AIMC Topic: Follow-Up Studies

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Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Apr 23, 2020
BACKGROUND: Screening and early diagnosis of pulmonary hypertension (PH) are critical for managing progression and preventing associated mortality; however, there are no tools for this purpose. We developed and validated an artificial intelligence (A...
ROC Curve Electrocardiography Follow-Up Studies Early Diagnosis Hypertension, Pulmonary Humans Neural Networks, Computer Artificial Intelligence Algorithms Retrospective Studies Female Aged Male Middle Aged
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Association of Cardiovascular Mortality and Deep Learning-Funduscopic Atherosclerosis Score derived from Retinal Fundus Images.

American journal of ophthalmology Mar 25, 2020
PURPOSE: The prediction of atherosclerosis using retinal fundus images and deep learning has not been shown possible. The purpose of this study was to develop a deep learning model which predicted atherosclerosis by using retinal fundus images and to...
Retina Carotid Arteries Ophthalmoscopy Survival Rate Male Cardiovascular Diseases Middle Aged Risk Assessment Deep Learning Ultrasonography Follow-Up Studies Predictive Value of Tests Atherosclerosis Fundus Oculi Humans Prognosis Retrospective Studies Republic of Korea Female Risk Factors Aged Aged, 80 and over Adult
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Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non-small cell lung cancer patients at a lung cancer center in China.

Thoracic cancer Mar 19, 2020
BACKGROUND: IBM Watson for Oncology (WFO) provides physicians with evidence-based treatment options. This study was designed to explore the concordance of the suggested therapeutic regimen for advanced non-small cell lung (NSCLC) cancer patients betw...
China Follow-Up Studies Humans Decision Support Systems, Clinical Female Patient Selection Lung Neoplasms Artificial Intelligence Carcinoma, Squamous Cell Practice Guidelines as Topic Prognosis United States Survival Rate Evidence-Based Medicine Retrospective Studies Carcinoma, Non-Small-Cell Lung Male Adenocarcinoma of Lung Clinical Decision-Making Middle Aged
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Value of a Machine Learning Approach for Predicting Clinical Outcomes in Young Patients With Hypertension.

Hypertension (Dallas, Tex. : 1979) Mar 16, 2020
Risk stratification of young patients with hypertension remains challenging. Generally, machine learning (ML) is considered a promising alternative to traditional methods for clinical predictions because it is capable of processing large amounts of c...
Stroke Models, Biological Heart Diseases Proportional Hazards Models Hypertension Treatment Outcome Follow-Up Studies Antihypertensive Agents Humans Kidney Failure, Chronic Machine Learning Prognosis Forecasting Hospitalization Prospective Studies Young Adult Adult Adolescent
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Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data.

Scientific reports Mar 16, 2020
Cell Population Data (CPD) provides various blood cell parameters that can be used for differential diagnosis. Data analytics using Machine Learning (ML) have been playing a pivotal role in revolutionizing medical diagnostics. This research presents ...
Female Aged Young Adult Adult Biomarkers, Tumor Neural Networks, Computer Follow-Up Studies Hematologic Neoplasms Artificial Intelligence Humans Diagnosis, Differential Male Machine Learning Middle Aged Algorithms Adolescent Prognosis Support Vector Machine
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Improving Mortality Predictions for Patients With Mechanical Circulatory Support Using Follow-Up Data and Machine Learning.

Circulation. Genomic and precision medicine Mar 11, 2020
Humans Machine Learning Prognosis Survival Rate Hospital Mortality Follow-Up Studies Registries Heart Failure Heart-Assist Devices
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Machine Learning techniques in breast cancer prognosis prediction: A primary evaluation.

Cancer medicine Mar 10, 2020
More than 750 000 women in Italy are surviving a diagnosis of breast cancer. A large body of literature tells us which characteristics impact the most on their prognosis. However, the prediction of each disease course and then the establishment of a ...
Breast Neoplasms Middle Aged Disease Progression Follow-Up Studies Italy Neoplasm Recurrence, Local Algorithms Combined Modality Therapy Humans Prognosis Neural Networks, Computer Retrospective Studies Machine Learning Female Survival Rate
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CHD Risk Minimization through Lifestyle Control: Machine Learning Gateway.

Scientific reports Mar 5, 2020
Studies on the influence of a modern lifestyle in abetting Coronary Heart Diseases (CHD) have mostly focused on deterrent health factors, like smoking, alcohol intake, cheese consumption and average systolic blood pressure, largely disregarding the i...
Coronary Disease Healthy Lifestyle Male Humans Middle Aged Risk Factors Diet Machine Learning Aged Adolescent Prognosis Aged, 80 and over Follow-Up Studies Female Young Adult Adult
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Hypofractionated Robotic Stereotactic Radiosurgery for Vagal Paragangliomas: A Novel Treatment Strategy for Cranial Nerve Preservation.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Mar 3, 2020
OBJECTIVE: To provide the first description of hypofractionated stereotactic radiosurgery (SRS) and evaluate tumor control and safety for vagal paragangliomas (VPs), which begin at the skull base but often have significant extracranial extension.
Tomography, X-Ray Computed Female Young Adult Adult Male Humans Retrospective Studies Robotics Middle Aged Neoplasm Staging Adolescent Radiosurgery Treatment Outcome Vagus Nerve Follow-Up Studies Cranial Nerve Neoplasms Magnetic Resonance Imaging Paraganglioma
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Discriminating glaucomatous and compressive optic neuropathy on spectral-domain optical coherence tomography with deep learning classifier.

The British journal of ophthalmology Feb 25, 2020
BACKGROUND/AIMS: To assess the performance of a deep learning classifier for differentiation of glaucomatous optic neuropathy (GON) from compressive optic neuropathy (CON) based on ganglion cell-inner plexiform layer (GCIPL) and retinal nerve fibre l...
Humans Glaucoma Retrospective Studies Female Aged Follow-Up Studies Tomography, Optical Coherence Nerve Fibers Optic Disk Retinal Ganglion Cells Visual Fields Intraocular Pressure Male Middle Aged Deep Learning ROC Curve Optic Nerve Diseases
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