AI Medical Compendium Topic

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Unveiling the Attitudes of Medical Faculty Towards the Integration of Artificial Intelligence in Medical Education.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
OBJECTIVE: To explore the attitude of faculty members towards integration of artificial intelligence (AI) and to accelerate the appropriate adaptation of AI tools in medical education.

Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: This study aims to improve the ethical use of machine learning (ML)-based clinical prediction models (CPMs) in shared decision-making for patients with kidney failure on dialysis. We explore factors that inform acceptability, interpretabi...

Just another tool in their repertoire: uncovering insights into public and patient perspectives on clinicians' use of machine learning in perioperative care.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Successful implementation of machine learning-augmented clinical decision support systems (ML-CDSS) in perioperative care requires the prioritization of patient-centric approaches to ensure alignment with societal expectations. We assesse...

Virtual reality with artificial intelligence-led scenarios in nursing education: a project evaluation.

British journal of nursing (Mark Allen Publishing)
AIM: To provide insights into the optimal use of virtual reality (VR) in nursing education by evaluating pre-registration nursing students' experiences in conducting holistic patient assessments while interacting with artificial intelligence (AI)-led...

Physicians' Attitudes Towards Artificial Intelligence: Results of the PEAK Project.

Studies in health technology and informatics
Artificial intelligence (AI) is rapidly reshaping the medical field. This study aimed to investigate the attitudes of physicians towards AI in medical care using focus groups. Most participants seemed to be open to the use of AI in medicine if transp...

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence-Based Prognosis for Patients With Advanced Solid Tumors.

JCO clinical cancer informatics
PURPOSE: Use of artificial intelligence (AI) in cancer care is increasing. What remains unclear is how best to design patient-facing systems that communicate AI output. With oncologist input, we designed an interface that presents patient-specific, m...

Promoting Healthy Aging Using a Robot Support System and Emotion Recognition.

Studies in health technology and informatics
The aging population poses challenges such as loneliness, decreased mobility, and medical conditions. To tackle these issues, a proposed robot platform offers personalized well-being behavior change suggestions. Developed through a user-centered proc...

The Ethics of Socially Assistive Robots in Aged Care. A Focus Group Study With Older Adults in Flanders, Belgium.

The journals of gerontology. Series B, Psychological sciences and social sciences
OBJECTIVES: Socially assistive robots (SARs) need to be studied from older adults' perspective, given their predicted future ubiquity in aged-care settings. Current ethical discourses on SARs in aged care are uninformed by primary stakeholders' ethic...

Smart Work Injury Management (SWIM) System: Artificial Intelligence in Work Disability Management.

Journal of occupational rehabilitation
PURPOSE: This paper aims to illustrate an example of how to set up a work injury database: the Smart Work Injury Management (SWIM) system. It is a secure and centralized cloud platform containing a set of management tools for data storage, data analy...

Social Robots for Elderly Care: An Inventory of Promising Use Cases and Business Models.

Studies in health technology and informatics
This paper discusses a study that aimed to elicit promising application areas and potential business models for social robotics in healthcare. For this goal, we conducted focus groups with care professionals and the management of elderly care organiz...