Search Results (11)

Background: The management of hard-to-heal wounds poses a major clinical challenge due to heterogeneous etiology and significant global healthcare costs (estimated at USD 148.64 billion in 2022). Large Language Models (LLMs), such as ChatGPT and Gemini, are emerging as potential decision-support tools. This study aimed to rigorously assess the accuracy and reliability of ChatGPT and Gemini in the visual description and initial therapeutic management of complex wounds based solely on clinical images. Methods: Twenty clinical images of complex wounds from diverse etiologies were independently analyzed by ChatGPT (version dated 15 October 2025) and Gemini (version dated 15 October 2025). The models were queried using two standardized, concise prompts. The AI responses were compared against a clinical gold standard established by the unanimous consensus of an expert panel of three plastic surgeons. Results: Statistical analysis showed no significant difference in overall performance between the two models and the expert consensus. Gemini achieved a slightly higher percentage of perfect agreement in management recommendations (75.0% vs. 60.0% for ChatGPT). Both LLMs demonstrated high proficiency in identifying the etiology of vascular lesions and recognizing critical “red flags,” such as signs of ischemia requiring urgent vascular assessment. Noted divergences included Gemini’s greater suspicion of potential neoplastic etiology and the models’ shared error in suggesting Negative Pressure Wound Therapy (NPWT) in a case potentially contraindicated by severe infection. Conclusions: LLMs, particularly ChatGPT and Gemini, demonstrate significant potential as decision-support systems and educational tools in wound care, offering rapid diagnosis and standardized initial management, especially in non-specialist settings. Instances of divergence in systemic treatments or in atypical presentations highlight the limitations of relying on image-based reasoning alone. Ultimately, LLMs serve as powerful, scalable assets that, under professional supervision, can enhance diagnostic speed and improve care pathways. Full article

Arrhythmogenic cardiomyopathies (ACMs) are a phenotypically and etiologically heterogeneous group of myocardial disorders characterized by fibrotic or fibro-fatty replacement of ventricular myocardium, electrical instability, and an elevated risk of sudden cardiac death. Initially identified as a right ventricular disease, ACMs are now recognized to include biventricular and left-dominant forms. Genetic causes account for a substantial proportion of cases and include desmosomal variants, non-desmosomal variants, and familial gene-elusive forms with no identifiable pathogenic mutation. Nongenetic etiologies, including post-inflammatory, autoimmune, and infiltrative mechanisms, may mimic the phenotype. In many patients, the disease remains idiopathic despite comprehensive evaluation. Cardiac magnetic resonance imaging has emerged as a key tool for identifying non-ischemic scar patterns and for distinguishing arrhythmogenic phenotypes from other cardiomyopathies. Emerging classifications propose the unifying concept of scarring cardiomyopathies based on shared structural substrates, although global consensus is evolving. Risk stratification remains challenging, particularly in patients without overt systolic dysfunction or identifiable genetic markers. Advances in tissue phenotyping, multi-omics, and artificial intelligence hold promise for improved prognostic assessment and individualized therapy. Full article

Non-consensual intimate media sharing (NCIMS)—defined as the non-consensual sharing of sexually explicit images or videos—has notably increased in recent years, despite legislative actions to tackle this. This study aimed to investigate whether the Dark Triad traits of narcissism, Machiavellianism, and psychopathy—as well as sex and social desirability—predicted NCIMS proclivity, enjoyment, and approval in UK university students. A total of 653 participants were recruited through Prolific, the University of Birmingham survey circle, and social media. All participants completed various measures to assess self-reported levels of Dark Triad traits, social desirability, and NCIMS proclivity, enjoyment, and approval. The results showed that the models for each multiple linear regression (NCIMS proclivity, enjoyment, and approval) were statistically significant, though only certain variables were independent predictors for each regression. For proclivity, only psychopathy independently added to the prediction. For enjoyment, significant predictors were sex, Machiavellianism, and psychopathy. For approval, only Machiavellianism added statistically to the prediction. This research adds to the growing literature base around NCIMS, specifically within university students in the UK, and provides strong evidence for the development and implementation of interventions designed to address the likelihood of individuals perpetrating NCIMS. Full article

An emerging corpus exists pertaining to societal judgements of image-based sexual harassment and abuse (IBSHA). This type of research centres on the non-consensual sharing of intimate images (NCSII; sometimes called ‘revenge pornography’), but recent legislative developments seeking to convict those who engage in the unsolicited sending of intimate images (USII; sometimes called ‘dick pics’) evoke a need to broaden this literature. Moreover, in the context of recent and highly publicised accounts featuring both celebrity perpetrators and victims of IBSHA, it is important to understand whether celebrity status impacts said judgements. We present three studies outlining judgement differences between vignettes featuring NCSII and USII as a function of perpetrator/victim celebrity status and as predicted by previously implicated personality traits and beliefs. In Studies 1 (N = 261) and 2 (N = 237), though vignettes involving NCSII were perceived more criminal in nature and anticipated to evoke more harm than USII, said victims also received more blame. Contrary to our hypotheses, there was no further impact of celebrity status on either the perpetrator (Study 2) or victim (Study 3; N = 207). Finally, although dark personality traits (associated with callousness and low empathy) predicted variation in judgements of IBSHA across all studies, in Study 2, psychopathic personality traits specifically predicted proclivity to engage in NCSII but not USII. The results are discussed in reference to the importance of IBSHA-related education on an international level and the pursuit of further legislation in this area. Full article

