Prediction / Iñaki Suarez

LKS Next – Deep Learning Systems for Actionable Healthcare Knowledge Generation LKS Next Sector: Health Business Case Healthcare organisations are increasingly interested in the application of artificial intelligence (AI) to improve healthcare, reduce costs and improve the efficiency of healthcare services. Two of the cases in which this technological transition is to be applied are

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SEIDOR – Deep Brain

Prediction / Iñaki Suarez

SEIDOR – Deep Brain SEIDOR Sector: Health Business Case Automatic brain anatomical substructure segmentation tools and holographic visualisation for diagnostic aid and decision support. Objectives The main objective is to create tools to support clinicians in the diagnosis, treatment and prognosis of brain diseases in which medical imaging is a criterion of great importance for

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SEIDOR – CATALYS: Glaucoma Artificial Intelligence System for Clinical Assistance

Prediction / Iñaki Suarez

SEIDOR – CATALYS: Glaucoma Artificial Intelligence System for Clinical Assistance SEIDOR Sector: Health Business Case Glaucoma is one of the predominant pathologies in ophthalmology, whose monitoring is necessary to follow the patient’s development. It was from this situation that the program Teleglaucoma, designed to monitor patients with different types of glaucoma, was conceived at the

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Grupo ULMA – UMI.dr – AI-based Software for Automatic DR Screening Through Automatic Readings of Retinal Images

Prediction / Iñaki Suarez

Grupo ULMA – UMI.dr – AI-based Software for Automatic DR Screening Through Automatic Readings of Retinal Images Grupo ULMA Sector: Health Business Case 37 million adults (20-79), or 1 in 10, live with diabetes. This number is expected to increase to 643 million by 2030 and 784 million by 2045. Diabetic Retinopathy (DR) is a

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Vicomtech – Predictive AI Models for Heart Failure: Readmission and Decompensation Prediction

Prediction / Iñaki Suarez

Vicomtech – Predictive AI Models for Heart Failure: Readmission and Decompensation Prediction Vicomtech Sector: Health Business Case Heart failure is a chronic disease responsible for a significant number of hospital admissions, poor quality of life and high hospital costs. The development of predictive models for heart failure both within the in-hospital context for predicting potential

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IRISBOND – Mamu, Low Resolution Eye-Tracking Software

Support / Iñaki Suarez

IRISBOND – Mamu, Low Resolution Eye-Tracking Software IRISBOND Sector: Health Business Case The proposal involves the development of a computer vision-based eye tracking algorithm for mobile devices. Taking the capabilities of high-resolution eye tracking devices (Hiru) as a reference to try to replicate such functionalities by lowering the costs of having a dedicated hardware. Objectives

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