Results 131 to 140 of about 54,330 (258)

Anti‐NMDA receptor autoimmune encephalitis associated with ovarian teratoma: A case series and literature review

International Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 23-30, April 2025.
Abstract Autoimmune encephalitis is a group of disorders characterized by symptoms of dysfunction of the limbic and extra‐limbic systems that occur in association with antibodies against intracellular antigens, synapses, or proteins located on the surface of nerve cells. Anti‐NMDA (N‐methyl‐D‐aspartate) receptor encephalitis was first described in 2007
Pham Ba Nha, Nguyen Phuong Tu, Nguyen Viet Ha, Duong Thi Thu Hien, Nguyen Thi Thu Phuong, Nguyen Anh Son, Nguyen Tien Hoang   +6 more
wiley   +1 more source

The We‐Relationship as a Key to Addressing Dementia‐Related Ambiguous Loss

Journal of Applied Philosophy, EarlyView.
ABSTRACT Pauline Boss describes the challenges faced by people caring for family members with dementia in terms of ambiguous loss – a condition in which the physical presence of the person with dementia coexists with their psychological absence. This article proposes the concept of we‐relationship as a key to addressing dementia‐related ambiguous loss.
Takuya Niikawa, Xue Li
wiley   +1 more source

Who Am I When You're a Bot? Relational Identity and AI Companions

Journal of Applied Philosophy, EarlyView.
ABSTRACT Self‐conceptions provide a framework through which we can make sense of ourselves, interpret and navigate the world, plan our lives, and relate to others. Relational influences can greatly shape them, for instance, when others react to us or offer advice. What if this ‘other’ is not a human being, but an AI?
Muriel Leuenberger
wiley   +1 more source

Using Virtual Reality Social Environments to Promote Outcomes' Generalization of AVATAR Therapy for Distressing Voices: A Case Study

Journal of Clinical Psychology, Volume 81, Issue 6, Page 516-525, June 2025.
ABSTRACT AVATAR therapy (AT) works by facilitating a ‘face‐to‐face’ dialog between the person and a digital representation (avatar) of their persecutory voice. Although there is cumulative evidence of this way of working with voices, enhancing the therapeutic focus on improved confidence and a sense of control of the voices in social situations ...
Mar Rus‐Calafell, Nils Ehrbar, Tobias Teismann, Silvia Schneider, Ekincan Tas, Simon Schuster, Clementine Edwards, Mark Huckvale, Thomas Craig, Philippa Garety, Thomas Ward   +10 more
wiley   +1 more source

Occipital lobe epilepsy presenting as content‐specific reading‐induced seizures

Epileptic Disorders, EarlyView.
Christopher M. Kyper, Lauren E. Chorny, William O. Tatum IV   +2 more
wiley   +1 more source

Use and Perceptions of Large Language Models Among Dental Students: Implications for Dental Education

Journal of Dental Education, EarlyView.
ABSTRACT Purpose This study aimed to quantify the prevalence and use cases of large language models (LLMs) among dental students, estimate perceived usefulness (learning enhancement; time saved), characterize concerns (accuracy, ethics/integrity, appropriateness), and derive actionable implications for curriculum and clinical training.
Dhruv Khurana, Amani Rashed, Zina Tambil, Anthony Firek, Pranav Parasher, Sonam Khurana   +5 more
wiley   +1 more source

Deciphering nodal burden in thyroid carcinoma: A dedicated survey of age, lymph node ratio, log odds of positive nodes, and preoperative prediction models

Journal of Intelligent Medicine, EarlyView.
Abstract Evidence regarding the prognosis of thyroid carcinoma is heterogeneous, ranging from age effects and nodal burden metrics, such as lymph node ratio (LNR) and log odds of positive nodes (LODDS), to preoperative imaging models comprising ultrasound, CEUS, and radiomics.
Mennatallah Sherif, Mohanad A. Deif, Eman K. Elsayed   +2 more
wiley   +1 more source

Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL). Purpose This study evaluates the reliability and interchangeability of MRF‐derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis.
Mika T. Nevalainen, Olli Nykänen, Jyri Järvinen, Antti Kemppainen, Lasse Räsänen, Victor Casula, Martijn Cloos, Riccardo Lattanzi, Mikko J. Nissi, Miika T. Nieminen   +9 more
wiley   +1 more source

Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI

Journal of Medical Radiation Sciences, EarlyView.
ChatGPT can provide structured guidance, support self‐assessment and scaffold learning processes that bridge classroom knowledge and clinical expectations. However, AI must be embedded in ways that uphold the core principles of radiographic practice: accuracy, reflective judgment, ethical reasoning, empathy and patient‐centred care.
Minh T. Chau, Haydn Kerr, Clare L. Singh, Bismark Ofori‐Manteaw, Elio Arruzza, Kelly Bentley‐Spuur   +5 more
wiley   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source