AIMC Topic: Follow-Up Studies

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Predictive modeling of outcomes in acute leukemia patients undergoing allogeneic hematopoietic stem cell transplantation using machine learning techniques.

Leukemia research Nov 20, 2024
BACKGROUND: Leukemia necessitates continuous research for effective therapeutic techniques. Acute leukemia (AL) patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) focus on key outcomes such as overall survival (OS), re...
Aged Precursor Cell Lymphoblastic Leukemia-Lymphoma Young Adult Leukemia Adult Humans Survival Rate Treatment Outcome Leukemia, Myeloid, Acute Follow-Up Studies Male Machine Learning Graft vs Host Disease Middle Aged Prognosis Hematopoietic Stem Cell Transplantation Adolescent Retrospective Studies Transplantation, Homologous Female Child, Preschool Child
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Machine learning-based prediction of elevated N terminal pro brain natriuretic peptide among US general population.

ESC heart failure Nov 19, 2024
AIMS: Natriuretic peptide-based pre-heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre...
Adult Male Middle Aged ROC Curve Nutrition Surveys United States Mass Screening Follow-Up Studies Population Surveillance Peptide Fragments Biomarkers Retrospective Studies Female Aged Young Adult Humans Machine Learning Heart Failure Natriuretic Peptide, Brain
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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 Middle Aged Disease Progression Deep Learning Follow-Up Studies Prospective Studies Visual Acuity Female Aged Aged, 80 and over Male Tomography, Optical Coherence Humans Fundus Oculi Artificial Intelligence Algorithms Macular Degeneration Disease Management Fluorescein Angiography
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Artificial intelligence algorithms enhance urine cytology reporting confidence in postoperative follow-up for upper urinary tract urothelial carcinoma.

International urology and nephrology Nov 7, 2024
PURPOSE: In Taiwan, the incidence of urothelial carcinoma of the upper urinary tract (UTUC) is high and intravesical recurrence is approximately 22%-47%. Thus, postoperative cystoscopy and urine cytology follow-up, which require experienced cytologis...
Middle Aged Follow-Up Studies Neoplasm Recurrence, Local Cytodiagnosis Carcinoma, Transitional Cell Retrospective Studies Kidney Neoplasms Female Urine Aged Postoperative Period Aged, 80 and over Humans Nephroureterectomy Male Artificial Intelligence Ureteral Neoplasms Algorithms
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Deep Learning Predicts Lymphovascular Invasion Status in Muscle Invasive Bladder Cancer Histopathology.

Annals of surgical oncology Oct 29, 2024
BACKGROUND: Lymphovascular invasion (LVI) is linked to poor prognosis in patients with muscle-invasive bladder cancer (MIBC). Accurately identifying the LVI status in MIBC patients is crucial for effective risk stratification and precision treatment....
Survival Rate Male Middle Aged Deep Learning ROC Curve Humans Prognosis Female Aged Follow-Up Studies Lymphatic Metastasis Urinary Bladder Neoplasms Neoplasm Invasiveness Lymphatic Vessels
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Application of Artificial Intelligence in the Diagnosis, Follow-Up and Prediction of Treatment of Ophthalmic Diseases.

Seminars in ophthalmology Oct 22, 2024
PURPOSE: To describe the application of artificial intelligence (AI) in ophthalmic diseases and its possible future directions.
Humans Artificial Intelligence Follow-Up Studies Eye Diseases Diagnostic Techniques, Ophthalmological
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A machine learning tool for identifying newly diagnosed heart failure in individuals with known diabetes in primary care.

ESC heart failure Oct 20, 2024
AIMS: We aimed to create a predictive model utilizing machine learning (ML) to identify new cases of congestive heart failure (CHF) in individuals with diabetes in primary health care (PHC) through the analysis of diagnostic data.
Risk Factors Aged Adult Male Middle Aged Humans Machine Learning Retrospective Studies Female Case-Control Studies Primary Health Care Diabetes Mellitus Follow-Up Studies Heart Failure
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Development and application of explainable artificial intelligence using machine learning classification for long-term facial nerve function after vestibular schwannoma surgery.

Journal of neuro-oncology Oct 11, 2024
PURPOSE: Vestibular schwannomas (VSs) represent the most common cerebellopontine angle tumors, posing a challenge in preserving facial nerve (FN) function during surgery. We employed the Extreme Gradient Boosting machine learning classifier to predic...
Facial Nerve Injuries Retrospective Studies Female Aged Adult Male Middle Aged Humans Follow-Up Studies Artificial Intelligence Neurosurgical Procedures Machine Learning Facial Nerve Neuroma, Acoustic
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Utilizing echocardiography and unsupervised machine learning for heart failure risk identification.

International journal of cardiology Oct 10, 2024
BACKGROUND: Global longitudinal strain (GLS) is recognized as a powerful predictor of heart failure (HF). However, the entire strain curve may entail important prognostic information regarding HF risk that might be undiscovered by only focusing on th...
Humans Female Aged Adult Male Unsupervised Machine Learning Heart Failure Echocardiography Middle Aged Risk Assessment Follow-Up Studies
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Effect of childhood atropine treatment on adult choroidal thickness using sequential deep learning-enabled segmentation.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Oct 6, 2024
PURPOSE: To describe choroidal thickness measurements using a sequential deep learning segmentation in adults who received childhood atropine treatment for myopia control.
Adolescent Child Follow-Up Studies Adult Humans Choroid Ophthalmic Solutions Male Prospective Studies Axial Length, Eye Tomography, Optical Coherence Middle Aged Female Mydriatics Myopia Young Adult Atropine Deep Learning
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