Tricuspid regurgitation (TR) remains underdiagnosed due to the lack of effective screening tools. We developed a self-distilled and pre-trained transformer model for detecting TR (SPEED-TR) from electrocardiography. The model was trained using 466,149 electrocardiogram-echocardiogram…
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Grade 2 subclinical hypothyroidism (G2SCH) is associated with an increased risk of various diseases but is rarely detected before symptom onset. This study aims to develop a machine learning-based prediction model for G2SCH using…
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Pathology supplier Synnovis is contacting NHS organisations which had data stolen and published online following a major cyber attack last year.
The ransomware attack on 4 June 2024, which led to a patient death, caused widespread…
Akram Hossain, MBA, A-CSPO®, CBAP
Artificial intelligence in healthcare is moving into a new phase. What was once dominated by research pilots and one-off experiments is now becoming a matter of ownership. Hospitals, medical device…
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Bryan Hill, Life Sciences Digital Health & Innovation VP at Cognizant
As AI agents move from concept to colleague, the life sciences workforce is about to expand – no desks required.
While much of the activity…
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Michael Sevilla Hughes, category manager – health at NHS Shared Business Services (NHS SBS) (Credit: NHS SBS)
NHS Shared Business Services (NHS SBS) has launched an ‘Online Sexual Health Services’ framework agreement designed to…
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The COVID-19 pandemic permanently reshaped healthcare work, accelerating the shift toward hybrid care models and distributed teams. But for many organizations, legacy virtual desktop infrastructure solutions — weighed down by complexity, performance issues and…
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GE HealthCare’s newest imaging AI to undergo provider testing | Healthcare IT News
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AI is entering the exam room faster than many expected, but will patients accept it? And will all clinicians trust it? The early wins on documentation are clear, yet adoption hinges on something less…
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Efficient and accurate identification of genetic alterations of non-small cell lung cancer is a critical diagnostic process for targeted therapies. Utilizing advanced modern deep learning is a potential solution that can accurately predict genetic…
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