Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review
An integrative review investigating the incorporation of artificial intelligence (AI) and
machine learning (ML) based decision support systems in mental health care settings was …
machine learning (ML) based decision support systems in mental health care settings was …
Exploring the transformative role of artificial intelligence and metaverse in education: A comprehensive review
Introduction: this review paper provides a comprehensive examination of the applications
and impact of artificial intelligence (AI) in the field of education. With advancements in AI …
and impact of artificial intelligence (AI) in the field of education. With advancements in AI …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study
Background Artificial intelligence (AI) models in real-world implementation are scarce. Our
study aimed to develop a CT angiography (CTA)-based AI model for intracranial aneurysm …
study aimed to develop a CT angiography (CTA)-based AI model for intracranial aneurysm …
Use of artificial intelligence in critical care: opportunities and obstacles
Background Perhaps nowhere else in the healthcare system than in the intensive care unit
environment are the challenges to create useful models with direct time-critical clinical …
environment are the challenges to create useful models with direct time-critical clinical …
Peer review of GPT-4 technical report and systems card
The study provides a comprehensive review of OpenAI's Generative Pre-trained Transformer
4 (GPT-4) technical report, with an emphasis on applications in high-risk settings like …
4 (GPT-4) technical report, with an emphasis on applications in high-risk settings like …
Application of artificial intelligence for the diagnosis and treatment of liver diseases
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
[HTML][HTML] Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic …
Background Proximal femoral fractures are an important clinical and public health issue
associated with substantial morbidity and early mortality. Artificial intelligence might offer …
associated with substantial morbidity and early mortality. Artificial intelligence might offer …