Image-based sexual abuse describes the offline or online non-consensual sharing of real or fake images or videos with (un)known others of a person that are either sexually explicit or sexually suggestive. New information and communication technologies (ICTs) provide many open-ended and undefined possibilities for image-based sexual abuse (IBSA), such as ‘revenge pornography’, ‘upskirting’, deepfake pornography, sexual spycamming, and cyberflashing, to name just a few. These forms of abuse refer to the online, and also at times offline, non-consensual distribution or sharing of explicit images or videos of someone else by ex-partners, partners, others, or hackers seeking revenge, entertainment, or peer group status. The vast majority of these are committed by men against women. Given the many adverse impacts on physical and psychological health and well-being it has on its victim-survivors, exploring this form of online gender-sexual abuse and violation becomes an important endeavor. Situating the discussion within debates on gender and sexuality, the entry discusses the increasing use of new technologies for online gender-sexual abuse and violation, highlighting the motivations of those perpetrating IBSA, the negative physical and psychological impacts of IBSA on victim-survivors, and what has been, and could be, done to combat image-based sexual abuses and other misuses of new technologies, notably through legal, policy, and practice interventions within and between nations. Full article

Online harassment, particularly cyberbullying and the non-consensual sharing of intimate images, is a widespread phenomenon among adolescents and young adults. Descriptive research was carried out to investigate any differences among Italian school classes in the perception of cybercrime through a real-case scenario. Following the Italian school system, the final sample of 1777 adolescents (Mage = 15.37, SD = 1.65; Male = 52%) was divided into three groups based on the school class attended: middle school (N = 562; Mage = 13.37, SD = 0.48); high school biennium (N = 728; Mage = 15.55, SD = 0.50), and triennium (N = 487, Mage = 17.40, SD = 0.71). Participants completed a self-report questionnaire investigating the use of the Internet and the perception of a real case scenario involving the non-consensual sharing of intimate images and cyberbullying received by the National Centre for Combating Child Pornography Online (NCPO). Results showed differences among the three groups’ perceptions of the event’s features, motivations underlying the offense, victim-blaming and harassment justification (e.g., cyberbullying, in particular non-consensual sharing of intimate images, is recognized as a crime as age increases). The findings provide significant insights for future research and age-specific factors to consider when developing prevention programs for online risks. Full article

Illegally filmed images, the sharing of non-consensually filmed images over social media, and the secret recording and distribution of celebrity images are increasing. To catch distributors of illegally filmed images, many investigation techniques based on an analysis of the file attribute information of the original images have been introduced. As forensic science advances, various types of anti-forensic technologies are being produced, requiring investigators to open and analyze all videos from the suspect’s storage devices, raising the question of the invasion of privacy during the investigation. The suspect can even file a lawsuit, which makes issuing a warrant and conducting an investigation difficult. Thus, it is necessary to detect the original and manipulated images without needing to directly go through multiple videos. We propose an optimization analysis and detection method for extracting original and manipulated images from seized devices of suspects. In addition, to increase the detection rate of both original and manipulated images, we suggest a precise measurement approach for comparative thresholds. Thus, the proposed method is a new digital forensic methodology for comparing and identifying original and manipulated images accurately without the need for opening videos individually in a suspect’s mobile device. Full article

Transarterial embolization has shown promise as a safe, effective, and less invasive treatment modality for benign liver lesions (hemangioma, focal nodular hyperplasia (FNH), and hepatic adenoma (HA)) with fewer complications compared to surgical intervention. There is no consensus regarding the most appropriate embolization material(s) for the treatment of benign liver tumors. The purpose of this study was to review the current literature regarding the transarterial embolization of benign liver tumors and to share our single center experience. This was a non-blinded, retrospective, single-institution review of the bland embolization of benign liver tumors. Clinical data and imaging before and after embolization were used to evaluate lesion response to transarterial embolization. Twelve patients were included in the study. Five patients with six hemangiomas were treated. Pain was a presenting complaint in all five of these patients. The median change in tumor volume was −12.4% and ranged from −30.1% to +42.3%. One patient with two FNH lesions was treated, and both lesion volumes decreased by more than 50%. Six patients with 10 adenomas were treated. Pain was a presenting complaint in three patients, and five patients had a lesion >5 cm. The median change in tumor volume was −67.0% and ranged from −92.9% to +65.8%. Bland transarterial embolization of liver hemangiomas, FNH, and HA can be an effective and minimally invasive treatment modality to control the size and/or symptoms of these lesions. There is a variable response depending on tumor type and the embolization materials used. Full article

