Types Of Questions Research Articles

Evaluating ChatGPT's effectiveness and tendencies in Japanese internal medicine.

ChatGPT, a large-scale language model, is a notable example of AI's potential in health care. However, its effectiveness in clinical settings, especially when compared to human physicians, is not fully understood. This study evaluates ChatGPT's capabilities and limitations in answering questions for Japanese internal medicine specialists, aiming to clarify its accuracy and tendencies in both correct and incorrect responses. We utilized ChatGPT's answers on four sets of self-training questions for internal medicine specialists in Japan from 2020 to 2023. We ran three trials for each set to evaluate its overall accuracy and performance on nonimage questions. Subsequently, we categorized the questions into two groups: those ChatGPT consistently answered correctly (Confirmed Correct Answer, CCA) and those it consistently answered incorrectly (Confirmed Incorrect Answer, CIA). For these groups, we calculated the average accuracy rates and 95% confidence intervals based on the actual performance of internal medicine physicians on each question and analyzed the statistical significance between the two groups. This process was then similarly applied to the subset of nonimage CCA and CIA questions. ChatGPT's overall accuracy rate was 59.05%, increasing to 65.76% for nonimage questions. 24.87% of the questions had answers that varied between correct and incorrect in the three trials. Despite surpassing the passing threshold for nonimage questions, ChatGPT's accuracy was lower than that of human specialists. There was a significant variance in accuracy between CCA and CIA groups, with ChatGPT mirroring human physician patterns in responding to different question types. This study underscores ChatGPT's potential utility and limitations in internal medicine. While effective in some aspects, its dependence on question type and context suggests that it should supplement, not replace, professional medical judgment. Further research is needed to integrate Artificial Intelligence tools like ChatGPT more effectively into specialized medical practices.

An Overview On: Exam Ease with Online Exam Portal

Our online Examination System is a special kind of program where examination of the coed are often taken during a correct and efficient manner. Online Examination System consists of some Question(MCQ) types & and also the student are to give the right answers of these question by selecting the suitable choice. Once a solution is submitted (it won't possible to return back to it question). An internet examination system could be a web-based examination system where examinations are given online either through the net or intranet employing a automatic data processing system. The principle objective of this online examination system is to effectively evaluate the scholar thoroughly through a completely automated system that not only reduces the specified time but also obtains fast and accurate results

Wh-Words: Existential or Universal Quantifiers in Child Mandarin?

Wh-words have been analysed as existential quantifiers (Chierchia in Logic in grammar: polarity, free choice, and intervention. Oxford University Press, Oxford, 2013; Fox, in Sauerland U, Stateva P (eds) Presupposition and implicature in compositional semantics (Palgrave studies in pragmatics, language and cognition). Palgrave MacMillan, Houndmills, pp 71-120, 2007; Liao in Alternative and exhaustification: non-interrogative uses of Chinese wh-words. Harvard University, 2010) or universal quantifiers (Nishigauchi, in: Theoretical and applied linguistics at Kobe Shoin 2, Kobe Shoin Institute for Linguistic Sciences, 1999). These two accounts have distinct predictions on how children initially interpret wh-words. The universal account predicts that children should initially interpret wh-words as universal quantifiers, whereas the existential account anticipates that children should start out with the existential interpretation. To adjudicate between the two accounts, the present study was designed to explore pre-schoolers' semantic knowledge of wh-quantification. Specifically, it investigated the interpretation of the wh-word shenme 'what' with 4-and 5-year-old Mandarin-speaking children and a control group of adults. Using a Truth Value Judgment Task (Crain and Thornton in Investigations in universal grammar: a guide to experiments on the acquisition of syntax and semantics. MIT Press, Cambridge, 1998), Experiment 1 evaluated whether children interpret the wh-word shenme 'what' as closer in meaning to the polarity sensitive item renhe 'any' or the universal quantifier suoyou 'all' in the antecedent of ruguo 'if' conditionals. Using a Question-Answer Task, Experiments 2 & 3 respectively investigated whether children interpret shenme 'what' as closer in meaning to renhe 'any' or suoyou 'all' in two types of questions: yes-no questions with the particle ma and A-not-A questions. It was found that both children and adults interpret shenme 'what' as closer in meaning to renhe 'any' than suoyou 'all'. The findings suggest that Mandarin-speaking pre-schoolers already have adult-like semantic knowledge of wh-quantification: wh-words are existential quantifiers rather than universal quantifiers. Due to the paucity of primary linguistic input, children's early mastery of the non-interrogative wh-words appear to support the biolinguistic approach to language acquisition (Chomsky in Aspects of the theory of syntax. MIT Press, Cambridge, 1965; Pinker in Language learnability and language development. Harvard University Press, Cambridge, 1984; Crain et al. in Language acquisition from a biolinguistic perspective. Neurosci Biobehav Rev, 2016. https://doi.org/10.1016/j.neubiorev.2016.09.004 ).

