Leitlinien-Chatbot in der gynäkologischen Onkologie – Revolution oder Risiko? Künstliche Intelligenz ermöglicht den Dialog mit der Brustkrebs-Leitlinie – über Potenziale und Herausforderungen von KI-basierten Chatbots für die Leitliniennavigation und Entscheidungsunterstützung in der gynäkologischen Onkologie
Sebastian GriewingFranz LechnerNiklas GremkeStefan LukacWolfgang JanniU. WagnerM. WallwienerSebastian Kühn
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Auf Künstlicher Intelligenz basierten großen Sprachmodellen (Large Language Models, LLMs) wird immenses Potenzial zur Entscheidungsunterstützung in der Brustkrebsbehandlung zugeschrieben. Ihr Einsatz in der klinischen Versorgung ist zurzeit aufgrund fehlender Kontrolle über die für die Entscheidungsfindung verwendeten Quellen und Bedenken zur Datensicherheit, bei Verarbeitung von Gesundheitsdaten über internationale Server, nicht möglich. Die jüngste Entwicklung von Kleinen Sprachmodellen (Small Language Models, SLMs) wird als Möglichkeit zur Lösung dieser Anwendungshürden diskutiert. Diese Proof-of-Concept-Studie zielt darauf ab, ein SLM an die deutsche Brustkrebs-Richtlinie anzupassen und die frühe Machbarkeit hinsichtlich der initialen klinischen Sicherheit und der Funktionsfähigkeit zu bewerten.Keywords:
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Seperti pada dewasa, teknik regional anestesi pada pediatrik kini makin popular digunakan oleh ahli anestesikarena keuntungannya. Namun demikian selalu ada risiko dan kemungkinan timbulnya komplikasi dari setiap tindakan yang dilakukan, termasuk tindakan anestesi regional pada pediatrik. Insidensi komplikasi anestesi regional pada pediatrik tidak banyak, dan kalaupun terjadi komplikasi adalah minor. Komplikasi bisa diakibatkan dari identifikasi ruang saraf, alat, obat, teknis tindakan anestesi regionalnya dan komplikasi lainnya.Walaupun tidak banyak kejadian komplikasi regional anestesi yang dilaporkan pada pediatrik, dan bukanlah komplikasi yang fatal, teknik regional anestesi pada pediatrik harus dilakukan dengan lebih hatihati, pertimbangan risiko dan keuntungannya untuk menghindari terjadinya komplikasi, terlebih karena kebanyakan komplikasi dapat dihindari dengan mempelajari teknik yang benar, menggunakan peralatan yang sesuai, dan sangat menerapkan prinsip keamanan pada pasien dengan baik.
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Genentech is partnering with the German cancer company Affimed to develop immunotherapies for multiple kinds of solid and blood cancers. Affimed is developing therapies that engage natural killer cells of the innate immune system to help direct them to attack cancer cells. Genentech will pay Affimed $96 million up front and up to $5 billion more in potential payments.
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A chatbot is a computer program that can understand the human language and respond like humans. The more it acts like a human, the more helpful the chatbot is. There are several attempts to make the chatbot intelligent or human-like. In college, the routine task is to answer the questions that have been asked repeatedly or found on the official website. This task is time-consuming and a wastes task. The chatbot is one of the solutions to this problem. A good chatbot can naturally answer such questions quickly and tirelessly. However, producing an intelligent or human-like chatbot is a challenge. The chatbot should be able to answer the fundamental questions in the domain and the advanced opinion questions. In this research, we proposed the chatbot system using the machine learning technique. Therefore, the chatbot can learn from the user to improve its performance. We evaluate our chatbot by testing with real-world conversation. The result shows that our chatbot can respond to the fundamental questions with a higher accuracy rate than the advanced questions.
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The Artificial Intelligence (AI) chatbot is becoming more popular and has turned out to be one of the most prominent technologies for user assistance. AI chatbots are used to improve the customer experience by providing automated conversations, minimizing cost, and being capable of providing support in multiple languages. This research study has proposed a multi-linguistic health awareness chatbot for providing assistance to people. This AI chatbot will help people to get their queries answered related to diseases, treatment, and precautions. The advantage of this chatbot is that it is capable of providing information to users in their native language. This multi-linguistic chatbot is based on Natural Language Processing (NLP) model and built using the RASA SDK. To evaluate the proposed chatbot's performance, the chatbot's deployment is done using the RASA-X, which is the Conversation-Driven Development environment.
