Results 241 to 250 of about 229,925 (327)

The Lived Experience of Mothers of Children Who Have Been Sexually Abused‐ an Interpretative Phenomenological Analysis

open access: yesJournal of Clinical Psychology, EarlyView.
ABSTRACT Objective Mothers of children who are survivors of sexual violence experience significant distress from the discovery of their child's abuse. Previous research has mostly focused on the mental health symptoms arising from this type of trauma, rather than the personal journey and meaning mothers take from these incidents.
Dympna Browne   +4 more
wiley   +1 more source

The integration of generative artificial intelligence and machine learning in healthcare: Current applications and future directions

open access: yesJournal of Intelligent Medicine, EarlyView.
Abstract Machine learning (ML) and generative artificial intelligence (GAI) in recent years are rapidly revolutionizing the healthcare industry offering improved precision and efficiency of healthcare delivery. The use of these advanced technologies in healthcare such as medical imaging, drug discoveries, predictive analytics, and personalized medicine
Muhammad Umar   +10 more
wiley   +1 more source

Safeguarding large language models: a survey. [PDF]

open access: yesArtif Intell Rev
Dong Y   +11 more
europepmc   +1 more source

Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Traumatic Brain Injury (TBI) is a global health concern, with mild TBI (mTBI) being the most common form. Despite its prevalence, accurately diagnosing mTBI remains a significant challenge. While advanced neuroimaging techniques like diffusion tensor imaging (DTI) offer promise for more robust diagnosis, their clinical application ...
Christian John A. Saludar   +8 more
wiley   +1 more source

Preparing for Tomorrow's Teamwork: Insights From eSports on How Human Expertise Shapes Training Needs for AI‐Integrated Work

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster   +5 more
wiley   +1 more source

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