Comparing generative and retrieval-based chatbots in answering patient questions regarding age-related macular degeneration and diabetic retinopathy

Background/aimsTo compare the performance of generative versus retrieval-based chatbots in answering patient inquiries regarding age-related macular degeneration (AMD) and diabetic retinopathy (DR).MethodsWe evaluated four chatbots: generative models (ChatGPT-4, ChatGPT-3.5 and...

A cross-cultural analysis of the gestural pattern of surprise and surprise-disapproval questions

Abstract In this article, we address the issue concerning the gestural patterns in expressing surprise and disapproval across various languages and cultures. The results obtained so far point to an interesting, and in a sense rather surprising, uniformity. We consider two types of special questions: counter-expectational questions expressing surprise and surprise-disapproval questions, i.e., sentences expressing surprise with a negative orientation, and adopt an experimental design involving sentence repetition and spontaneous production. We focus on the realization of these sentences in Vietnamese, Korean and Japanese, which we compare with the results previously obtained for Italian and replicated for Neapolitan, Spanish and German. Our research is based on the Minimalist theoretical framework developed by Chomsky and scholars in the tradition of generative grammar.

Derive the biased reading of <i>A-not-A</i> questions in Mandarin

Among many forms of A-not-A questions in Mandarin Chinese, the shi-not-shi question is found to be unique in that it obligatorily gives rise to a biased reading toward its prejacent, so-called positive bias. The previous pragmatic approach by Ye (2020) establishes a link between focus in polar questions and question bias to explain this biased reading. However, the current study finds that two other A-not-A questions formed by epistemic modals, hui-not-hui and keneng-not-keneng which are not focus markers, obligatorily produce positively biased readings as well. I propose that biased A-not-A questions are a type of high-negation questions with A-not-A residing outside of TP. shi, hui and keneng should all be analyzed as epistemic modals which are the overt realization of Goodhue’s (2019) epistemic operator scoped by the negator. The positively biased reading is derived from the resulting unbalanced partition based on general pragmatic principles. This analysis from the semantic aspect provides new evidence for the argument that the first A has reality only in PF. Furthermore, the Mandarin Chinese data lends evidence to Goodhue’s (2019) argument that there exists a doxastic speech operator between NegP and TP in high negation questions. The paper also provides explanations for previously remaining questions on bias cancelation by the stress marker daodi and factive predicates like zhidao (“know”).

The role of language on assessment outcomes: an analysis of calculation and explanation questions in science classrooms

This study investigates the impact of the language of instruction on assessment outcomes by comparing students’ test performance in English (EMI) and Japanese Medium Instruction (JMI) courses. Data were collected from a university in Japan offering parallel Chemistry courses in Japanese and English as part of the same undergraduate curriculum. A mixed-methods approach was employed, with the quantitative analysis of pre-test and post-test scores of 28 EMI and 29 JMI students and the qualitative analysis of interviews conducted with eight EMI and six JMI students. The results revealed that EMI students underperformed significantly on explanation-oriented questions compared to JMI students, while there was no difference between the groups for calculation-oriented questions. When controlling for students’ pre-test scores, the group differences remained significant for explanation-oriented questions but not for calculation-oriented questions. Findings also demonstrated a significant interaction between question type and group, indicating a substantial impact of the language of instruction on the test performance of EMI students compared to JMI students. The qualitative data highlighted the unique language-related challenges EMI students encountered when learning Chemistry. These findings highlight the need for diverse and fair assessment methods in EMI programs to ensure language proficiency does not disproportionately influence students’ test performance.

