AIMC Topic: Primary Health Care
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AI-supported versus manual microscopy of Kato-Katz smears for diagnosis of soil-transmitted helminth infections in a primary healthcare setting.
Scientific reports
Jun 27, 2025
Soil-transmitted helminths primarily comprise Ascaris lumbricoides, Trichuris trichiura, and hookworms, infecting more than 600 million people globally, particularly in underserved communities. Manual microscopy of Kato-Katz thick smears is a widely ...
Perceptions of, Barriers to, and Facilitators of the Use of AI in Primary Care: Systematic Review of Qualitative Studies.
Journal of medical Internet research
Jun 25, 2025
BACKGROUND: Artificial intelligence (AI) has the potential to transform primary care by reducing the considerable bureaucratic burden. However, clinicians and patients share concerns regarding data privacy, security, and potential biases in AI algori...
The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting.
Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas
Jun 16, 2025
Many ways of classifying steatotic liver disease (SLD) with metabolic conditions have been proposed. Thus, SLD-related variables were verified using a decision tree. We tested if the suggested components of the actual classification (metabolic dysfun...
Opportunities, challenges, and requirements for Artificial Intelligence (AI) implementation in Primary Health Care (PHC): a systematic review.
BMC primary care
Jun 9, 2025
BACKGROUND: Artificial Intelligence (AI) has significantly reshaped Primary Health Care (PHC), offering various possibilities and complexities across all functional dimensions. The objective is to review and synthesize available evidence on the oppor...
Generative artificial intelligence for general practice; new potential ahead, but are we ready?
The European journal of general practice
Jun 6, 2025
BACKGROUND: Generative AI (Gen AI) is frequently cited as an innovation to address the current challenges in healthcare, also for primary care. Examples include automating tasks like voice-to-notes transcription or chatbots using large language model...
Accuracy of Artificial Intelligence for Gatekeeping in Referrals to Specialized Care.
JAMA network open
Jun 2, 2025
IMPORTANCE: Integrating artificial intelligence (AI) technologies into gatekeeping holds significant potential, as it efficiently handles repetitive tasks and can process large amounts of information quickly.
The hermeneutic window and machine-based interactions in primary care: how do we prevent depersonalisation?
The British journal of general practice : the journal of the Royal College of General Practitioners
May 22, 2025
BACKGROUND: Digital technologies are transforming healthcare delivery by enhancing accessibility and providing innovative ways to manage increasing patient demand. With the rise of artificial intelligence (AI) and machine learning (ML), a tsunami of ...
Artificial intelligence in primary care: a plausible prospect or distant delusion?
The British journal of general practice : the journal of the Royal College of General Practitioners
May 22, 2025
BACKGROUND: Artificial intelligence (AI) offers an innovative means of changing primary care, yet the impressions of primary care professionals (PCPs) on this potentially revolutionary resource remains unclear.
Efficacy of using a digital health intervention model using community health workers for primary health services in Bangladesh: a repeated cross-sectional observational study.
BMC public health
May 19, 2025
OBJECTIVE: This study aims to evaluate the effectiveness of a digital health intervention model by observing people's health conditions in a rural area of Bangladesh. Through a repeated cross-sectional design, health outcomes were assessed at six-mon...
Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care.
BMC medicine
Apr 30, 2025
BACKGROUND: The aim of our study was to determine whether the application of machine learning could predict PASC by using diagnoses from primary care and prescribed medication 1 year prior to PASC diagnosis.
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