ChatGPT: The End of Online Exam Integrity?

Education Sciences, Journal Year: 2024, Volume and Issue: 14(6), P. 656 - 656

Published: June 17, 2024

This study addresses the significant challenge posed by use of Large Language Models (LLMs) such as ChatGPT on integrity online examinations, focusing how these models can undermine academic honesty demonstrating their latent and advanced reasoning capabilities. An iterative self-reflective strategy was developed for invoking critical thinking higher-order in LLMs when responding to complex multimodal exam questions involving both visual textual data. The proposed demonstrated evaluated real subject experts performance (GPT-4) with vision estimated an additional dataset 600 text descriptions questions. results indicate that invoke multi-hop capabilities within LLMs, effectively steering them towards correct answers integrating from each modality into final response. Meanwhile, considerable proficiency being able answer across 12 subjects. These findings prior assertions about limitations emphasise need robust security measures proctoring systems more sophisticated mitigate potential misconduct enabled AI technologies.

Language: Английский

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Current and future applications of artificial intelligence in surgery: implications for clinical practice and research

Frontiers in Surgery, Journal Year: 2024, Volume and Issue: 11

Published: May 9, 2024

Surgeons are skilled at making complex decisions over invasive procedures that can save lives and alleviate pain avoid complications in patients. The knowledge to make these is accumulated years of schooling practice. Their experience turn shared with others, also via peer-reviewed articles, which get published larger amounts every year. In this work, we review the literature related use Artificial Intelligence (AI) surgery. We focus on what currently available likely come near future both clinical care research. show AI has potential be a key tool elevate effectiveness training decision-making surgery discovery relevant valid scientific surgical domain. address concerns about technology, including inability for users interpret algorithms as well incorrect predictions. A better understanding will allow surgeons new tools wisely benefit their

Language: Английский

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The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 12, 2024

Abstract Science frequently benefits from teams of interdisciplinary researchers. However, most scientists don’t have access to experts multiple fields. Fortunately, large language models (LLMs) recently shown an impressive ability aid researchers across diverse domains by answering scientific questions. Here, we expand the capabilities LLMs for science introducing Virtual Lab, AI-human research collaboration perform sophisticated, research. The Lab consists LLM principal investigator agent guiding a team agents with different backgrounds (e.g., chemist agent, computer scientist critic agent), human researcher providing high-level feedback. We design conduct through series meetings, where all discuss agenda, and individual accomplishes specific task. demonstrate power applying it nanobody binders recent variants SARS-CoV-2, which is challenging, open-ended problem that requires reasoning fields biology science. creates novel computational pipeline incorporates ESM, AlphaFold-Multimer, Rosetta designs 92 new nanobodies. Experimental validation those reveals range functional nanobodies promising binding profiles SARS-CoV-2 variants. In particular, two exhibit improved JN.1 or KP.3 while maintaining strong ancestral viral spike protein, suggesting exciting candidates further investigation. This demonstrates rapidly make impactful, real-world discovery.

Language: Английский

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The present and future of seizure detection, prediction, and forecasting with machine learning, including the future impact on clinical trials

Frontiers in Neurology, Journal Year: 2024, Volume and Issue: 15

Published: July 11, 2024

Seizures have a profound impact on quality of life and mortality, in part because they can be challenging both to detect forecast. Seizure detection relies upon accurately differentiating transient neurological symptoms caused by abnormal epileptiform activity from similar with different causes. forecasting aims identify when person has high or low likelihood seizure, which is related seizure prediction. Machine learning artificial intelligence are data-driven techniques integrated neurodiagnostic monitoring technologies that attempt accomplish those tasks. In this narrative review, we describe the existing software hardware approaches for forecasting, as well concepts how evaluate performance new future application clinical practice. These include long-term without electroencephalography (EEG) report very sensitivity reduced false positive detections. addition, implications evaluation novel treatments seizures within trials. Based these data, machine could fundamentally change care people seizures, but there multiple validation steps necessary rigorously demonstrate their benefits costs, relative current standard.

