AIMC Topic: Feasibility Studies

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Robot-Assisted CT-Guided Biopsy with an Artificial Intelligence-Based Needle-Path Generator: An Experimental Evaluation Using a Phantom Model.

Journal of vascular and interventional radiology : JVIR Jan 21, 2025
PURPOSE: To investigate the feasibility of a robotic system with artificial intelligence-based lesion detection and path planning for computed tomography (CT)-guided biopsy compared with the conventional freehand technique.
Phantoms, Imaging Feasibility Studies Needles Radiography, Interventional Image-Guided Biopsy Robotics Humans Equipment Design Artificial Intelligence Robotic Surgical Procedures Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Predictive Value of Tests
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Semantic search helper: A tool based on the use of embeddings in multi-item questionnaires as a harmonization opportunity for merging large datasets - A feasibility study.

European psychiatry : the journal of the Association of European Psychiatrists Jan 20, 2025
BACKGROUND: Recent advances in natural language processing (NLP), particularly in language processing methods, have opened new avenues in semantic data analysis. A promising application of NLP is data harmonization in questionnaire-based cohort studi...
Humans Surveys and Questionnaires Natural Language Processing Feasibility Studies Datasets as Topic Semantics
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Clinical feasibility of deep learning-driven magnetic resonance angiography collateral map in acute anterior circulation ischemic stroke.

Scientific reports Jan 17, 2025
To validate the clinical feasibility of deep learning-driven magnetic resonance angiography (DL-driven MRA) collateral map in acute ischemic stroke. We employed a 3D multitask regression and ordinal regression deep neural network, called as 3D-MROD-N...
Magnetic Resonance Angiography Cerebrovascular Circulation Collateral Circulation Female Middle Aged Aged Deep Learning Aged, 80 and over Ischemic Stroke Male Humans Feasibility Studies
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Extraction and classification of structured data from unstructured hepatobiliary pathology reports using large language models: a feasibility study compared with rules-based natural language processing.

Journal of clinical pathology Jan 17, 2025
AIMS: Structured reporting in pathology is not universally adopted and extracting elements essential to research often requires expensive and time-intensive manual curation. The accuracy and feasibility of using large language models (LLMs) to extrac...
Natural Language Processing Feasibility Studies Data Mining Large Language Models Humans Retrospective Studies Liver Neoplasms Carcinoma, Hepatocellular
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A novel hybrid deep learning framework based on biplanar X-ray radiography images for bone density prediction and classification.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Jan 15, 2025
UNLABELLED: This study utilized deep learning for bone mineral density (BMD) prediction and classification using biplanar X-ray radiography (BPX) images from Huashan Hospital Medical Checkup Center. Results showed high accuracy and strong correlation...
Bone Density Osteoporosis Tomography, X-Ray Computed Female Aged Lumbar Vertebrae Aged, 80 and over Humans Feasibility Studies Adult Absorptiometry, Photon Male Middle Aged Deep Learning Radiography Radiographic Image Interpretation, Computer-Assisted
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Exploring Dance as a Therapeutic Approach for Parkinson Disease Through the Social Robotics for Active and Healthy Ageing (SI-Robotics): Results From a Technical Feasibility Study.

JMIR aging Jan 14, 2025
BACKGROUND: Parkinson disease (PD) is a progressive neurodegenerative disorder characterized by motor symptoms. Recently, dance has started to be considered an effective intervention for people with PD. Several findings in the literature emphasize th...
Healthy Aging Dance Therapy Gait Feasibility Studies Dancing Female Aged Male Middle Aged Humans Quality of Life Parkinson Disease Robotics Postural Balance
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Clinical Application of Deep Learning-Assisted Needles Reconstruction in Prostate Ultrasound Brachytherapy.

International journal of radiation oncology, biology, physics Jan 11, 2025
PURPOSE: High dose rate (HDR) prostate brachytherapy (BT) procedure requires image-guided needle insertion. Given that general anesthesia is often employed during the procedure, minimizing overall planning time is crucial. In this study, we explore t...
Radiotherapy, Image-Guided Radiotherapy Planning, Computer-Assisted Needles Brachytherapy Radiotherapy Dosage Deep Learning Time Factors Ultrasonography Image Processing, Computer-Assisted Prostatic Neoplasms Ultrasonography, Interventional Prostate Feasibility Studies Humans Male
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Machine learning-based prediction model integrating ultrasound scores and clinical features for the progression to rheumatoid arthritis in patients with undifferentiated arthritis.

Clinical rheumatology Jan 10, 2025
OBJECTIVES: Predicting rheumatoid arthritis (RA) progression in undifferentiated arthritis (UA) patients remains a challenge. Traditional approaches combining clinical assessments and ultrasonography (US) often lack accuracy due to the complex intera...
Humans Machine Learning Prospective Studies Disease Progression Severity of Illness Index Ultrasonography Arthritis, Rheumatoid Adult Sensitivity and Specificity Male Middle Aged Joints Predictive Value of Tests Random Forest Feasibility Studies Antirheumatic Agents
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Evaluation of Multilingual Simplifications of IR Procedural Reports Using GPT-4.

Journal of vascular and interventional radiology : JVIR Jan 9, 2025
This study assessed the feasibility of large language models such as GPT-4 (OpenAI, San Francisco, California) to summarize interventional radiology procedural reports to improve layperson understanding and translate medical texts into multiple langu...
Radiography, Interventional Humans Comprehension Language Multilingualism Feasibility Studies Translating
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Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest X-rays and electronic health records.

The international journal of cardiovascular imaging Jan 9, 2025
Amid an aging global population, heart failure has become a leading cause of hospitalization among older people. Its high prevalence and mortality rates underscore the importance of accurate mortality prediction for swift disease progression assessme...
Predictive Value of Tests Feasibility Studies Heart Failure Radiography, Thoracic Risk Assessment Deep Learning Electronic Health Records Time Factors Female Hospital Mortality Humans Reproducibility of Results Decision Support Techniques Aged Risk Factors Prognosis Aged, 80 and over Male Middle Aged
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