On the Application of Artificial Intelligence Technology in the Field of Judicial Adjudication

Liu, Yifeng; Zhong, Yuqing

doi:10.1145/3495018.3495327

Cited by 3 publications

(4 citation statements)

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“…2) Intelligent optimal design: Research on intelligent optimization design mainly focuses on machine tool bed structure [12], ship structure [13], aircraft wing optimization [14], automatic production line production process optimization [15], parts structure [16], visual communication system [17] [18], and so on. Guizhou University proposed a method to optimize the bed structure of a precision grinding machine by using a BP neural network [19].…”

Section: Research Statusmentioning

confidence: 99%

Intelligent Optimization Design Technology for Typical Structural Parts of Aircraft

Chu,

Pei

2024

Frontiers in Artificial Intelligence and Applications

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The design for typical structural parts of aircraft directly affects the aircraft’s quality and maintenance cost. This paper analyzes the necessity of intelligent optimal design for typical aircraft structural parts and studies its current situation and development trend at home and abroad. In this paper, a new intelligent optimization design technology for typical aircraft structural parts is proposed. Based on its design framework, the technical system, the design method integrating knowledge, and the verification ideas based on the Internet architecture are described in detail. Finally, the next step is envisaged. Engineering implementation shows that the proposed intelligent optimization design technology greatly improves the quality of aircraft and reduces the cost of design and maintenance.

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Section: Research Statusmentioning

confidence: 99%

Intelligent Optimization Design Technology for Typical Structural Parts of Aircraft

Chu,

Pei

2024

Frontiers in Artificial Intelligence and Applications

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“…[17,19,[28][29][30] NLP methods can be used to identify phrases of treatment success or failure captured in progress notes and discern an indicator of treatment success for patients. [31] However, the use of NLP methods to develop an outcome measure that is reflective of both physician and patient perspectives of success requires an agreed upon definition of treatment success that can be used to train the NLP model. [32,33] The degree of pain relief, joint function, and ability to engage in activities of daily living and physical activities, which are key dimensions of treatment success, are highly patient-dependent.…”

Section: Introductionmentioning

confidence: 99%

Physician and Patient Perspectives on Treatment Success Captured in Clinical Progress Notes (Preprint)

Floyd,

Sutton,

Okon

et al. 2024

Preprint

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BACKGROUND Clinical progress notes are generated for patients during each healthcare encounter and include information on current disease symptoms and rehabilitation progress. These notes provide a rich data source for the application of natural language processing (NLP) methods to identify patients experiencing successful treatment outcomes. However, to use NLP methods to develop an outcome measure that is reflective of both physician and patient perspectives, there needs to be an agreed upon set of patient experiences that reflect treatment success. OBJECTIVE The objective of this paper was to assess if physicians and patients agree on whether patient experiences captured in clinical progress notes reflect a successful patient outcome following orthopaedic treatment. METHODS We performed a cross-sectional analysis of a subset of clinical notes for patients presenting to a Level-1 Trauma Center Regional Health System for follow-up for an acute Proximal Humerus Fracture (PHF). Physicians and patients reviewed a sample of 100 clinical notes and labeled each note as reflecting one of four treatment outcome labels (treatment success, improvement, deterioration, or failure). The four outcome levels were then aggregated into a binary classifier indicating treatment success or failure, and agreement between physicians and patient labels were assessed. Descriptive analyses were performed to report characteristics of the sample. Cohen’s Kappa statistics were used to assess the degree of agreement between physician and patient evaluators. RESULTS The average age of the patients in the sample was 67 years of age (SD= 13.6) and 82% of the notes came from female patients. Patients were primarily white (91%) and had Medicare insurance coverage (65%). The note sample came from fracture-related encounters ranging from the second to the 10th encounter after the PHF visit. There were no significant differences in patient or visit characteristics across concordant and discordant notes. Physician and patient evaluators exhibited a fair level of agreement in what they deemed as treatment success based on a Cohen’s Kappa of 0.32 ((95% CI, 0.10 to .55), p = .01). CONCLUSIONS Findings suggest that physicians and patients only demonstrated fair agreement when interpreting whether a patient had achieved treatment success following treatment for an acute shoulder fracture. Further research is needed to examine how different perceptions of treatment success may influence the development of NLP-based outcome measures.

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“…Currently, it mainly relies on reading these materials manually and using keyword searching or regular matching (Merrouni et al, 2020) to find dispute issues. However, in China, most judges have been working at ‘full capacity’ for a long time (Liu, 2023), such a labor‐intensive and time‐consuming work will further seriously drag down judicial efficiency (Lagos et al, 2010). Besides, judges should focus on different key information while dealing with various cases and this requires them to have a wealth of priori knowledge of different types of cases, which would take them a certain amount of time to learn and understand knowledge in unfamiliar areas (Guthrie et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Besides, judges should focus on different key information while dealing with various cases and this requires them to have a wealth of priori knowledge of different types of cases, which would take them a certain amount of time to learn and understand knowledge in unfamiliar areas (Guthrie et al, 2007). Moreover, manually searching or matching depends heavily on the carefulness and experience of the judges, which are of great uncertainty and instability (Liu, 2023; Themeli & Philipsen, 2021). If there is an approach to automatically extract key events from the materials of cases accurately, both labor and time costs would be reduced.…”

Section: Introductionmentioning

confidence: 99%

Judicial intelligent assistant system: Extracting events from Chinese divorce cases to detect disputes for the judge

Zhang,

Li,

Sheng

et al. 2024

Expert Systems

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In the formal procedure of Chinese civil cases, the textual materials provided by different parties describe the development process of the cases. It is a difficult but necessary task to extract the key information for the cases from these textual materials and to clarify the dispute focus of related parties. Currently, officers read the materials manually and use methods, such as keyword searching and regular matching, to get the target information. These approaches are time‐consuming and heavily depend on prior knowledge and the carefulness of the officers. To assist the officers in enhancing working efficiency and accuracy, we conduct a case study of detecting disputes from Chinese divorce cases based on proposing a Two‐Round‐Labeling (TRL) event extracting technique in this article. We implement the Judicial Intelligent Assistant (JIA) system according to the proposed approach to (1) automatically extract focus events from divorce case materials, (2) align events by identifying co‐reference among them, and (3) detect conflicts among events brought by the plaintiff and the defendant. With the JIA system, it is convenient for judges to determine the disputed issues in Chinese divorce cases. Experimental results demonstrate that the proposed approach and system can obtain the focus of Chinese divorce cases and detect conflicts more effectively and efficiently compared with the existing method.

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On the Application of Artificial Intelligence Technology in the Field of Judicial Adjudication

Cited by 3 publications

References 0 publications

Intelligent Optimization Design Technology for Typical Structural Parts of Aircraft

Intelligent Optimization Design Technology for Typical Structural Parts of Aircraft

Physician and Patient Perspectives on Treatment Success Captured in Clinical Progress Notes (Preprint)

Judicial intelligent assistant system: Extracting events from Chinese divorce cases to detect disputes for the judge

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