AIMC Topic: Health Personnel

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From Healthcare Technology to Care Robot-Literate Practitioners.

Studies in health technology and informatics
Current forms of health technology literacies fail to fully address the multifaceted nature of care robot literacy (CRL). As an occupational asset for healthcare practitioners, CRL involves the ability to use and interact with mobile, artificially in...

Global Health care Professionals' Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study.

JMIR medical education
BACKGROUND: ChatGPT is a large language model-based chatbot developed by OpenAI. ChatGPT has many potential applications to health care, including enhanced diagnostic accuracy and efficiency, improved treatment planning, and better patient outcomes. ...

Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers' perspectives.

BMC cancer
BACKGROUND: Mobile health (mHealth) applications (apps) integrated with artificial intelligence for skin cancer triage are increasingly available to the general public. Nevertheless, their actual uptake is limited. Although endorsement by healthcare ...

Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: a machine-learning approach.

Epidemiology and psychiatric sciences
AIMS: Studies conducted during the COVID-19 pandemic found high occurrence of suicidal thoughts and behaviours (STBs) among healthcare workers (HCWs). The current study aimed to (1) develop a machine learning-based prediction model for future STBs us...

Healthcare professionals' perspectives on artificial intelligence in patient care: a systematic review of hindering and facilitating factors on different levels.

BMC health services research
BACKGROUND: Artificial intelligence (AI) applications present opportunities to enhance the diagnosis, prognosis, and treatment of various diseases. To successfully integrate and utilize AI in healthcare, it is crucial to understand the perspectives o...

Unveiling Public Stigma for Borderline Personality Disorder: A Comparative Study of Artificial Intelligence and Mental Health Care Providers.

Personality and mental health
Generative artificial intelligence (GAI) programs can identify symptoms and make recommendations for treatment for mental disorders, including borderline personality disorder (BPD). Despite GAI's potential as a clinical tool, stereotypes are inherent...

cMOOC Recommendations to Enhance AI Literacy Among Healthcare Professionals.

Studies in health technology and informatics
BACKGROUND: Applications of artificial intelligence (AI) are finding their way into many areas of society, including healthcare and show their potential in this domain. To evaluate these new technologies and use them wisely, healthcare professionals ...

Evaluation of Knowledge, Attitudes, and Practices among Healthcare Professionals toward Role of Artificial Intelligence in Healthcare.

The Journal of the Association of Physicians of India
BACKGROUND: Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, treatment planning, and patient management. However, the successful integration of AI depends on healthcare professionals' (HCPs) knowledge, attitudes, and ...

Artificial Intelligence-Guided Lung Ultrasound by Nonexperts.

JAMA cardiology
IMPORTANCE: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of arti...

Learning to Teach AI: Understanding the Needs of Healthcare Professionals.

Studies in health technology and informatics
As Artificial Intelligence (AI) technologies become more integrated into clinical settings to optimize care, healthcare professionals (HCPs) will need to become more adept in responsibly using these novel technologies to augment patient care. A quali...