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Білім берy қоғaмның экономикaлық дaмyының негізі, әлеyметтік тұрaқтылықтың фaкторлaрының бірі, хaлықтың рyхaни-aдaмгершілік әлеyетінің және интеллектyaлдық өсyінің қaйнaр көзі ретінде бaрлық yaқыттaрдa тaптырмaс құндылық болып есептеліп келеді. Aл қaзіргідей aдaм кaпитaлын қaлыптaстырy мен дaмытy мәселесін шешy негізгі міндет ретінде қaрaстырылaтын зaмaндa хaлықтың білімдік қaжеттіліктері өсіп, жоғaры, ортa aрнayлы, кәсіби қосымшa білім aлyғa үміткерлер сaны aртa түсyде. Бұғaн жayaп ретінде білім берy ұйымдaрының сaлaлaнyы aртып, әртүрлі типтегі оқy орындaрының сaны aртyдa, білім берyдің инфрaқұрылымы, бaсқaрy формaлaры, әдістемелік, ғылыми қызмет түрлері дaмyдa. Олaрды білім aлyшылaрдың жеке сұрaныстaры мен мүмкіндіктеріне бaғыттay күшейтілyде. Осығaн орaй білімнің сaпaсынa қойылaтын тaлaптaр aртып, бұл сaлaның әлеyметпен өзaрa әрекеттестігіне негізделген құрылымдық – қызметтік дaмyының көкейтестілігі aртyдa. Мaқaлaдa «серіктестік», «әлеyметтік серіктестік», «білімдегі әлеyметтік серіктестік» ұғым- дaрының мәні aшылып, олaрдың қaлыптaсy және дaмy үрдісіне шолy жaсaлaды, жоғaры оқy орындaрындa педaгогтaрды дaярлayдa әлеyметтік серіктестердің әлеyетін пaйдaлaнyдa бaсшылыққa aлынaтын ұстaнымдaр мен тиімді жолдaры сипaттaлaды. Түйін сөздер: серіктестік, әлеyметтік серіктестік, білімдегі әлеyметтік серіктестік, бірлескен әрекет ұстaнымдaры, әлеуметтік серіктестік әлеуеті. Обрaзовaние является основой экономического рaзвития обществa, одним из фaкторов социaль- ной стaбильности, источником дyховно-нрaвственного потенциaлa и интеллектyaльного ростa людей и во все временa считaлось незaменимой ценностью. И в нaстоящее время, когдa решение проблемы формировaния и рaзвития человеческого кaпитaлa рaссмaтривaется кaк основнaя зaдaчa, рaстyт обрaзовaтельные потребности людей, yвеличивaется количество желaющих полyчить высшее, среднее, специaльное, профессионaльное дополнительное обрaзовaние. В ответ нa это yсиливaется рaзветвленность обрaзовaтельных оргaнизaций, yвеличивaется количество обрaзовaтельных оргaни- зaций рaзличного типa, рaзвивaются инфрaстрyктyрa обрaзовaния, формы yпрaвления, методическaя и нayчнaя деятельность. Yсиливaется их ориентaция нa индивидyaльные потребности и возможности обyчaющихся. В связи с этим повышaются требовaния к кaчествy обрaзовaния, возрaстaет знaчение стрyктyрно-фyнкционaльного рaзвития этой сферы нa основе взaимодействия с обществом. В стaтье рaскрывaется знaчение понятий «пaртнерство», «социaльное пaртнерство», «социaльное пaртнерство в обрaзовaнии», рaссмaтривaется процесс их стaновления и рaзвития, описывaются рyко- водящие принципы и эффективные способы использовaния потенциaлa социaльных пaртнеров в подготовке педaгогических кaдров в высших yчебных зaведениях. Ключевые словa: партнерство, социaльное пaртнерство, социaльное пaртнерство в обрaзовaнии, принципы совместного действия, поненциал социального партнерство. Education is the basis of the economic development of society, one of the factors of social stability, a source of spiritual and moral potential and intellectual growth of people and has always been considered an irreplaceable value. And at the present time, when the solution of the problem of the formation and development of human capital is considered as the main task, the educational needs of people are growing, the number of people wishing to receive higher, secondary, special, professional additional education is increasing. In response to this, the branching of educational organizations is increasing, the number of educational organizations of various types is increasing, the infrastructure of education, forms of management, methodological and scientific activities are developing. Their focus on the individual needs and capabilities of students is increasing. In this regard, the requirements for the quality of education are increasing, the importance of the structural and functional development of this sphere on the basis of interaction with society is increasing. The article reveals the meaning of the concepts of "partnership", "social partnership", "social partnership in education", examines the process of their formation and development, describes the guidelines and effective ways to use the potential of social partners in the training of teachers in higher educational institutions. Keywords: partnership, social partnership, social partnership in education, principles of joint action, the potential of social partnership.
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Conversational interfaces allow users to experience artificial intelligence (AI) services through text or voice conversations. One common form of a conversational interface is a chatbot, which can be scenario-based or large language model (LLM)-based. A scenario-based chatbot generates a response within a predefined scenario for a user query on a specific domain or topic. The chatbot's response for recommendation is processed in conjunction with a separate algorithm. A LLM-based chatbot generates a response through a pretrained model to a user query on a wide range of topics. In this process, the LLM-based chatbot's response takes the form of a kind of recommendation, which is different from the existing recommendation services. To look at the issue more comprehensively, this paper examines recommendation-style system responses of a LLM-based chatbot with the principles of AI ethics. Several examples are shown where the chatbot's responses are modified according to principles of AI ethics.
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This study aimed to create a chatbot for Korean language education using a chatbot builder and to suggest a chatbot utilization method for teaching and learning Korean. To this end, we developed a conversational artificial intelligence chatbot using Dialogflow—a chatbot builder provided by Google—and demonstrated how teachers can use the builders to create chatbots for Korean language education. The chatbots were developed by dividing them into for pattern practice, textbook dialogue practice, speech practice, and game activities, according to the purpose of use; furthermore, the utilization method of each chatbot was summarized. These discussions will contribute to establishing chatbots as useful educational aids in the current situation, with the increased development of artificial intelligence technology and the need for a distance education environment. Additionally, chatbot production and utilization through chatbot builders are expected to enable instructors to easily construct chatbots that account for the classroom environment and learners' characteristics. This in turn enables customized learning for individual learners; further, this is expected to play a positive role in learners' motivation and attitudes.
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The nationally-recognized Susquehanna
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