Transgender and gender diverse (TGD) individuals face significant healthcare barriers, resulting in inequities and unmet needs. Mobile health (mHealth) applications offer promising solutions by providing accessible, cost-effective, personalized, and gender-affirming care. This systematic review,…
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We developed and validated models to predict 1- and 2-week risk of non-elective hospitalization (NEH) and sepsis hospitalization following outpatient clinic, emergency department treat and release (EDTR), or hospitalization encounters. We employed data from…
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Ayesha Rahim (right) and Victoria Betton (left) at the Equity Charter stand on the showfloor of Rewired 2025 (Credit: Jamie Cooper)
The Equity Charter was formally launched at Digital Health Rewired 2025 last week,…
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Current clinician-based and automated risk assessment methods treat the risk of suicide-related behaviors (SRBs) as static, while in actual clinical practice, SRB risk fluctuates over time. Here, we develop two closely related model classes,…
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Researchers at the University of Westminster have developed a chatbot for discussing sensitive topics, which they believe could help reduce health inequalities.
The study, published in the journal PLOS Digital Health on 13 February 2025,…
Large Language Models (LLMs) have shown promise in clinical applications through prompt engineering, allowing flexible clinical predictions. However, they struggle to produce reliable prediction probabilities, which are crucial for transparency and decision-making. While explicit…
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Emergency admissions (EA), where a patient requires urgent in-hospital care, are a major challenge for healthcare systems. The development of risk prediction models can partly alleviate this problem by supporting primary care interventions and…
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Digital Health and the Equity Charter have joined forces to tackle racism through a partnership at Rewired 2025.
Founders of the Equity Charter, which aims to combat discrimination in the sector, will formally launch its…
Looking to artificial intelligence to help address the undertreatment of pain in certain patient groups, researchers at Mass General Brigham tested whether large language models could improve race-based disparities in pain perception and prescribing. The…
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The mass rollout of AI-powered genomic health prediction (AIGHP) could pose significant risks concerning privacy and discrimination, a report by the Ada Lovelace Institute and the Nuffield Council on Bioethics (NCOB) has warned.
AIGHP refers…
