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29 Results Found

  • Article
  • Open Access
717 Views
18 Pages

24 October 2025

Adapting open-source large language models (LLMs) to specialized domains remains a critical challenge due to domain knowledge gaps, data scarcity, and reference hallucination. Existing approaches often neglect the structural characteristics of domain...

  • Brief Report
  • Open Access
1,395 Views
13 Pages

Differential Association of the DISC1 Interactome in Hallucinations and Delusions

  • Araceli Gutiérrez-Rodríguez,
  • Alma Delia Genis-Mendoza,
  • Jorge Ameth Villatoro-Velázquez,
  • María Elena Medina-Mora and
  • Humberto Nicolini

8 September 2025

Multiple genes within the DISC1 (Disrupted-in-Schizophrenia-1) interactome have been implicated in psychotic disorders, which are characterized by hallucinations, delusions, negative symptoms, and disorganized behavior. However, the genetic associati...

  • Communication
  • Open Access
4,793 Views
15 Pages

4 November 2024

Large language models have demonstrated impressive capabilities in many domains. But they sometimes generate irrelevant or nonsensical text, or produce outputs that deviate from the provided input, an occurrence commonly referred to as hallucination....

  • Article
  • Open Access
2 Citations
1,553 Views
14 Pages

This study evaluates digital object identifier (DOI) hallucination in large language model (LLM)-generated scholarly citations, with a focus on systematic geographic disparities. To conduct this study, we systematically evaluated four LLMs (GPT-4o-mi...

  • Systematic Review
  • Open Access
3 Citations
5,469 Views
13 Pages

Phantosmia in Parkinson’s Disease: A Systematic Review of the Phenomenology of Olfactory Hallucinations

  • Tommaso Ercoli,
  • Caterina Francesca Bagella,
  • Claudia Frau,
  • Elisa Ruiu,
  • Sabrine Othmani,
  • Giansalvo Gusinu,
  • Carla Masala,
  • Leonardo Antonio Sechi,
  • Paolo Solla and
  • Giovanni Defazio

22 December 2023

Olfactory dysfunction is a prevalent non-motor symptom in Parkinson’s disease (PD), affecting approximately 65–90% of subjects. PD patients may also report odor perception in the absence of any external source, often referred to as olfact...

  • Article
  • Open Access
204 Views
23 Pages

Sentiment analysis (SA) has become an essential tool for analyzing social media content in order to monitor public opinion and support digital analytics. Although transformer-based SA models exhibit remarkable performance, they lack mechanisms to mit...

  • Article
  • Open Access
11 Citations
7,128 Views
21 Pages

11 September 2024

Large language models (LLMs) are widely integrated into autonomous driving systems to enhance their operational intelligence and responsiveness and improve self-driving vehicles’ overall performance. Despite these advances, LLMs still struggle...

  • Tutorial
  • Open Access
5,839 Views
21 Pages

16 August 2025

Large language models (LLMs) now match or exceed human performance on many open-ended language tasks, yet they continue to produce fluent but incorrect statements, which is a failure mode widely referred to as hallucination. In low-stakes settings th...

  • Article
  • Open Access
2,623 Views
16 Pages

27 February 2023

Gabriella Trebits was a prisoner of the Bergen-Belsen concentration camp between November 1944 and April 1945. The spaces present in her diary include both the places of the camp and her typhoid hallucinations. Gabriella described venues through thei...

  • Article
  • Open Access
7 Citations
1,693 Views
15 Pages

Thyro-GenAI: A Chatbot Using Retrieval-Augmented Generative Models for Personalized Thyroid Disease Management

  • Minjeong Shin,
  • Junho Song,
  • Myung-Gwan Kim,
  • Hyeong Won Yu,
  • Eun Kyung Choe and
  • Young Jun Chai

3 April 2025

Background: Large language models (LLMs) have the potential to enhance information processing and clinical reasoning in the healthcare industry but are hindered by inaccuracies and hallucinations. The retrieval-augmented generation (RAG) technique ma...

  • Article
  • Open Access
543 Views
13 Pages

Visual Large Language Models in Radiology: A Systematic Multimodel Evaluation of Diagnostic Accuracy and Hallucinations

  • Marc Sebastian von der Stück,
  • Roman Vuskov,
  • Simon Westfechtel,
  • Robert Siepmann,
  • Christiane Kuhl,
  • Daniel Truhn and
  • Sven Nebelung

1 January 2026

Visual large language models (VLLMs) are discussed as potential tools for assisting radiologists in image interpretation, yet their clinical value remains unclear. This study provides a systematic and comprehensive comparison of general-purpose and b...

