Artificial Intelligence Will Help To Predict the Risks of Death From COVID-19

28 de octubre de 2025

2 min de lectura

British scientists have discovered that artificial intelligence is much more effective than medical experts in using cardiac ultrasound to identify COVID-19 patients who have a greater chance of experiencing complications and increased risk of death.

Puntos clave

British scientists have discovered that artificial intelligence is much more effective than medical experts in using cardiac ultrasound to identify COVID-19 patients who have a greater chance of experiencing complications and increased risk of death.
What the ultrasound test will not show
The scale of the research

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Autor del artículo

Dra. Asya

Asesora científica

Científico jefe de Ornament Health AG Endocrinólogo Doctor en Ciencias Médicas Graduado de la Escuela de Estudios Avanzados SISSA, Trieste, Italia, con una especialización en enfermedades neurodegenerativas Anteriormente: Becario de investigación, Universidad de Oslo Mejor científico joven de Italia, 2006 Ganador de la beca internacional Human Frontier ## Experiencia Elina dirige el equipo internacional de científicos médicos de Ornament Health AG y es responsable de la información médica y científica y de la prevención de enfermedades. Elina también dirige el consejo asesor científico internacional y aporta su experiencia científica profesional en las áreas de desarrollo más prometedoras de la empresa. Anteriormente, Elina Sharifullina trabajó para la empresa biofarmacéutica internacional Swedish Orphan Biovitrum (SOBI), gestionando el marketing en Rusia y los países de la CEI. También trabajó con la empresa internacional MSD (EE.UU.) en medicamentos para el tratamiento de la diabetes mellitus y fue asesora médica de la oficina de Moscú de Eli Lilly (EE.UU.) en el campo de la endocrinología. Elina se graduó en la Universidad Médica Estatal de Kazán con una especialización en endocrinología y, en 2006, se doctoró en enfermedades neurodegenerativas en la Escuela Internacional de Investigación Avanzada SISSA (Trieste, Italia). De 2007 a 2010, Elina fue becaria de investigación en la Universidad de Oslo (Noruega). Elina ha dedicado la mayor parte de su vida a la ciencia y la medicina, investigando en los campos de la diabetes mellitus, la obesidad, las enfermedades del sistema nervioso central y el biohacking. Fue galardonada con el título de mejor científica joven de Italia en 2006 y es la ganadora de la beca internacional Human Frontier.

Experto en salud

What the ultrasound test will not show

After analyzing the videos of echocardiograms, the algorithms developed by the company Ultromics and Oxford University were able to assess the functioning of the heart muscle and detect signs of COVID-19 damage, which are related to higher mortality rate both inside the hospital and in the months following treatment.

Normally, the strength of the heart is measured using the ejection fraction or the proportion of blood as a percentage expelled from the heart with each beat. However, this percentage can remain within the norm despite higher muscle strain or can change following arterial pressure. Additionally, the interpretation of measurements can vary depending on how the test is administered.

Instead, mapping the structure of the heart with a grid of points and tracking the movement of the ventricles at each twist, squeeze and contraction have allowed the AI to identify the patterns of muscle weakness.

The report, presented during the annual scientific session of the American College of Cardiology, has shown that the changes in the shape of the left and right ventricles, as well as the age of patients and history of lung diseases, allows for predicting the chances of developing a severe form of COVID-19 and a higher risk of death in the hospital.

The scale of the research

The conclusions were based on the data of 870 patients hospitalized with COVID-19 in several countries. Almost half of them received intensive care, while 27 % were placed on a ventilator.

188 patients died in hospital, and 50 of them died within three to six months after hospitalization. The AI algorithms were found to be more accurate in predicting severe cases than a group of experts trained in reading echocardiograms.

Assisting doctors

At the beginning of the year, Ultromics obtained FDA approval to apply its AI-based software to help doctors diagnose ischemic heart disease.

Ultromics’ cloud app EchoGo Pro automatically determines cardiac function and analyzes the strain on the heart muscle's walls.

The FDA has also approved cardiac devices from Philips, Eko, and Caption Health, all of which can help medics detect heart damage from COVID-19.

Sources: Fierce Biotech

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