AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Patient-Centered Care

Showing 11 to 20 of 69 articles

Clear Filters

The League: A person-centred approach to the development of social robotics for paediatric anxiety.

Health expectations : an international journal of public participation in health care and health policy
BACKGROUND: Social robots are promising tools to improve the quality of life of children and youth living with anxiety and should be developed based on the priorities of end users. However, pathways to include young people in patient-oriented researc...

Patient-Centric In Vitro Fertilization Prognostic Counseling Using Machine Learning for the Pragmatist.

Seminars in reproductive medicine
Although in vitro fertilization (IVF) has become an extremely effective treatment option for infertility, there is significant underutilization of IVF by patients who could benefit from such treatment. In order for patients to choose to consider IVF ...

Family Medicine Must Prepare for Artificial Intelligence.

Journal of the American Board of Family Medicine : JABFM
Artificial Intelligence (AI) is poised to revolutionize family medicine, offering a transformative approach to achieving the Quintuple Aim. This article examines the imperative for family medicine to adapt to the rapidly evolving field of AI, with an...

Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model-Based Toolkit.

JCO clinical cancer informatics
PURPOSE: Patient-centered outcomes (PCOs) are pivotal in cancer treatment, as they directly reflect patients' quality of life. Although multiple studies suggest that factors affecting breast cancer-related morbidity and survival are influenced by tre...

Tabula Rasa: A Case Study in Chronic Pain Management Using Individual-Centric AI.

Studies in health technology and informatics
There are numerous behavioural, social and environmental factors that influence the symptomatology of a chronic health condition. These factors and how they manifest are often very specific to the individual, which creates challenges for applying mac...

The Impact of Collaborative Documentation on Person-Centered Care: Textual Analysis of Clinical Notes.

JMIR medical informatics
BACKGROUND: Collaborative documentation (CD) is a behavioral health practice involving shared writing of clinic visit notes by providers and consumers. Despite widespread dissemination of CD, research on its effectiveness or impact on person-centered...

Emotional Labor and the Problem of Exploitation in Roboticized Care Practices: Enriching the Framework of Care Centred Value Sensitive Design.

Science and engineering ethics
Care ethics has been advanced as a suitable framework for evaluating the ethical significance of assistive robotics. One of the most prominent care ethical contributions to the ethical assessment of assistive robots comes through the work of Aimee Va...

Occupational therapy in the space of artificial intelligence: Ethical considerations and human-centered efforts.

Scandinavian journal of occupational therapy
BACKGROUND: Artificial intelligence (AI) technology is constantly and rapidly evolving and has the potential to benefit occupational therapy (OT) and OT clients. However, AI developments also pose risks and challenges, for example in relation to the ...

Managing Postembolization Syndrome Through a Machine Learning-Based Clinical Decision Support System: A Randomized Controlled Trial.

Computers, informatics, nursing : CIN
Although transarterial chemoembolization has improved as an interventional method for hepatocellular carcinoma, subsequent postembolization syndrome is a threat to the patients' quality of life. This study aimed to evaluate the effectiveness of a cli...

Artificial intelligence for personalized nanomedicine; from material selection to patient outcomes.

Expert opinion on drug delivery
INTRODUCTION: Artificial intelligence (AI) is changing the field of nanomedicine by exploring novel nanomaterials for developing therapies of high efficacy. AI works on larger datasets, finding sought-after nano-properties for different therapeutic a...