Artificial Intelligence in Medicine: Passing Hype or the Holy Grail of Solutions?

Wilhelm, Dirk; Padoy, Nicolas

doi:10.1159/000511429

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…The answers to these questions are complex and full of ambivalence. AI supporters have high hopes and ambitions when it comes to predicting the possible transformation of all areas of society, including medicine and, more specifically, senology, through AI (10,11).…”

Section: Parallel and Sequential Trainingmentioning

confidence: 99%

Artificial Intelligence in Senology - Where Do We Stand and What Are the Future Horizons?

Mundinger,

Mundinger

2024

EJBH

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Artificial Intelligence (AI) is defined as the simulation of human intelligence by a digital computer or robotic system and has become a hype in current conversations. •A subcategory of AI is deep learning, which is based on complex artificial neural networks that mimic the principles of human synaptic plasticity and layered brain architectures, and uses large-scale data processing.• AI-based image analysis in breast screening programmes has shown non-inferior sensitivity, reduces workload by up to 70% by pre-selecting normal cases, and reduces recall by 25% compared to human double reading.

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Section: Parallel and Sequential Trainingmentioning

confidence: 99%

Artificial Intelligence in Senology - Where Do We Stand and What Are the Future Horizons?

Mundinger,

Mundinger

2024

EJBH

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“…These features are complex and changeable, and it is difficult to model them with traditional mathematical theory. Through the understanding of the basic principle of neural networks, combined with the relevant research on automatic scoring technology of composition, the features extracted from composition are processed by artificial neural networks, and the learning, associative memory and distributed parallel information processing functions of neural networks are used to simulate the thinking mode of the human brain [25,26]. Therefore, the constructed neural network model can acquire, learn and reason the expert-rated experience from a large number of expert-rated articles, determine the relationship between the extracted features and the composition score, which is called learning the expert-rated experience, and then grade the text through the learned experience.…”

Section: Neural Network Applications In Natural Languagementioning

confidence: 99%

Design and Application of an Automatic Scoring System for English Composition Based on Artificial Intelligence Technology

Zhang

2023

IJACSA

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The automatic grading of English compositions involves utilizing natural language processing, statistics, artificial intelligence (AI), and other techniques to evaluate and score compositions. This approach is objective, fair, and resource-efficient. The current widely used evaluation system for English compositions falls short in off-topic assessment, as subjective factors in manual marking lead to inconsistent scoring standards, which affects objectivity and fairness. Hence, researching and implementing an AI-based automatic scoring system for English compositions holds significant importance. This paper examines various composition evaluation factors, such as vocabulary usage, sentence structure, errors, development, word frequency, and examples. These factors are classified, quantified, and analysed using methods such as standardization, cluster analysis, and TF word frequency. Scores are assigned to each feature factor based on fuzzy clustering analysis and the information entropy principle of rough set theory. The system can flexibly identify composition themes in batches and rapidly score English compositions, offering more objective and impartial quality control. The goal of the proposed system is to address existing issues in teacher corrections and evaluations, as well as low self-efficacy in students' writing learning. The test results demonstrate that the system expands the learning material collections, enhances the identification of weak points, optimizes the marking engine performance with the text matching degree, reduces the marking time, and ensures efficient and high-quality assessments. Overall, this system shows great potential for widespread adoption.

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Artificial Intelligence in Medicine: Passing Hype or the Holy Grail of Solutions?

Cited by 2 publications

References 22 publications

Artificial Intelligence in Senology - Where Do We Stand and What Are the Future Horizons?

Artificial Intelligence in Senology - Where Do We Stand and What Are the Future Horizons?

Design and Application of an Automatic Scoring System for English Composition Based on Artificial Intelligence Technology

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