Latest AI and machine learning research in schizophrenia for healthcare professionals.
The diagnosis of schizophrenia (SZ) can be challenging due to its diverse symptom presentation. As such, many studies have sought to identify diagnostic biomarkers of SZ using explainable machine learning methods. However, the generalizability of identified biomarkers in many machine learning-based studies is highly questionable given that most studies only analyze explanations from a small number...
Challenges in the automated evaluation of Retrieval-Augmented Generation (RAG) Question-Answering (QA) systems include hallucination problems in domain-specific knowledge and the lack of gold standard benchmarks for company internal tasks. This results in difficulties in evaluating RAG variations, like RAG-Fusion (RAGF), in the context of a product QA task at Infineon Technologies. To solve thes...
Schizophrenia is a debilitating, chronic mental disorder that significantly impacts an individual's cognitive abilities, behavior, and social intera...
Neural networks, whice have had a profound effect on how researchers study complex phenomena, do so through a complex, nonlinear mathematical struct...
We study the biological evolution of low-latency natural neural networks for short-term survival, and its parallels in the development of low latenc...
This review delves into the possible role of artificial intelligence (AI) in medical research, from planning to publication. AI can aid in idea genera...
Novel features derived from imaging and artificial intelligence systems are commonly coupled to construct computer-aided diagnosis (CAD) systems that ...
Recent work has demonstrated that large language models (LLMs) are powerful tools for clinical information extraction from unstructured text. However,...
BACKGROUND: Connectome is understanding the complex organization of the human brain's structural and functional connectivity is essential for gaining ...
When it comes to health, a very widespread problem nowadays is mental health, where almost 18% of the world's population suffers from certain mental i...
Large language models (LLMs) such as ChatGPT have garnered considerable interest for their potential to aid non-native English-speaking researchers. T...
Understanding the structural and functional mechanisms of the brain is challenging for mood and mental disorders. Many neuroimaging techniques are wid...
Identifying subtypes of neuropsychiatric disorders based on characteristics of their brain activity has tremendous potential to contribute to a better...
BACKGROUND AND HYPOTHESIS: The existing developmental bond between fingerprint generation and growth of the central nervous system points to a potenti...
OBJECTIVE: The aim of this study was to qualitatively examine Turkish tweets about schizophrenia in respect of stigmatization and discrimination withi...
BACKGROUND AND HYPOTHESIS: Despite decades of "proof of concept" findings supporting the use of Natural Language Processing (NLP) in psychosis researc...
BACKGROUND: Validated clinical prediction models of short-term remission in psychosis are lacking. Our aim was to develop a clinical prediction model ...