AIMC Topic: Prospective Studies

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Enhancing repeatability of follicle counting with deep learning reconstruction high-resolution MRI in PCOS patients.

Scientific reports Jan 7, 2025
Follicle count, a pivotal metric in the adjunct diagnosis of polycystic ovary syndrome (PCOS), is often underestimated when assessed via transvaginal ultrasonography compared to MRI. Nevertheless, the repeatability of follicle counting using traditio...
Humans Prospective Studies Female Ovarian Follicle Image Processing, Computer-Assisted Magnetic Resonance Imaging Polycystic Ovary Syndrome Artifacts Reproducibility of Results Young Adult Adult Deep Learning
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Clinical validation of an artificial intelligence-based decision support system for diagnosis and risk stratification of heart failure (STRATIFYHF): a protocol for a prospective, multicentre longitudinal study.

BMJ open Jan 7, 2025
INTRODUCTION: Heart failure (HF) is a complex clinical syndrome. Accurate risk stratification and early diagnosis of HF are challenging as its signs and symptoms are non-specific. We propose to address this global challenge by developing the STRATIFY...
Multicenter Studies as Topic Heart Failure Validation Studies as Topic Risk Assessment Decision Support Systems, Clinical Humans Longitudinal Studies Artificial Intelligence Observational Studies as Topic Prospective Studies Aged Prognosis Male Female Middle Aged
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The Adelaide Score: prospective implementation of an artificial intelligence system to improve hospital and cost efficiency.

ANZ journal of surgery Jan 3, 2025
BACKGROUND: The Adelaide Score is an artificial intelligence system that integrates objective vital signs and laboratory tests to predict likelihood of hospital discharge.
Cost-Benefit Analysis Patient Readmission South Australia Artificial Intelligence Prospective Studies Female Aged Male Middle Aged Length of Stay Patient Discharge Humans
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Deep-Learning-Based Reconstruction of Single-Breath-Hold 3 mm HASTE Improves Abdominal Image Quality and Reduces Acquisition Time: A Quantitative Analysis.

Current oncology (Toronto, Ont.) Jan 3, 2025
Breath-hold T2-weighted half-Fourier acquisition single-shot turbo spin echo (HASTE) magnetic resonance imaging (MRI) of the upper abdomen with a slice thickness below 5 mm suffers from high image noise and blurring. The purpose of this prospective ...
Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Abdomen Female Prospective Studies Aged Adult Male Magnetic Resonance Imaging Signal-To-Noise Ratio Breath Holding
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Machine learning-assisted construction of COPD self-evaluation questionnaire (COPD-EQ): a national multicentre study in China.

Journal of global health Jan 3, 2025
BACKGROUND: Approximately 70% of chronic obstructive pulmonary disease (COPD) is underdiagnosed worldwide. We aimed to develop and validate a COPD self-evaluation questionnaire (COPD-EQ) that is better suited for COPD screening in China.
Machine Learning Prospective Studies Female Reproducibility of Results Humans China Surveys and Questionnaires Delphi Technique Mass Screening Diagnostic Self Evaluation Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged
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Artificial Intelligence Assistance in Point-of-Care Ultrasound Skill Retention for Novice Users in Space Medicine Scenarios.

Wilderness & environmental medicine Jan 2, 2025
IntroductionAs humanity progresses further into space, astronauts must be increasingly independent from mission control, especially in high-consequence medical scenarios. The high-utility and low-mass nature of point-of-care ultrasound (POCUS) makes ...
Humans Artificial Intelligence Point-of-Care Systems Middle Aged Prospective Studies Ultrasonography Female Astronauts Adult Aerospace Medicine Male
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A deep multiple instance learning framework improves microsatellite instability detection from tumor next generation sequencing.

Nature communications Jan 2, 2025
Microsatellite instability (MSI) is a critical phenotype of cancer genomes and an FDA-recognized biomarker that can guide treatment with immune checkpoint inhibitors. Previous work has demonstrated that next-generation sequencing data can be used to ...
Microsatellite Instability Prospective Studies High-Throughput Nucleotide Sequencing Humans Biomarkers, Tumor Neural Networks, Computer Neoplasms Software Deep Learning Algorithms
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Performance analysis of a deep-learning algorithm to detect the presence of inflammation in MRI of sacroiliac joints in patients with axial spondyloarthritis.

Annals of the rheumatic diseases Jan 2, 2025
OBJECTIVES: To assess the ability of a previously trained deep-learning algorithm to identify the presence of inflammation on MRI of sacroiliac joints (SIJ) in a large external validation set of patients with axial spondyloarthritis (axSpA).
Middle Aged Deep Learning Reproducibility of Results Humans Inflammation Sacroiliac Joint Adult Algorithms Magnetic Resonance Imaging Sensitivity and Specificity Axial Spondyloarthritis Prospective Studies Male Female
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Identification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning.

Lung cancer (Amsterdam, Netherlands) Jan 2, 2025
OBJECTIVES: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through...
Gene Expression Regulation, Neoplastic Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Neoplasm Staging Small Cell Lung Carcinoma Gene Expression Profiling Transcriptome Lung Neoplasms Immunotherapy Aged Biomarkers, Tumor Male Middle Aged Humans Machine Learning Prospective Studies Prognosis Female
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A machine learning model utilizing Delphian lymph node characteristics to predict contralateral central lymph node metastasis in papillary thyroid carcinoma: a prospective multicenter study.

International journal of surgery (London, England) Jan 1, 2025
BACKGROUND: This study aimed to use artificial intelligence (AI) to integrate various radiological and clinical pathological data to identify effective predictors of contralateral central lymph node metastasis (CCLNM) in patients with papillary thyro...
Lymphatic Metastasis Thyroid Cancer, Papillary Male Humans Prospective Studies Middle Aged Machine Learning Thyroid Neoplasms Female Lymph Nodes Aged Adult
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