AIMC Topic: Interviews as Topic
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Universally Designed Augmented Reality as Interface for Artificial Intelligence Assisted Decision-Making in Everyday Life Scenarios.
Studies in health technology and informatics
Nov 18, 2024
This paper presents a conceptual prototype that integrates Artificial Intelligence (AI) and Augmented Reality (AR) with the principles of Universal Design (UD) to enhance decision-making in everyday scenarios for a diverse user base, eliminating the ...
Middle Aged
Surveys and Questionnaires
Interviews as Topic
Adolescent
Aged
Young Adult
Adult
Male
User-Centered Design
Sustainable Development
Food Preferences
Medication Therapy Management
Wearable Electronic Devices
User-Computer Interface
Decision Making
Augmented Reality
Humans
Artificial Intelligence
Female
Implementing an artificial intelligence command centre in the NHS: a mixed-methods study.
Health and social care delivery research
Oct 1, 2024
BACKGROUND: Hospital 'command centres' use digital technologies to collect, analyse and present real-time information that may improve patient flow and patient safety. Bradford Royal Infirmary has trialled this approach and presents an opportunity to...
Clinician perspectives on how situational context and augmented intelligence design features impact perceived usefulness of sepsis prediction scores embedded within a simulated electronic health record.
Journal of the American Medical Informatics Association : JAMIA
May 20, 2024
OBJECTIVE: Obtain clinicians' perspectives on early warning scores (EWS) use within context of clinical cases.
Equity and AI governance at academic medical centers.
The American journal of managed care
May 1, 2024
OBJECTIVES: To understand whether and how equity is considered in artificial intelligence/machine learning governance processes at academic medical centers.
'Humans think outside the pixels' - Radiologists' perceptions of using artificial intelligence for breast cancer detection in mammography screening in a clinical setting.
Health informatics journal
Jan 1, 2024
OBJECTIVE: This study aimed to explore radiologists' views on using an artificial intelligence (AI) tool named ScreenTrustCAD with Philips equipment) as a diagnostic decision support tool in mammography screening during a clinical trial at Capio Sank...
Artificial intelligence in primary care practice: Qualitative study to understand perspectives on using AI to derive patient social data.
Canadian family physician Medecin de famille canadien
Jan 1, 2024
OBJECTIVE: To understand the perspectives of primary care clinicians and health system leaders on the use of artificial intelligence (AI) to derive information about patients' social determinants of health.
'I'm over the moon!': patient-perceived outcomes of hepatitis C treatment.
Australian journal of primary health
Aug 1, 2020
Understanding patient-perceived outcomes is crucial for assessing the effectiveness and acceptability of hepatitis C virus (HCV) treatment. This study aimed to explore patient-perceived outcomes of receiving direct-acting antivirals (DAAs). This stud...
Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety.
Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2020
OBJECTIVE: The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety.
Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening: A Qualitative Study.
JAMA dermatology
May 1, 2020
IMPORTANCE: The use of artificial intelligence (AI) is expanding throughout the field of medicine. In dermatology, researchers are evaluating the potential for direct-to-patient and clinician decision-support AI tools to classify skin lesions. Althou...
Male
Skin Neoplasms
Biopsy
Humans
Middle Aged
Reproducibility of Results
Observer Variation
Artificial Intelligence
Qualitative Research
Aged
Health Services Accessibility
Patient Acceptance of Health Care
Female
Interviews as Topic
Adult
Mass Screening
Grounded Theory
Melanoma
Early Detection of Cancer
Physician-Patient Relations
A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.
The Gerontologist
Jan 9, 2019
BACKGROUND AND OBJECTIVES: Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items (72) to be a barrier to using the assessment.
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