AIMC Topic: Internet

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Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data.

Nucleic acids research
The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database expands the utility of the ontology for the examination and comparison of genetic variation, phenotype, protein, drug and epitope data through the lens ...

Creating a place for caregivers in personal health: the iHealthSpace copilot program and diabetes care.

Journal of diabetes science and technology
BACKGROUND: As America's baby boom generation reaches retirement, the number of elders, and, in turn, the number of lay individuals who support them, will continue to increase. With the important services caregivers provide, it is critical that we re...

Evaluating ChatGPT's Utility in Addressing Socioeconomic Disparities in Burn Patients: A Comparative Study With Google.

Journal of burn care & research : official publication of the American Burn Association
Patients from low-socioeconomic status (SES) backgrounds face barriers to quality burn care, such as limited healthcare access and follow-up. Many turn to online resources like Google, which may provide overwhelming or irrelevant information. This st...

GPT-4 as a Source of Patient Information for Carpal Tunnel Surgery: A Comparative Analysis Against Google Web Search.

The Journal of the American Academy of Orthopaedic Surgeons
INTRODUCTION: Carpal tunnel surgery (CTS) accounts for approximately 577,000 surgeries in the United States annually. This high frequency raises concerns over the dissemination of medical information through artificial intelligence chatbots, Google, ...

Applying machine learning to predict bowel preparation adequacy in elderly patients for colonoscopy: development and validation of a web-based prediction tool.

Annals of medicine
BACKGROUND: Adequate bowel preparation is crucial for effective colonoscopy, especially in elderly patients who face a high risk of inadequate preparation. This study develops and validates a machine learning model to predict bowel preparation adequa...

AI-IoT integration in Tanzania's primary healthcare system: a narrative review.

Journal of health organization and management
PURPOSE: This narrative review explores the integration of artificial intelligence (AI) and Internet of Things (IoT) technologies in Tanzania's primary healthcare system. It aims to identify barriers to adoption, propose strategies for effective impl...

Improving readability of shoulder and elbow surgery online patient education material with Chat GPT (Chat Generative Pretrained Transformer) 4.

Journal of shoulder and elbow surgery
BACKGROUND: Health literacy is crucial for effective doctor-patient communication, particularly for surgical patients who need to comprehend complex procedures and care protocols. The American Medical Association and National Institutes of Health sug...

Evaluating the quality and readability of online information about hidradenitis suppurativa: a systematic review.

Clinical and experimental dermatology
Hidradenitis suppurativa (HS) is a chronic inflammatory skin disorder associated with considerable physical, psychological and social burdens. Despite increasing recognition, diagnostic delays remain common, often prompting patients to seek informati...

Use of Client-Side Machine Learning Models for Privacy-Preserving Healthcare Predictions - A Deployment Case Study.

Studies in health technology and informatics
INTRODUCTION: Machine learning (ML) and deep learning (DL) models in healthcare traditionally rely on server-centric architectures, where sensitive patient data is transmitted to external servers for processing via frameworks like Flask, raising sign...

From the World Wide Web to AI: Why We Must Learn From Our Past to Transform the Future of Medical Education.

Academic medicine : journal of the Association of American Medical Colleges
In 1989, the World Wide Web was proposed as a practical solution to connect scientists globally. That innovation later transformed how knowledge was accessed and shared across all sectors, including health care and education. While initially met with...