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Related Concept Videos

Language01:16

Language

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Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
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Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

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Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
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Components of Language01:24

Components of Language

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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Language Development01:22

Language Development

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

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In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
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Large Language Models Solving the European Diploma in Radiology: A Comparative Evaluation.

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Two advanced AI models, GPT-5 and Gemini 2.5 Pro, passed the European Diploma in Radiology (EDiR) exam, showing potential for radiology education. However, challenges remain in visual and temporal understanding for full clinical deployment.

Keywords:
Artificial IntelligenceEuropean Diploma in RadiologyLarge Language ModelsMedical EducationPerformance Evaluation

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Area of Science:

  • Artificial Intelligence in Medical Imaging
  • Radiology Education Technology
  • Large Language Models (LLMs)

Background:

  • Multimodal large language models (LLMs) are rapidly advancing, showing significant potential in radiology education and assessment.
  • Evaluating the performance of these LLMs in standardized medical examinations is crucial for understanding their capabilities and limitations.

Purpose of the Study:

  • To compare the performance of three state-of-the-art LLMs: GPT-5, Gemini 2.5 Pro, and Claude 4.5 Sonnet.
  • To assess their capabilities using a retired European Diploma in Radiology (EDiR) examination.

Main Methods:

  • The EDiR examination, including Multiple Response Questions, Short Cases, and CORE cases, was administered to LLMs under zero-shot conditions.
  • Inputs comprised text, static images, and videos; responses were scored against official European Board of Radiology criteria.
  • Passing thresholds were based on historical human performance data.

Main Results:

  • Gemini 2.5 Pro (72.6%) and GPT-5 (67.3%) surpassed the written component pass mark (50.9%), while Claude 4.5 Sonnet scored 47.5%.
  • GPT-5 (62.5%) and Gemini 2.5 Pro (56.3%) passed the CORE component (pass mark 55%), unlike Claude 4.5 Sonnet (50.7%).
  • Models excelled in text and static image tasks but struggled with specific coordinate localization and dynamic video interpretation.

Conclusions:

  • GPT-5 and Gemini 2.5 Pro met EDiR passing criteria, indicating suitability for augmenting radiology education.
  • Despite advancements in semantic processing, limitations in spatial localization and temporal reasoning persist, hindering autonomous clinical deployment.
  • Clinical visual grounding remains a key challenge for current LLMs in radiology.