Latest Posts
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Fairness and bias correction in machine learning for depression prediction across four study populations
A study found that standard machine learning approaches often exhibit biased behaviours in predicting depression across different populations. It also demonstrated that both standard and novel post-hoc-bias mitigation techniques can effectively reduce unfair bias, though no single model achieves equality of outcomes. The biases that were identified risk reinforcing structural inequalities in mental healthcare, particularly…
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New-Onset Illness Anxiety Disorder After Helicobacter Pylori Infection: A Case Report
In this interesting case study from 2024, a 21-year-old woman developed illness anxiety disorder (IAD), formerly known as hypochondria, following a Helicobacter pylori infection. In the case, even after the H. pylori infection was successfully treated, the patient’s anxiety persisted, affecting her daily life and leading to frequent medical visits and avoidance behaviors. While the study also…
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Value of serum brain-derived neurotrophic factor and glial fibrillary acidic protein for detecting depression in patients with Helicobacter pylori infection
Depression is often associated with Helicobacter pylori and the success of its treatment. In this recent research paper, it was shown that people infected with these bacteria have lower levels of BDNF (a brain health…
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Helicobacter Pylori and Psychiatric Disorders: Comorbidity and Therapeutic Perspectives
This 2023 observational study, conducted over three consecutive years in a psychiatric clinic, followed adults receiving outpatient psychiatric care for different psychiatric disorders. Of those patients, 291 had depression that did not respond to treatment,…
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Turning Evidence Into Action: The AEQUITAS Database
AI tools used in healthcare can carry hidden biases, sometimes performing less accurately for women, ethnic minorities, or other underrepresented groups. But knowing this risk exists in general is one thing. Being able to check…
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Disaster Resilience, Health Emergency & Crisis Management
Proposal: Fostering Health and Community Resilience Proposed Implementation: 2024 – 2026 Call: HORIZON-CL3-2023-DRS-01- Disaster-Resilient Society 2023 Proposed Budget: 3 881 825,00€ Keywords: Disaster resilience and crisis management, Health, emergency, communication Objective: The project aims to enhance societal resilience and support vulnerable groups, particularly during crises. The goals include developing a user-friendly application for efficient communication with vulnerable populations, organizing community resilience training, providing personalized education for disabled groups, fostering local support networks, promoting app awareness, celebrating community strengths, and implementing a rewards system. These objectives align with the work program theme of increasing society’s resilience and addressing vulnerable groups’…
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Addressing bias: artificial intelligence in cardiovascular medicine
AI offers opportunities to transform cardiovascular medicine, but AI algorithms can also have biases of their own. In this commentary, the authors describe several sources of bias in cardiovascular AI. These include differences in how diagnostic tests such as echocardiograms and cardiac MRI are carried out and interpreted, models that learn patterns from their…
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Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation
AI is increasingly used to automatically outline the structures of the heart on cardiac MRI scans, a step that produces measurements used to guide patient care. This study examined whether one of these AI tools performs…
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An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation
Training data is not the only factor that can make AI tools less accurate for some groups of patients. The choice of model can also play a role. This study compared four AI models used to…
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From Principles to Practice: How AEQUITAS Turns Policy into Action
AI systems used in healthcare are governed by strict ethical principles and legal requirements, from the EU AI Act to the EU Charter of Fundamental Rights. But knowing the rules isn’t the same as knowing how…