AIMC Topic: Prospective Studies

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Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study.

Journal of medical Internet research Nov 13, 2024
BACKGROUND: Assessing the complex and multifaceted symptoms of patients with acute psychiatric disorders proves to be significantly challenging for clinicians. Moreover, the staff in acute psychiatric wards face high work intensity and risk of burnou...
Acute Disease Schizophrenia Middle Aged Humans Deep Learning Mental Disorders Wearable Electronic Devices Prospective Studies Inpatients Republic of Korea Female Adult Male
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Comparison of MRI artificial intelligence-guided cognitive fusion-targeted biopsy versus routine cognitive fusion-targeted prostate biopsy in prostate cancer diagnosis: a randomized controlled trial.

BMC medicine Nov 13, 2024
BACKGROUND: Cognitive fusion MRI-guided targeted biopsy (cTB) has been widely used in the diagnosis of prostate cancer (PCa). However, cTB relies heavily on the operator's experience and confidence in MRI readings. Our objective was to compare the ca...
Humans Artificial Intelligence Male Middle Aged Magnetic Resonance Imaging Prospective Studies Aged Prostatic Neoplasms Prostate Image-Guided Biopsy
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Data-driven explainable machine learning for personalized risk classification of myasthenic crisis.

International journal of medical informatics Nov 12, 2024
OBJECTIVE: Myasthenic crisis (MC) is a critical progression of Myasthenia gravis (MG), requiring intensive care treatment and invasive therapies. Classifying patients at high-risk for MC facilitates treatment decisions such as changes in medication o...
Humans Machine Learning Prospective Studies Female Risk Assessment Myasthenia Gravis Aged Adult Male Middle Aged
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Pilot study protocol evaluating the impact of telerobotics interactions with autistic children during a Denver intervention on communication skills using single-case experimental design.

BMJ open Nov 12, 2024
INTRODUCTION: For several years, studies have been conducted on the contribution of social robots as an intervention tool for children with autism spectrum disorder (ASD). One of the early intervention models recommended by the French National Author...
Communication Male Research Design Pilot Projects Social Interaction Humans Prospective Studies Child, Preschool Single-Case Studies as Topic Robotics Autism Spectrum Disorder Early Intervention, Educational Female
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Modification and Validation of the System Causability Scale Using AI-Based Therapeutic Recommendations for Urological Cancer Patients: A Basis for the Development of a Prospective Comparative Study.

Current oncology (Toronto, Ont.) Nov 11, 2024
The integration of artificial intelligence, particularly Large Language Models (LLMs), has the potential to significantly enhance therapeutic decision-making in clinical oncology. Initial studies across various disciplines have demonstrated that LLM-...
Artificial Intelligence Humans Prospective Studies Reproducibility of Results Urologic Neoplasms
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Gender-specific aspects of socialisation and risk of cardiovascular disease among community-dwelling older adults: a prospective cohort study using machine learning algorithms and a conventional method.

Journal of epidemiology and community health Nov 11, 2024
BACKGROUND: Gender influences cardiovascular disease (CVD) through norms, social relations, roles and behaviours. This study identified gender-specific aspects of socialisation associated with CVD.
Humans Machine Learning Algorithms Prospective Studies Cardiovascular Diseases Female Longitudinal Studies Risk Factors Australia Aged Sex Factors Aged, 80 and over Independent Living Male
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A Novel Management Challenge in Age-Related Macular Degeneration: Artificial Intelligence and Expert Prediction of Geographic Atrophy.

Ophthalmology. Retina Nov 9, 2024
PURPOSE: The progression of geographic atrophy (GA) secondary to age-related macular degeneration is highly variable among individuals. Prediction of the progression is critical to identify patients who will benefit most from the first treatments cur...
Geographic Atrophy Disease Progression Deep Learning Follow-Up Studies Visual Acuity Aged Aged, 80 and over Male Macular Degeneration Middle Aged Humans Disease Management Tomography, Optical Coherence Fluorescein Angiography Artificial Intelligence Fundus Oculi Algorithms Prospective Studies Female
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Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography.

The international journal of cardiovascular imaging Nov 8, 2024
PURPOSE: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for invasive coronary angiography (ICA) in high-risk non-ST-elevation (NSTE) acute coronary syndrome (ACS) patients based ...
Prospective Studies Clinical Decision-Making Female Reproducibility of Results Humans Artificial Intelligence Decision Support Techniques Risk Assessment Non-ST Elevated Myocardial Infarction Predictive Value of Tests Double-Blind Method Coronary Angiography Risk Factors Aged Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Acute Coronary Syndrome Computed Tomography Angiography
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Artificial intelligence-enhanced infrared thermography as a diagnostic tool for thyroid malignancy detection.

Annals of medicine Nov 8, 2024
INTRODUCTION: Thyroid nodules are common, and investigation is crucial for excluding malignancy. Increased intranodular vascularity is frequently observed in malignant tumors, which can be detected through increased skin surface temperatures using no...
Thyroid Neoplasms Prospective Studies Thyroid Nodule Female Neural Networks, Computer Sensitivity and Specificity Male Infrared Rays Aged Artificial Intelligence Middle Aged Cross-Sectional Studies Thermography Adult Machine Learning Thyroid Gland Humans Algorithms
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Joint suppression of cardiac bSSFP cine banding and flow artifacts using twofold phase-cycling and a dual-encoder neural network.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Nov 7, 2024
BACKGROUND: Cardiac balanced steady state free precession (bSSFP) cine imaging suffers from banding and flow artifacts induced by off-resonance. The work aimed to develop a twofold phase cycling sequence with a neural network-based reconstruction (2P...
Male Reproducibility of Results Humans Predictive Value of Tests Ventricular Function, Left Aged Artifacts Neural Networks, Computer Image Interpretation, Computer-Assisted Young Adult Middle Aged Magnetic Resonance Imaging, Cine Prospective Studies Adult Case-Control Studies Female
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