  • Review
  • Open Access
10 Citations
3,093 Views
15 Pages

Revolutionizing MASLD: How Artificial Intelligence Is Shaping the Future of Liver Care

  • Nicola Pugliese,
  • Arianna Bertazzoni,
  • Cesare Hassan,
  • Jörn M. Schattenberg and
  • Alessio Aghemo

20 February 2025

Metabolic dysfunction-associated steatotic liver disease (MASLD) is emerging as a leading cause of chronic liver disease. In recent years, artificial intelligence (AI) has attracted significant attention in healthcare, particularly in diagnostics, pa...

  • Review
  • Open Access
2 Citations
3,082 Views
32 Pages

The Use of Large Language Models in Ophthalmology: A Scoping Review on Current Use-Cases and Considerations for Future Works in This Field

  • Ye King Clarence See,
  • Khai Shin Alva Lim,
  • Wei Yung Au,
  • Si Yin Charlene Chia,
  • Xiuyi Fan and
  • Zhenghao Kelvin Li

The advancement of generative artificial intelligence (AI) has resulted in its use permeating many areas of life. Amidst this eruption of scientific output, a wide range of research regarding the usage of Large Language Models (LLMs) in ophthalmology...

  • Review
  • Open Access
1 Citations
1,817 Views
20 Pages

The Temporal Evolution of Large Language Model Performance: A Comparative Analysis of Past and Current Outputs in Scientific and Medical Research

  • Ishith Seth,
  • Gianluca Marcaccini,
  • Bryan Lim,
  • Jennifer Novo,
  • Stephen Bacchi,
  • Roberto Cuomo,
  • Richard J. Ross and
  • Warren M. Rozen

Background: Large language models (LLMs) such as ChatGPT have evolved rapidly, with notable improvements in coherence, factual accuracy, and contextual relevance. However, their academic and clinical applicability remains under scrutiny. This study e...

  • Article
  • Open Access
7 Citations
2,619 Views
16 Pages

Assessment of Tissue Expression of the Oxytocin–Vasopressin Pathway in the Placenta of Women with a First-Episode Psychosis during Pregnancy

  • Miguel A. Ortega,
  • Cielo García-Montero,
  • Óscar Fraile-Martinez,
  • Diego De Leon-Oliva,
  • Diego Liviu Boaru,
  • Coral Bravo,
  • Juan A. De Leon-Luis,
  • Miguel A. Saez,
  • Angel Asúnsolo and
  • Guillermo Lahera
  • + 10 authors

Psychosis refers to a mental health condition characterized by a loss of touch with reality, comprising delusions, hallucinations, disorganized thought, disorganized behavior, catatonia, and negative symptoms. A first-episode psychosis (FEP) is a rar...

  • Article
  • Open Access
9 Citations
1,608 Views
8 Pages

3 February 2012

Dementia with Lewy bodies was first recognized as a separate entity about 30 years ago. The prevalence varies from 0% to 5% in the general population, and this disease accounts for 0% to 30.5% of all dementia cases. Dementia with Lewy bodies is consi...

  • Article
  • Open Access
2,306 Views
21 Pages

25 August 2025

General large language models (LLMs) often suffer from semantic misinterpretation, information redundancy, and hallucinated content when applied to educational question-answering tasks. These issues hinder their effectiveness in supporting students&r...

  • Article
  • Open Access
4 Citations
3,527 Views
19 Pages

Restoration and Enhancement of Historical Stereo Photos

  • Marco Fanfani,
  • Carlo Colombo and
  • Fabio Bellavia

Restoration of digital visual media acquired from repositories of historical photographic and cinematographic material is of key importance for the preservation, study and transmission of the legacy of past cultures to the coming generations. In this...

  • Article
  • Open Access

BanglaOCT2025: A Population-Specific Fovea-Centric OCT Dataset with Self-Supervised Volumetric Restoration Using Flip-Flop Swin Transformers

  • Chinmay Bepery,
  • G. M. Atiqur Rahaman,
  • Rameswar Debnath,
  • Sajib Saha,
  • Md. Shafiqul Islam,
  • Md. Emranul Islam Abir and
  • Sanjay Kumar Sarker
Diagnostics2026, 16(3), 420;https://doi.org/10.3390/diagnostics16030420 
(registering DOI)

1 February 2026

Background: Age-related macular degeneration (AMD) is a major cause of vision loss, yet publicly available Optical Coherence Tomography (OCT) datasets lack demographic diversity, particularly from South Asian populations. Existing datasets largely re...