Scythian Jewelry Meshes and the Problem of Their Interpretation

This article explores the phenomenon of a specific type of personal adornment worn by members of the Scythian elite in the North Black Sea region in the second half of the 5th century and throughout the 4th century BCE. The discussion juxtaposes the records from 19th-century and early 20th-century excavations with contextual analyses of very recent discoveries from Ukraine, which shed significant new light on the appearance, production, and meaning of Scythian jewelry. The reconstruction of the shape of the jewelry type in question is greatly complicated by two factors: the lack of relevant depictions in the contemporary corpus of Scythian and Greco-Scythian figure scenes and misleading scholarly references to supposed analogies in a Roman-era mosaic, which became the chief reason for the misinterpretations of the ornament’s appearance. Composed of numerous gold or gilded silver tubes; beads; pendants; and, sometimes, “buttons,” this jewelry type is reconstructed in two gender-specific variants in this article: one mesh-like and the other with a cross-chest form. For over a hundred years, scholars have considered only the mesh variant to be the correct reconstruction. As a result, many costume reconstructions of this jewelry form in specialist research and museum displays alike are still proposed without a sufficient evidentiary base.

An artificial intelligence-based dental semantic search engine as a reliable tool for dental students and educators.

This study proposes the utilization of a Natural Language Processing tool to create a semantic search engine for dental education while addressing the increasing concerns of accuracy, bias, and hallucination in outputs generated by AI tools. The paper focuses on developing and evaluating DentQA, a specialized question-answering tool that makes it easy for students to seek information to access information located in handouts or study material distributed by an institution. DentQA is structured upon the GPT3.5 language model, utilizing prompt engineering to extract information from external dental documents that experts have verified. Evaluation involves non-human metrics (BLEU scores) and human metrics for the tool's performance, relevance, accuracy, and functionality. Non-human metrics confirm DentQA's linguistic proficiency, achieving a Unigram BLEU score of 0.85. Human metrics reveal DentQA's superiority over GPT3.5 in terms of accuracy (p=0.00004) and absence of hallucination (p=0.026). Additional metrics confirmed consistent performance across different question types (X2(4,N=200)=13.0378,p=0.012). User satisfaction and performance metrics support DentQA's usability and effectiveness, with a response time of 3.5 s and over 70% satisfaction across all evaluated parameters. The study advocates using a semantic search engine in dental education, mitigating concerns of misinformation and hallucination. By outlining the workflow and the utilization of open-source tools and methods, the study encourages the utilization of similar tools for dental education while underscoring the importance of customizing AI models for dentistry. Further optimizations, testing, and utilization of recent advances can contribute to dental education significantly.

The transformative potential of Artificial Intelligence for Education

Education today faces a range of challenges, but also unique opportunities, vis-à-vis the evolution of digital technologies. Traditional teaching methods struggle to meet the diverse needs of students, as classrooms comprise learners at different levels. The Education AI project represents an initiative aimed at integrating Artificial Intelligence (AI) into the classroom to address the diversity of students and the challenges faced by traditional teaching methods. The project's core objective is to enhance student learning outcomes by providing an adaptive and personalised learning experience, thereby making education more equitable and effective. This paper evaluates the project's impact on student learning, teacher workload, and its broader applicability in education. The study's methodology combines quantitative and qualitative data, employing a mixed-methods approach to provide a comprehensive analysis of the Education AI system's effectiveness. Preliminary findings indicate a notable improvement in student performance, particularly among low and medium-performing students, with quantitative data revealing an average improvement of 23% in assessments for low-performing students. The system's user-friendly interface, gamified elements, and immediate feedback mechanisms have been well-received, with a majority of students reporting enhanced engagement and understanding of mathematical concepts. Teachers have also reported positive experiences, highlighting the system's role in reducing their workload and facilitating personalised and adaptive teaching and learning. Qualitative feedback from interviews with teachers and students provides further insights into the system's impact, emphasising its varied and engaging question types, adaptivity, and the shift from paper-based to digital learning. The feedback also reveals a desire for expansion to other subjects and enhancements in the system's analytics for more targeted support.The Education AI project demonstrates the transformative potential of AI in the classroom, with significant improvements in student performance and positive reception from both students and teachers. The study highlights the importance of addressing technical challenges and expanding the system's capabilities for broader application. The project offers valuable insights into the future of education, where technology and human expertise converge to create a more personalised, adaptive engaging, and effective learning experience for all students. This initiative, underpinned by the transformative potential of AI for education, aims and informing and guiding future innovations in educational technology.

