Dear Editor,
We are writing to commend the insightful article “Overview of Artificial Intelligence in Medicine,[1]” published in the Journal of Family Medicine and Primary Care (July 2019), in which authors have adeptly illustrated the transformative potential of artificial intelligence (AI) in the medical field, providing a comprehensive overview that underscores both current applications and future possibilities. In addition, we would like to add a few more points where AI can help family physicians and primary care to cater better services.
AI technologies are already revolutionizing healthcare, simplifying administrative workflows, and enhancing clinical decision-making and patient care. At the Primary Health Care (PHC) level, AI can significantly improve healthcare delivery by addressing numerous challenges in community medicine. AI’s impact on predictive analytics and population health management is particularly notable. A study by Obermeyer et al.[2] highlighted that AI algorithms can predict patient outcomes with high accuracy, enabling proactive responses and more efficient resource utilization. AI can process vast amounts of health data, including electronic health records, social determinants, and environmental factors, to detect patterns and forecast disease outbreaks or fatal conditions. This predictive capability allows healthcare providers and public health officials to deploy targeted interventions and resources effectively, reducing disease burdens and improving overall population health.
Telemedicine platforms powered by AI have transformed healthcare accessibility, especially in PHC settings. These platforms have made healthcare services more available, particularly in underserved areas. The WHO recently reported that state-of-the-art telemedicine platforms using AI algorithms facilitate digital consultations and support diagnosis and treatment, breaking geographical barriers and reducing gaps in healthcare delivery to vulnerable communities.[3] In countries like India and Indonesia, where access to healthcare is limited, AI-enabled telemedicine platforms are proving effective. Multi-specialty hospitals use these platforms to offer remote quality care, enhancing health outcomes and patient satisfaction.
AI can also revolutionize preventive care at the PHC level. AI-powered mobile and PC applications for self-diagnosis of chronic diseases are becoming increasingly prevalent. These applications use AI models to process user-provided data, such as symptoms, medical history, and biometric measurements, for individualized health assessments and guidance. For instance, software applications leveraging machine learning models can detect early signs of chronic diseases like diabetes, hypertension, and cardiovascular disease more accurately than some clinicians.[4] These self-diagnosis applications empower individuals to detect serious chronic diseases early, enabling timely lifestyle changes and medical interventions. An AI app for anemia diagnosis can be developed, where users upload pictures of their tongues for analysis, could estimate hemoglobin levels, and prompt individuals to seek timely medical advice.
Moreover, AI’s accuracy in diagnosing major chronic conditions has garnered significant acclaim. For example, Gargeya and Leng[5] developed a deep learning algorithm to analyze retinal images for screening diabetic retinopathy automatically. Similarly, Rajalakshmi et al.[6] highlighted a smartphone-based AI system for the early diagnosis and treatment of diabetic retinopathy from fundus photos. These advancements can transform healthcare delivery at the PHC level by enabling early detection of chronic conditions and improving patient outcomes.
These are the few additional scope of AI in family medicine and primary care. Hope this will be helpful to readers and open new avenues of research on AI. We look forward to continuing the dialogue on the role of AI in shaping the future of community medicine.
Conflicts of interest
There are no conflicts of interest.
Funding Statement
Nil.
References
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