  • Article
  • Open Access
2 Citations
2,733 Views
28 Pages

Knee osteoarthritis (KOA) is a prevalent condition globally, leading to significant pain and disability, particularly in individuals over the age of 40. While exercise has been shown to reduce symptoms and improve physical function and quality of lif...

  • Article
  • Open Access
1,982 Views
20 Pages

10 November 2025

With the development of large language model (LLM) technology, AI-assisted education systems are gradually being widely used. Learning Path Recommendation (LPR) is an important task in personalized instructional scenarios. AI-assisted LPR is gaining...

  • Review
  • Open Access
121 Citations
18,467 Views
34 Pages

Biased Opioid Ligands

  • Abdelfattah Faouzi,
  • Balazs R. Varga and
  • Susruta Majumdar

16 September 2020

Achieving effective pain management is one of the major challenges associated with modern day medicine. Opioids, such as morphine, have been the reference treatment for moderate to severe acute pain not excluding chronic pain modalities. Opioids act...

  • Commentary
  • Open Access
10 Citations
7,581 Views
9 Pages

SARS-CoV-2 Invasion and Pathological Links to Prion Disease

  • Walter J. Lukiw,
  • Vivian R. Jaber,
  • Aileen I. Pogue and
  • Yuhai Zhao

7 September 2022

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the COVID-19 disease, is a highly infectious and transmissible viral pathogen that continues to impact human health globally. Nearly ~600 million people have been in...

  • Article
  • Open Access
13 Citations
2,890 Views
12 Pages

A Novel KCNN2 Variant in a Family with Essential Tremor Plus: Clinical Characteristics and In Silico Analysis

  • Maria d’Apolito,
  • Caterina Ceccarini,
  • Rosa Savino,
  • Iolanda Adipietro,
  • Ighli di Bari,
  • Rosa Santacroce,
  • Maria Curcetti,
  • Giovanna D’Andrea,
  • Anna-Irma Croce and
  • Maurizio Margaglione
  • + 2 authors

29 June 2023

Background: Essential tremor (ET) is one of the more common movement disorders. Current diagnosis is solely based on clinical findings. ET appears to be inherited in an autosomal dominant pattern. Several loci on specific chromosomes have been studie...

  • Review
  • Open Access
6 Citations
13,829 Views
17 Pages

Exploring the Literature on Narcolepsy: Insights into the Sleep Disorder That Strikes during the Day

  • Ana-Maria Mațotă,
  • Andrei Bordeianu,
  • Emilia Severin and
  • Alexandra Jidovu

12 October 2023

Narcolepsy is a chronic sleep disorder that disrupts the regulation of a person’s sleep–wake cycle, leading to significant challenges in daily functioning. It is characterized by excessive daytime sleepiness, sudden muscle weakness (catap...

  • Article
  • Open Access
297 Views
39 Pages

Trustworthy AI-IoT for Citizen-Centric Smart Cities: The IMTPS Framework for Intelligent Multimodal Crowd Sensing

  • Wei Li,
  • Ke Li,
  • Zixuan Xu,
  • Mengjie Wu,
  • Yang Wu,
  • Yang Xiong,
  • Shijie Huang,
  • Yijie Yin,
  • Yiping Ma and
  • Haitao Zhang

12 January 2026

The fusion of Artificial Intelligence and the Internet of Things (AI-IoT, also widely referred to as AIoT) offers transformative potential for smart cities, yet presents a critical challenge: how to process heterogeneous data streams from intelligent...

  • Article
  • Open Access
4 Citations
2,183 Views
15 Pages

Gaining the ability to audit the behavior of deep learning (DL) denoising models is of crucial importance to prevent potential hallucinations and adversarial clinical consequences. We present a preliminary version of AntiHalluciNet, which is designed...

  • Review
  • Open Access
782 Views
24 Pages

Innovative Detection and Mitigation of Ergot Alkaloids in Cereals: Advancing Food Safety

  • Maria Balatsou,
  • Aikaterini Koutsaviti,
  • Yiannis Sarigiannis and
  • Christos C. Petrou

3 December 2025

Background/Objectives: Ergot alkaloids are mycotoxins produced mainly by fungi of the genus Claviceps, infecting a wide variety of plants, especially cereals. These toxins usually manifest as black, hardened sclerotia (ergots), though they may also b...