A New Approach for Organizing Online Examination

The “Examination Form” research paper explores the transformative potential of digital technology in reshaping the landscape of educational assessments. This paper delves into the development and implementation of an online examination system that aims to streamline the process of conducting exams, thereby enhancing efficiency and integrity in educational institutions. The online examination system provides a platform for educators to create, manage, and grade exams with ease, accommodating various question types such as multiple-choice, short-answer, and essay questions. It offers students the flexibility to take exams from any location, ensuring a user-friendly and secure examination experience. The system incorporates robust security measures to maintain the integrity of the examination process and prevent unauthorized access. The paper further discusses how real-time analytics provided by the system can aid administrators in tracking performance trends and identifying areas for improvement. These insights can contribute to refining teaching methodologies in education. The “Examination Form” research paper underscores the pivotal role of digital innovation in bridging the gap between traditional examination methods and the evolving needs of the modern educational ecosystem. It highlights how such a system can alleviate administrative burdens, promote academic integrity, and provide valuable pedagogical insights. This research contributes to the ongoing discourse on digital transformation in education, particularly in the realm of assessment systems.

92 Factors influencing bull selection in Illinois beef producers: Analysis of retained and non-retained ownership producers

Abstract The objective was to understand decision-making factors for bull selection of producers participating in the Illinois Performance Tested (IPT) bull sale. The IPT bull sale has served Illinois beef producers for the last 54 yr offering around 50 bulls annually. A comprehensive survey targeted a diverse group of beef producers that had previously attended the IPT bull sale. The survey was developed through Qualtrics and provided to producers via email. The survey consisted of 40 questions based on four categories: farm location, herd demographics, bull selection criteria, and feedback from previous experiences at the IPT bull sale. There were a variety of question types including multiple choice, select all that apply, open-ended, ranking of importance, and select on a scale from one to ten. Specific responses on bull selection criteria focused on expected progeny differences and functional traits. Survey results were grouped based on whether producers retained ownership of feedlot cattle; regularly retained ownership (RET; n = 12) and never retained ownership (NRET; n = 15). Data were analyzed with the MIXED and GLIMMIX procedures of SAS 9.4. For RET and NRET producers, there were no observed differences in mature cow body weight and herd size (P ≥ 0.42). Most producers responded that they calved in March and April. Producer groups did not differ (P = 0.99) in the percentage of respondents retaining replacement heifers, as 66% of RET and NRET producers retained replacements. However, RET producers tended to be more likely (P = 0.07) to regularly sell freezer beef. Specifically, 75% of RET producers regularly sell freezer beef compared with 13% of NRET producers. Additionally, RET producers tended to prioritize (P = 0.1) carcass trait expected progeny differences in bull selection more than NRET producers (66 vs 33%, respectively). There was no difference (P = 0.2) in the percentage of respondents that selected the weaning weight expected progeny difference in their top three traits. However, NRET producers were much more likely (P < 0.01) to prioritize yearling weight expected progeny difference in their bull selection decisions. Specifically, 66% of RET producers used yearling weight expected progeny difference in their bull selection compared with 0% of NRET producers. Lastly, there was no difference (P = 0.61) in the percentage of respondents who included docility in their top three functional traits. In conclusion, bull buyers at the IPT bull sale that regularly retain ownership of feedlot cattle were more likely to prioritize expected progeny differences for yearling weight and carcass traits while functional traits priorities were similar to producers that did not retain ownership of feedlot cattle.

Taxonomy of theories for blockchain applications in business and management

The rising prominence of blockchain technology has spurred researchers to delve deeper into its applications through the lens of organizational and management theories. Our thematic analysis of blockchain literature reveals examination across five key areas: economic, strategic, operational, behavioral, and implementation considerations, each viewed through various theoretical perspectives. The multifaceted nature of blockchain phenomena necessitates diverse types of theory and research questions. Thus, the unique characteristics within each area stimulate the formulation of inquiries that address a system of research questions about what, how, why, when, where, what will be, and how to do. Existing literature predominantly emphasizes explanatory and predictive type of theories, notably expanding research topics such as blockchain adoption behavior. However, this singular focus limits the exploration of diverse reasoning approaches suited to blockchain's complexity. Our study illustrates how different types of theory contribute to understanding each of the identified blockchain application areas. Based on our findings, we propose pertinent questions that highlight the need for varied theoretical frameworks and address specific issues within each application area. Furthermore, we recommend appropriate type of theories to address these questions, fostering a more multi-perspective investigation across the breadth of blockchain-related research topics and areas. By embracing diverse theoretical perspectives, we aim to create a more balanced research landscape, facilitating deeper insights into blockchain phenomena.