Language: Английский

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From GPT-3.5 to GPT-4.o: A Leap in AI’s Medical Exam Performance

Information, Journal Year: 2024, Volume and Issue: 15(9), P. 543 - 543

Published: Sept. 5, 2024

ChatGPT is a large language model trained on increasingly datasets to perform diverse language-based tasks. It capable of answering multiple-choice questions, such as those posed by medical examinations. has been generating considerable attention in both academic and non-academic domains recent months. In this study, we aimed assess GPT’s performance anatomical questions retrieved from licensing examinations Germany. Two different versions were compared. GPT-3.5 demonstrated moderate accuracy, correctly 60–64% the autumn 2022 spring 2021 exams. contrast, GPT-4.o showed significant improvement, achieving 93% accuracy exam 100% exam. When tested 30 unique not available online, maintained 96% rate. Furthermore, consistently outperformed students across six state exams, with statistically mean score 95.54% compared students’ 72.15%. The study demonstrates that outperforms its predecessor, GPT-3.5, cohort students, indicating potential powerful tool education assessment. This improvement highlights rapid evolution LLMs suggests AI could play an important role supporting enhancing training, potentially offering supplementary resources for professionals. However, further research needed limitations practical applications systems real-world practice.

Language: Английский

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Education and Training Assessment and Artificial Intelligence. A Pragmatic Guide for Educators

British Journal of Biomedical Science, Journal Year: 2025, Volume and Issue: 81

Published: Feb. 5, 2025

The emergence of ChatGPT and similar new Generative AI tools has created concern about the validity many current assessment methods in higher education, since learners might use these to complete those assessments. Here we review evidence on this issue show that for assessments like essays multiple-choice exams, concerns are legitimate: can them a very high standard, quickly cheaply. We consider how assess learning alternative ways, importance retaining foundational core knowledge. This is considered from perspective professional regulations covering registration Biomedical Scientists their Health Care Professions Council (HCPC) approved education providers, although it should be broadly relevant across education.

Language: Английский

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Towards a World Wide Web powered by generative AI

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 28, 2025

Abstract Generative Artificial Intelligence (AI) is a cutting-edge technology capable of producing text, images, and various media content leveraging generative models user prompts. Between 2022 2023, AI surged in popularity with plethora applications spanning from AI-powered movies to chatbots. This paper investigates the potential within realm World Wide Web, specifically focusing on image generation. Web developers already harness help craft text while browsers might use it future locally generate images for tasks such as repairing broken webpages, conserving bandwidth, enhancing privacy. To explore this research area, developed WebDiffusion , tool that allows simulate powered by stable diffusion, popular text-to-image model, both client server perspective. Such first its kind, paving way towards futuristic world wide web where can be created using AI. further supports crowdsourcing opinions, which used evaluate quality accuracy 409 AI-generated sourced 60 webpages. Our findings suggest pertinent high-quality even without requiring designers manually input prompts, just contextual information available However, direct in-browser generation remains challenge, only highly powerful GPUs, A40 A100, (partially) compete classic downloads. Nevertheless, approach could valuable subset example, when fixing webpages or handling private content.

Language: Английский

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Is your curriculum GenAI-proof? A method for GenAI impact assessment and a case study

MedEdPublish, Journal Year: 2025, Volume and Issue: 15, P. 11 - 11

Published: March 26, 2025

Background Generative AI (GenAI) such as ChatGPT can take over tasks that previously could only be done by humans. Although GenAI provides many educational opportunities, it also poses risks invalid assessments and irrelevant learning outcomes. This article presents a broadly applicable method to (1) determine current assessment validity, (2) assess which outcomes are impacted student use (3) decide whether alter formats and/or is exemplified the case-study on our medical informatics curriculum. We developed five-step evaluate address impact of GenAI. In collaborative manner, courses in curriculum analysed their plans together with teachers, adapted usage. Results 57% assessments, especially writing programming, were at risk reduced validity relevance. was closer related content structure than complexity according Bloom’s taxonomy. During retreats, lecturers discussed relevance students should able achieve them or without Furthermore, results led plan increase literacy years study. Subsequently coordinators asked either adjust preclude use, include literacy. For 64% format for 36% adapted. Conclusion The majority outcomes, leading us adapt offer potential blueprint institutions facing similar challenges.

Language: Английский

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AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking

Published: April 24, 2025

Language: Английский

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Exploring the use of ChatGPT/GPT-4 for patient follow-up after oral surgeries

International Journal of Oral and Maxillofacial Surgery, Journal Year: 2024, Volume and Issue: 53(10), P. 867 - 872

Published: April 24, 2024

Language: Английский

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