AIMC Topic: Cross-Sectional Studies

Clear Filters Showing 241 to 250 of 1591 articles

Clinical Management of Wasp Stings Using Large Language Models: Cross-Sectional Evaluation Study.

Journal of medical Internet research
BACKGROUND: Wasp stings are a significant public health concern in many parts of the world, particularly in tropical and subtropical regions. The venom of wasps contains a variety of bioactive compounds that can lead to a wide range of clinical effec...

Physician perspectives on Artificial Intelligence in healthcare: a cross-sectional study of child-focused care in a Turkish tertiary hospital.

International journal of medical informatics
BACKGROUND: Artificial intelligence (AI) is transforming healthcare, yet many physicians struggle with its understanding and adoption. Existing research often overlooks developing countries like Turkey and rarely focuses on physicians caring for pedi...

Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study.

Scientific reports
Kinesiophobia is particularly common in postoperative lung cancer patients, which causes patients may be reluctant to cough and move due to misperception, internal fear or fear of pain, and avoid rehabilitation training affecting postoperative recove...

Assessing medical students' readiness for artificial intelligence after pre-clinical training.

BMC medical education
BACKGROUND: Artificial intelligence (AI) is becoming increasingly relevant in healthcare, necessitating healthcare professionals' proficiency in its use. Medical students and practitioners require fundamental understanding and skills development to m...

Artificial Intelligence Anxiety in Nursing Students: The Impact of Self-efficacy.

Computers, informatics, nursing : CIN
As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence anxiety may occur because of a lack of knowledge about the effects of artificial intelligence, its outcomes, and how it will be used, as well as potent...

Undesired nexus poor health status of child under-five: A case study of Pakistan.

PloS one
Childhood morbidity and mortality are key indicators of human development, particularly reflecting poor health conditions in children. In Pakistan, child mortality remains a serious problem despite efforts to reduce it. One factor that may be associa...

Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection: Cross-Sectional Study.

JMIR formative research
BACKGROUND: Postpartum depression (PPD) is a mood disorder affecting 1 in 7 women after childbirth that is often underscreened and underdetected. If not diagnosed and treated, PPD is associated with long-term developmental challenges in the child and...

Assessing ChatGPT adoption in Jordanian medical education: a UTAUT model approach.

BMC medical education
BACKGROUND: ChatGPT has shown significant promise in transforming medical education by streamlining research and improving teaching methods. However, its adoption in Middle Eastern medical education has remained underexplored. This study investigated...

Artificial intelligence in primary care: a plausible prospect or distant delusion?

The British journal of general practice : the journal of the Royal College of General Practitioners
BACKGROUND: Artificial intelligence (AI) offers an innovative means of changing primary care, yet the impressions of primary care professionals (PCPs) on this potentially revolutionary resource remains unclear.