Struktur Frasa Adverbial Bahasa Batak Toba Analisis Teori X-Bar

This study aims to describe the structures forming an adverbial phrase in the Batak Toba language. This research is a qualitative research. The data in this study is in the form of Batak Toba text. Data sources are obtained through observation, interviews, as well as using researchers' intuitive data as active speakers of Batak Toba language. At the observation stage, researchers were directly involved in the conversations of several Toba Batak speakers in a coffee shop. Then an unstructured interview was conducted using provoking questions to the informant. The type of question given is related to the grammatical acceptability of phrase structure in the Batak Toba language. While in the process of data analysis is carried out by grouping data based on the similarity of elements, then determining the right elements is carried out. The results of research and discussion show that in the Toba Batak language there are 4 rules of adverbial phrase structure in the Toba Batak language, yaitu: (1) Adv + A = Adv’, Adv’ + Spes = FAdv, (2). A + Adv = Adv’, Adv’ + Spes = FAdv, (3) Ad + Adv = Adv’, Adv’ + V = Adv’, Adv’ + Spes = FAdv, (4) Adv + Ad = Adv’, Adv’ + Adv = Adv’, Adv’ + Spes = FAdv. Keywords: adverbial pharase, Tobanese, X Bar theory

Analysis of Hip Preservation Questions on the Orthopaedic In-Training Examination Over the Past 20 Years.

The orthopaedic in-training examination (OITE) is a 275-question test for orthopaedic residents administered annually. As the field of orthopaedics changes, the OITE evolves its content. The incidence of hip preservation-related procedures has increased substantially over the past decade; nonetheless, an analysis of the trends of hip preservation questions on the OITE has not yet been performed. The purpose of the study was to evaluate the number and type of questions on the OITE related to hip preservation to determine whether trends over time paralleled the increases in hip-related care in clinical practice. It was hypothesized that the frequency of hip preservation questions on the OITE would increase with time. Cross-sectional study. Each OITE between 2002 and 2021 was reviewed for questions related to hip preservation. The types of questions included under "hip preservation" were those related to femoroacetabular impingement (FAI), athletic soft tissue injuries of the hip, acetabular labral tears, hip arthroscopy, and surgical management of adult hip dysplasia-excluding arthroplasty. Questions were quantified and categorized by topic, taxonomy level, associated imaging, and cited sources. There were 30 hip preservation-related questions between 2002 and 2021. Of these, 77% occurred within the past 10 years. Also, 14 questions (47%) had associated images in the question stem-the most common being radiographs (n = 8 questions). The most commonly tested subcategories were FAI (n = 11 questions [37%]), athletic injuries (n = 7 questions [23%]), and anatomy (n = 7 questions [23%]). Over the last 10 years, 97.9% of citations were from journal articles-the most common being the Journal of the American Academy of Orthopaedic Surgeons, Clinical Orthopedics and Related Research, and the American Journal of Sports Medicine. The frequency of hip preservation-related questions on the OITE has increased with time, reflecting trends in clinical practice.

Construction of Question Paper

Evaluation is one of the most difficult areas of educational pursuits. The most common type of evaluationand assessment is through a written examination. The majority of the time, questions is drafted right beforethe examination without going through a quality control process, which might cause confusion or incorrectinterpretation of the questions by the students. Students’ self-confidence and self-esteem grow as a result of their increased understanding of the question paper’s structure, and they then affirm their ability to complete the task.The design of the question paper is prepared, with consideration given to the objectives, the various forms and types of questions, and the various content areas, a projected time, Level of difficulty anticipated. In order to enhance the standard of student evaluation and assessment, this article focuses on offering instructions and a scientific technique for creating effective question papers.

