Language and thought

BACKGROUND AND OBJECTIVES: In health care, large language models such as Generative Pretrained Transformers (GPTs), trained on extensive text datasets, have potential applications in reducing health care disparities across regions and populations. Previous software developed for lesion localization has been limited in scope. This study aims to evaluate the capability of GPT-4 for lesion localization based on clinical presentation. METHODS: GPT-4 was prompted using history and neurologic physical examination (H&P) from published cases of acute stroke followed by questions for clinical reasoning with answering for "single or multiple lesions," "side," and "brain region" using Zero-Shot Chain-of-Thought and Text Classification prompting...

OBJECTIVE: Aim: To study the structure and characteristics of psychopathological symptoms in FM who left Ukraine as a result of the full-scale armed aggression of the Russian Federation against Ukraine, and internally displaced persons, in a comparative aspect. PATIENTS AND METHODS: Materials and Methods: Examination was performed in compliance with the principles of biomedical ethics, based on informed consent. Research was provided on the basis of the Ternopil Regional Clinical Psychoneurological Hospital...

BACKGROUND: Large language models (LLMs) have shown remarkable capabilities in natural language processing (NLP), especially in domains where labeled data are scarce or expensive, such as the clinical domain. However, to unlock the clinical knowledge hidden in these LLMs, we need to design effective prompts that can guide them to perform specific clinical NLP tasks without any task-specific training data. This is known as in-context learning, which is an art and science that requires understanding the strengths and weaknesses of different LLMs and prompt engineering approaches...

BACKGROUND: Previous investigations of associations between children's Theory of Mind (ToM) and parents' use of words relating to mental states (or mental state talk; MST) have predominantly been performed using cross-sectional designs and false belief tasks as indicators of ToM. METHODS: We here report a longitudinal study of 3-5 year-olds (n = 80) investigating ToM development using the ToM scale and three different parental MST types: the absolute frequency of words, the proportions of words, and the vocabulary size...

BACKGROUND: Major depressive disorder is one of the leading causes of disability worldwide. Recently, the WHO has highlighted the negative impact of recent crises (COVID-19 pandemic, war in Ukraine, economic crisis). Although most international guidelines recommend psychological and psychosocial interventions as a first-line treatment for mild to moderate depression, access remains limited in France due to limited availability of trained clinicians, high costs for patients in a context of non-reimbursement and fear of stigmatisation...

Communication needs to be complex enough to be functional while minimizing learning and production costs. Recent work suggests that the vocalizations and gestures of some songbirds, cetaceans and great apes may conform to linguistic laws that reflect this trade-off between efficiency and complexity. In studies of non-human communication, though, clustering signals into types cannot be done a priori , and decisions about the appropriate grain of analysis may affect statistical signals in the data. The aim of this study was to assess the evidence for language-like efficiency and structure in house finch ( Haemorhous mexicanus ) song across three levels of granularity in syllable clustering...

OBJECTIVE: The objective was to assess the performance of a context-enriched large language model (LLM) compared with international neurosurgical experts on questions related to the management of vestibular schwannoma. Furthermore, another objective was to develop a chat-based platform incorporating in-text citations, references, and memory to enable accurate, relevant, and reliable information in real time. METHODS: The analysis involved 1) creating a data set through web scraping, 2) developing a chat-based platform called neuroGPT-X, 3) enlisting 8 expert neurosurgeons across international centers to independently create questions (n = 1) and to answer (n = 4) and evaluate responses (n = 3) while blinded, and 4) analyzing the evaluation results on the management of vestibular schwannoma...

OBJECTIVE: Personal and family history of suicidal thoughts and behaviors (PSH and FSH, respectively) are significant risk factors associated with future suicide events. These are often captured in narrative clinical notes in electronic health records (EHRs). Collaboratively, Weill Cornell Medicine (WCM), Northwestern Medicine (NM), and the University of Florida (UF) developed and validated deep learning (DL)-based natural language processing (NLP) tools to detect PSH and FSH from such notes...

BACKGROUND: Health disparities exist in end-of-life (EOL) care. Individuals and communities that are marginalized due to their race, ethnicity, income, geographic location, language, or cultural background experience systemic barriers to access and receive lower quality EOL care. Advance care planning (ACP) prepares patients and their caregivers for EOL decision-making for the purpose of promoting high-quality EOL care. Low engagement in ACP among marginalized populations is thought to have contributed to disparity in EOL care...

