AI Medical Compendium Journal:
BMC health services research

Showing 31 to 40 of 54 articles

Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care.

BMC health services research
BACKGROUND: To date, no opinion surveys has been conducted among Russian physicians to study their awareness about artificial intelligence. With a survey, we aimed to evaluate the attitudes of stakeholders to the usage of technologies employing AI in...

Development of a patients' satisfaction analysis system using machine learning and lexicon-based methods.

BMC health services research
BACKGROUND: Patients' rights are integral to medical ethics. This study aimed to perform sentiment analysis and opinion mining on patients' messages by a combination of lexicon-based and machine learning methods to identify positive or negative comme...

A rise-assisting robot extends life space and improves facial expressions of nursing home residents.

BMC health services research
BACKGROUND: The introduction of nursing care-support devices using robotic technology is expected to reduce the task burden in long-term care facilities.

Artificial intelligence-enhanced care pathway planning and scheduling system: content validity assessment of required functionalities.

BMC health services research
BACKGROUND: Artificial intelligence (AI) and machine learning are transforming the optimization of clinical and patient workflows in healthcare. There is a need for research to specify clinical requirements for AI-enhanced care pathway planning and s...

Early prediction of patient discharge disposition in acute neurological care using machine learning.

BMC health services research
BACKGROUND: Acute neurological complications are some of the leading causes of death and disability in the U.S. The medical professionals that treat patients in this setting are tasked with deciding where (e.g., home or facility), how, and when to di...

Enhancing the quality of cognitive behavioral therapy in community mental health through artificial intelligence generated fidelity feedback (Project AFFECT): a study protocol.

BMC health services research
BACKGROUND: Each year, millions of Americans receive evidence-based psychotherapies (EBPs) like cognitive behavioral therapy (CBT) for the treatment of mental and behavioral health problems. Yet, at present, there is no scalable method for evaluating...

Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study.

BMC health services research
BACKGROUND: Technological progress in artificial intelligence has led to the increasing popularity of virtual assistants, i.e., embodied or disembodied conversational agents that allow chatting with a technical system in a natural language. However, ...

Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden.

BMC health services research
BACKGROUND: Artificial intelligence (AI) for healthcare presents potential solutions to some of the challenges faced by health systems around the world. However, it is well established in implementation and innovation research that novel technologies...

A deep learning based multimodal interaction system for bed ridden and immobile hospital admitted patients: design, development and evaluation.

BMC health services research
BACKGROUND: Hospital cabins are a part and parcel of the healthcare system. Most patients admitted in hospital cabins reside in bedridden and immobile conditions. Though different kinds of systems exist to aid such patients, most of them focus on spe...

Influence of artificial intelligence on the work design of emergency department clinicians a systematic literature review.

BMC health services research
OBJECTIVE: This systematic literature review aims to demonstrate how Artificial Intelligence (AI) is currently used in emergency departments (ED) and how it alters the work design of ED clinicians. AI is still new and unknown to many healthcare profe...