AIMC Topic: Prospective Studies
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Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods.
Computer methods and programs in biomedicine
Mar 12, 2024
BACKGROUND: Estimating the risk of a difficult tracheal intubation should help clinicians in better anaesthesia planning, to maximize patient safety. Routine bedside screenings suffer from low sensitivity.
Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment.
Academic radiology
Mar 11, 2024
RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction potential and diagnostic performance with the use of high-strength deep learning image reconstruction (DLIR-H) in transcatheter aortic valve implantation ...
Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning.
BMC medical informatics and decision making
Mar 11, 2024
BACKGROUND: Pre-operative risk assessment can help clinicians prepare patients for surgery, reducing the risk of perioperative complications, length of hospital stay, readmission and mortality. Further, it can facilitate collaborative decision-making...
Improved Arterial Stiffness Indices 3 and 6 Months after Living-donor Renal Transplantation.
Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia
Mar 11, 2024
Arterial stiffness is a non-traditional risk factor of cardiovascular disease and may explain part of the excess cardiovascular risk in chronic kidney disease patients. Successful renal transplantation (RT) may restore renal function and improve seve...
Assessing the Potential Role of Artificial Intelligence in Medication-Related Osteonecrosis of the Jaw Information Sharing.
Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons
Mar 9, 2024
BACKGROUND: Artificial Intelligence, by answering questions about disease prevention strategies, can contribute to making diseases more treatable in their early stages.
Metabolomics profile and machine learning prediction of treatment responses in immune thrombocytopenia: A prospective cohort study.
British journal of haematology
Mar 4, 2024
Immune thrombocytopenia (ITP) is an autoimmune disease characterized by antibody-mediated platelet destruction and impaired platelet production. The mechanisms underlying ITP and biomarkers predicting the response of drug treatments are elusive. We p...
Artificial Intelligence-Generated Draft Replies to Patient Inbox Messages.
JAMA network open
Mar 4, 2024
IMPORTANCE: The emergence and promise of generative artificial intelligence (AI) represent a turning point for health care. Rigorous evaluation of generative AI deployment in clinical practice is needed to inform strategic decision-making.
Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in primary care settings.
Scientific reports
Mar 3, 2024
Interpreting chest X-rays is a complex task, and artificial intelligence algorithms for this purpose are currently being developed. It is important to perform external validations of these algorithms in order to implement them. This study therefore a...
The role of cell-free DNA biomarkers and patient data in the early prediction of preeclampsia: an artificial intelligence model.
American journal of obstetrics and gynecology
Mar 2, 2024
BACKGROUND: Accurate individualized assessment of preeclampsia risk enables the identification of patients most likely to benefit from initiation of low-dose aspirin at 12 to 16 weeks of gestation when there is evidence for its effectiveness, and ena...
A machine learning algorithm-based predictive model for pressure injury risk in emergency patients: A prospective cohort study.
International emergency nursing
Mar 2, 2024
OBJECTIVES: To construct pressure injury risk prediction models for emergency patients based on different machine learning algorithms, to optimize the best model, and to provide a suitable assessment tool for preventing the occurrence of pressure inj...
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