Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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Multimodal learning-based speech enhancement and separation, recent innovations, new horizons, challenges and real-world applications.

With the increasing global prevalence of disabling hearing loss, speech enhancement technologies hav...

Identifying chemotherapy beneficiaries in nasal and paranasal sinus cancers: epidemiological trends and machine learning insights.

BACKGROUND: Studies on the epidemiological characteristics, treatment strategies and prognosis of na...

Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data.

OBJECTIVE: To predict COVID-19 in hospitalized patients with SARS in a city in southern Brazil by us...

Opportunities and Challenges for Large Language Models in Primary Health Care.

Primary Health Care (PHC) is the cornerstone of the global health care system and the primary object...

Cholera resurges in Zambia: Challenges and future directions.

Cholera remains a major global health challenge, disproportionately affecting low-income countries w...

Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation.

The prevention of falls is paramount in modern healthcare, particularly for the elderly, as falls ca...

[Artificial intelligence in Public Health: opportunities, ethical challenges and future perspectives].

Artificial Intelligence (AI) is transforming Public Health by providing innovative tools to address ...

Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach.

BACKGROUND: Monkeypox, a viral zoonotic disease, is an emerging global health concern, with rising i...

Leveraging artificial intelligence to assess the impact of COVID-19 on the teacher-student relationship in higher education.

The teacher-student relationship has far-reaching implications for educational outcomes at the terti...

Real-Time Monitoring of Personal Protective Equipment Adherence Using On-Device Artificial Intelligence Models.

Personal protective equipment (PPE) is crucial for infection prevention and is effective only when w...

Population Health in Neurology and the Transformative Promise of Artificial Intelligence and Large Language Models.

This manuscript examines the expanding role of population health strategies in neurology, emphasizin...

Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study.

Cholera, an acute diarrheal disease, is a serious concern in developing and underdeveloped areas. A ...

Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism.

The outbreak of infectious diseases can have profound impacts on socio-economic balances globally. A...

Deep learning-based normative database of anterior chamber dimensions for angle closure assessment: the Singapore Chinese Eye Study.

BACKGROUND/ AIMS: The lack of context for anterior segment optical coherence tomography (ASOCT) meas...

ListPred: A predictive ML tool for virulence potential and disinfectant tolerance in Listeria monocytogenes.

Despite current surveillance and sanitation strategies, foodborne pathogens continue to threaten the...

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