Behavior and comfort during floor usage in gathering activities on Indonesia apartments

In response to the development in housing needs, human habits and behavior inside the house have a decisive role, and changes in preference from landed houses to vertical houses should be considered. In correlation with body contact, every activity will involve attachment to a horizontal surface (floor surface), and the vertical surface will impact the surrounding area of human thermal comfort. In a tropical climate like Indonesia, climate, internal space, and the human body are essential interrelated things. Associated with the thermal comfort needs of the human body, direct transfer of thermal conditions and direct contact with the surface will also affect the comfort of living every day in the residential area, represented by the behavior of Indonesians in floor usage for daily activities. This part of the research will focus on describing the behavior in horizontal surface usage and comfort, for which data is collected by using multiple types of questions, such as subjective assessment questionnaires and followed by cluster analysis, to comprehend the result.

Development of B1 Level Listening Learning Media Using the Proprofs Platform

This research was carried out in the library of the Faculty of Language and Arts, Medan State University to develop learning media for B1 listening practice using the Proprofs platform. The development model used in this research is the Richey and Klein development model. The stages are: (1) planning stage, (2) manufacturing stage, and (3) evaluation stage. The focus of this research comes from the problems experienced by students majoring in German when listening to B1 level, namely lack of mastery of vocabulary. Vocabulary based on the themes Generationen, Migration and Europe will be developed in this research. The data source for this research is the book Studio Express B1 (Funk, et al, 2018) pages 90 to 114. The research results are in the form of learning media for listening practice in the form of online quizzes accompanied by audio and video. There are 20 questions for each topic that come from audio and video. The types of questions are incomplete sentences, multiple choice and true or false. The media created is validated by media experts, with a score of 95 (very good).

Proses Pengadaan Sumber Daya Manusia Perangkat Desa di Kabupaten Sidoarjo

The implementation of village government cannot be separated from the role of village officials in realizing public services and good governance. Recruitment and selection of village officials need to be carried out strictly to obtain quality human resources. This study aims to describe the recruitment and selection patterns of village officials in Sidoarjo Regency. The research method used is descriptive with a qualitative approach. Data were collected through interviews, observation and documentation. Data analysis used the Miles and Huberman interactive model including data collection, reduction, and presentation, as well as conclusion drawing. The results showed that the pattern of recruitment and selection of village officials included the stages of announcement, administrative selection, examination, announcement of examination results, and inauguration. The online exam was preceded by a server trial before implementation. The exam consisted of three types of questions, namely general knowledge, nationality, and government, including 100 questions. The results of the exam are announced in the form of scores and rankings of participants as well as the position chosen. Participants who pass the exam are then officially inaugurated as village officials.

Does small talk with a medical provider affect ChatGPT's medical counsel? Performance of ChatGPT on USMLE with and without distractions.

Efforts are being made to improve the time effectiveness of healthcare providers. Artificial intelligence tools can help transcript and summarize physician-patient encounters and produce medical notes and medical recommendations. However, in addition to medical information, discussion between healthcare and patients includes small talk and other information irrelevant to medical concerns. As Large Language Models (LLMs) are predictive models building their response based on the words in the prompts, there is a risk that small talk and irrelevant information may alter the response and the suggestion given. Therefore, this study aims to investigate the impact of medical data mixed with small talk on the accuracy of medical advice provided by ChatGPT. USMLE step 3 questions were used as a model for relevant medical data. We use both multiple-choice and open-ended questions. First, we gathered small talk sentences from human participants using the Mechanical Turk platform. Second, both sets of USLME questions were arranged in a pattern where each sentence from the original questions was followed by a small talk sentence. ChatGPT 3.5 and 4 were asked to answer both sets of questions with and without the small talk sentences. Finally, a board-certified physician analyzed the answers by ChatGPT and compared them to the formal correct answer. The analysis results demonstrate that the ability of ChatGPT-3.5 to answer correctly was impaired when small talk was added to medical data (66.8% vs. 56.6%; p = 0.025). Specifically, for multiple-choice questions (72.1% vs. 68.9%; p = 0.67) and for the open questions (61.5% vs. 44.3%; p = 0.01), respectively. In contrast, small talk phrases did not impair ChatGPT-4 ability in both types of questions (83.6% and 66.2%, respectively). According to these results, ChatGPT-4 seems more accurate than the earlier 3.5 version, and it appears that small talk does not impair its capability to provide medical recommendations. Our results are an important first step in understanding the potential and limitations of utilizing ChatGPT and other LLMs for physician-patient interactions, which include casual conversations.