Chlorophyll fluorescence (ChlF) information offers a deep insight into the plant physiological status by reason of the close relationship it has with the photosynthetic activity. The unmanned aerial systems (UAS)-based assessment of solar induced ChlF (SIF) using non-imaging spectrometers and radiance-based retrieval methods, has the potential to provide spatio-temporal photosynthetic performance information at field scale. The objective of this manuscript is to report the main advances in the development of UAS-based methods for SIF retrieval with non-imaging spectrometers through the latest scientific contributions, some of which are being developed within the frame of the Training on Remote Sensing for Ecosystem Modelling (TRuStEE) program. Investigations from the Universities of Edinburgh (School of Geosciences) and Tasmania (School of Technology, Environments and Design) are first presented, both sharing the principle of the spectroradiometer optical path bifurcation throughout, the so called ‘Piccolo-Doppio’ and ‘AirSIF’ systems, respectively. Furthermore, JB Hyperspectral Devices’ ongoing investigations towards the closest possible characterization of the atmospheric interference suffered by orbital platforms are outlined. The latest approach focuses on the observation of one single ground point across a multiple-kilometer atmosphere vertical column using the high altitude UAS named as AirFloX, mounted on a specifically designed and manufactured fixed wing platform: ‘FloXPlane’. We present technical details and preliminary results obtained from each instrument, a summary of their main characteristics, and finally the remaining challenges and open research questions are addressed. On the basis of the presented findings, the consensus is that SIF can be retrieved from low altitude spectroscopy. However, the UAS-based methods for SIF retrieval still present uncertainties associated with the current sensor characteristics and the spatio-temporal mismatching between aerial and ground measurements, which complicate robust validations. Complementary studies regarding the standardization of calibration methods and the characterization of spectroradiometers and data processing workflows are also required. Moreover, other open research questions such as those related to the implementation of atmospheric correction, bidirectional reflectance distribution function (BRDF) correction, and accurate surface elevation models remain to be addressed. Full article

The non-consensual sharing of an intimate image is a serious breach of a person’s right to privacy and can lead to severe psychosocial consequences. However, little research has been conducted on the reasons for consuming intimate pictures that have been shared non-consensually. This study aims to investigate how the supposed consensual or non-consensual distribution of sexting images affects the perception and evaluation of these images. Participants were randomly assigned to one of two groups. The same intimate images were shown to all participants. However, one group assumed that the photos were shared voluntarily, whereas the other group were told that the photos were distributed non-consensually. While the participants completed several tasks such as rating the sexual attractiveness of the depicted person, their eye-movements were being tracked. The results from this study show that viewing behavior and the evaluation of sexting images are influenced by the supposed way of distribution. In line with objectification theory men who assumed that the pictures were distributed non-consensually spent more time looking at the body of the depicted person. This so-called ‘objectifying gaze’ was also more pronounced in participants with higher tendencies to accept myths about sexual aggression or general tendencies to objectify others. In conclusion, these results suggest that prevention campaigns promoting ‘sexting abstinence’ and thus attributing responsibility for non-consensual distribution of such images to the depicted persons are insufficient. Rather, it is necessary to emphasize the illegitimacy of the non-consensual distribution of sexting images, especially among male consumers of the material. Full article

Feature-based matching methods have been widely used in remote sensing image matching given their capability to achieve excellent performance despite image geometric and radiometric distortions. However, most of the feature-based methods are unreliable for complex background variations, because the gradient or other image grayscale information used to construct the feature descriptor is sensitive to image background variations. Recently, deep learning-based methods have been proven suitable for high-level feature representation and comparison in image matching. Inspired by the progresses made in deep learning, a new technical framework for remote sensing image matching based on the Siamese convolutional neural network is presented in this paper. First, a Siamese-type network architecture is designed to simultaneously learn the features and the corresponding similarity metric from labeled training examples of matching and non-matching true-color patch pairs. In the proposed network, two streams of convolutional and pooling layers sharing identical weights are arranged without the manually designed features. The number of convolutional layers is determined based on the factors that affect image matching. The sigmoid function is employed to compute the matching and non-matching probabilities in the output layer. Second, a gridding sub-pixel Harris algorithm is used to obtain the accurate localization of candidate matches. Third, a Gaussian pyramid coupling quadtree is adopted to gradually narrow down the searching space of the candidate matches, and multiscale patches are compared synchronously. Subsequently, a similarity measure based on the output of the sigmoid is adopted to find the initial matches. Finally, the random sample consensus algorithm and the whole-to-local quadratic polynomial constraints are used to remove false matches. In the experiments, different types of satellite datasets, such as ZY3, GF1, IKONOS, and Google Earth images, with complex background variations are used to evaluate the performance of the proposed method. The experimental results demonstrate that the proposed method, which can significantly improve the matching performance of multi-temporal remote sensing images with complex background variations, is better than the state-of-the-art matching methods. In our experiments, the proposed method obtained a large number of evenly distributed matches (at least 10 times more than other methods) and achieved a high accuracy (less than 1 pixel in terms of root mean square error). Full article