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We retrospectively analyzed data from 15 patients, with a normal pre-operative cognitive performance, undergoing awake surgery for left fronto-temporal low-grade glioma. We combined a pre-surgical measure (fMRI maps of motor- and language-related centers) with intra-surgical measures (MNI-registered cortical sites data obtained during intra-operative direct electrical stimulation, DES, while they performed the two most common language tasks: number counting and picture naming). Selective DES effects along the precentral gyrus/inferior frontal gyrus (and/or the connected speech articulation network) were obtained...

Medical travel and transnational healthcare involve various difficulties such as the distance and disconnect between patients and healthcare providers, language barriers or logistical challenges of moving ill bodies across space. Medical travel facilitation steps in with some sort of brokerage service that contributes to overcoming or managing these difficulties and, as this paper suggests, acts to create a quality of 'smoothness'. By unpacking three salient facilitation practices, namely connecting, communicating, and coordinating, this paper conceptualises the empirically derived category of 'smoothness'...

The integration of large language models (LLMs) into healthcare, particularly in nephrology, represents a significant advancement in applying advanced technology to patient care, medical research, and education. These advanced models have progressed from simple text processors to tools capable of deep language understanding, offering innovative ways to handle health-related data, thus improving medical practice efficiency and effectiveness. A significant challenge in medical applications of LLMs is their imperfect accuracy and/or tendency to produce hallucinations-outputs that are factually incorrect or irrelevant...

BACKGROUND: This paper investigates initial exuberance and emotions surrounding ChatGPT's first three months of launch (1 December 2022-1 March 2023). The impetus for studying active discussions surrounding its implications, fears, and opinions is motivated by its nascent popularity and potential to disrupt existing professions; compounded by its significance as a crucial inflexion point in history. Capturing the public zeitgeist on new innovations-much like the advent of the printing press, radio, newspapers, or the internet-provides a retrospective overview of public sentiments, common themes, and issues...

IMPORTANCE: Disruption in school and the workplace are health concerns for transgender people. OBJECTIVE: To evaluate transgender individuals' thoughts and comfort with how others perceive their gender identity (social affirmation) and its association with outness in the workplace and mistreatment at work or school. DESIGN: Cross-sectional survey. PARTICIPANTS: Survey respondents older than age 18 yr from the Study of Transition, Outcomes & Gender cohort (N = 696; n = 350 assigned male at birth, n = 346 assigned female at birth [AFAB])...

BACKGROUND: A growing number of mobile health (mHealth) technologies are being developed to support HIV preexposure prophylaxis (PrEP) adherence and persistence; however, most tools have focused on men who have sex with men (MSM), and few are available in Spanish. To maximize the potential impact of these tools in reducing gender and racial/ethnic disparities and promoting health equity, mHealth tools tailored to Spanish-speaking people and transgender women are critically needed. OBJECTIVE: The aim of this study is to adapt and tailor 2 mHealth technologies, PrEPmate and DOT Diary, to support daily PrEP adherence and persistence among Spanish-speaking MSM and English- and Spanish-speaking transgender women and to evaluate the feasibility and acceptability of these tools...

Rapid recent advances in information technology have opened the door for artificial intelligence (AI)-related technologies to be applied extensively across many industries. The Ministry of Education has emphasized the importance of cultivating advanced-level professionals in diverse fields, particularly in smart machinery, the Asia-Silicon Valley sector, green energy technology, biotechnology, national defense, new agricultural, and circular economy industries, to enhance innovation and promote industrial competitiveness (Kuo, 2019)...

Asymmetry between the left and right hemisphere is a key feature of brain organization. Hemispheric functional specialization underlies some of the most advanced human-defining cognitive operations, such as articulated language, perspective taking, or rapid detection of facial cues. Yet, genetic investigations into brain asymmetry have mostly relied on common variants, which typically exert small effects on brain-related phenotypes. Here, we leverage rare genomic deletions and duplications to study how genetic alterations reverberate in human brain and behavior...

PURPOSE: Worldwide clinical knowledge is expanding rapidly, but physicians have sparse time to review scientific literature. Large language models (eg, Chat Generative Pretrained Transformer [ChatGPT]), might help summarize and prioritize research articles to review. However, large language models sometimes "hallucinate" incorrect information. METHODS: We evaluated ChatGPT's ability to summarize 140 peer-reviewed abstracts from 14 journals. Physicians rated the quality, accuracy, and bias of the ChatGPT summaries...

OBJECTIVE: To systematically search for, appraise, and synthesize peer-reviewed literature on interpersonal coping (IC) in sport. DESIGN: A systematic review adhering to PRISMA-P guidelines. METHOD: Systematic searches of CINAHL, PsycArticles, APA PsycInfo, and SPORTDiscus were conducted. To be eligible for inclusion, papers had to be published in full in the English language in a peer-reviewed journal and had to contain empirical data that focused on IC among individuals in sport (i...