AIMC Topic: Clinical Laboratory Techniques

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Harnessing AI for enhanced evidence-based laboratory medicine (EBLM).

Clinica chimica acta; international journal of clinical chemistry Feb 3, 2025
The integration of artificial intelligence (AI) into laboratory medicine, is revolutionizing diagnostic accuracy, operational efficiency, and personalized patient care. AI technologies(machine learning, natural language processing and computer vision...
Humans Artificial Intelligence Precision Medicine Evidence-Based Medicine Clinical Laboratory Techniques
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The Laboratory Diagnosis of Malaria: A Focus on the Diagnostic Assays in Non-Endemic Areas.

International journal of molecular sciences Jan 5, 2024
Even if malaria is rare in Europe, it is a medical emergency and programs for its control should ensure both an early diagnosis and a prompt treatment within 24-48 h from the onset of the symptoms. The increasing number of imported malaria cases as w...
Humans Artificial Intelligence Algorithms Malaria Laboratories Clinical Laboratory Techniques
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Artificial intelligence in pathology and laboratory medicine.

Journal of clinical pathology May 24, 2021
Pathology, Clinical Clinical Laboratory Techniques Artificial Intelligence Automation, Laboratory Big Data Data Mining Humans
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Development of machine learning model for diagnostic disease prediction based on laboratory tests.

Scientific reports Apr 7, 2021
The use of deep learning and machine learning (ML) in medical science is increasing, particularly in the visual, audio, and language data fields. We aimed to build a new optimized ensemble model by blending a DNN (deep neural network) model with two ...
Machine Learning Databases, Factual Diagnosis, Computer-Assisted Deep Learning ROC Curve Disease Clinical Laboratory Techniques Humans Neural Networks, Computer
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Evaluating eligibility criteria of oncology trials using real-world data and AI.

Nature Apr 7, 2021
There is a growing focus on making clinical trials more inclusive but the design of trial eligibility criteria remains challenging. Here we systematically evaluate the effect of different eligibility criteria on cancer trial populations and outcomes ...
Electronic Health Records Reproducibility of Results Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Artificial Intelligence Patient Safety Proportional Hazards Models Clinical Laboratory Techniques Patient Selection Medical Oncology Datasets as Topic Clinical Trials as Topic
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Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning.

BMC infectious diseases Feb 18, 2021
BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused a global pandemic that has raised worldwide concern. This study aims to investigate the correlation between the extent of lung infection and relevant clinical laboratory testing indicators in...
Neutrophils Lymphocytes COVID-19 Testing Lymphocyte Count Male Middle Aged Lung Severity of Illness Index Clinical Laboratory Techniques Machine Learning Pandemics COVID-19 Prognosis Tomography, X-Ray Computed Female Adult Cross-Sectional Studies Humans
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Prototype Development of an Expert System of Computerized Clinical Guidelines for COVID-19 Diagnosis and Management in Saudi Arabia.

International journal of environmental research and public health Nov 2, 2020
The increasing number of COVID-19 patients has increased health care professionals' workloads, making the management of dynamic patient information in a timely and comprehensive manner difficult and sometimes impossible. Compounding this problem is a...
Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Coronavirus Infections COVID-19 Testing Expert Systems Practice Guidelines as Topic COVID-19 SARS-CoV-2 Saudi Arabia Humans Pandemics
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Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach.

PloS one Oct 28, 2020
In this work we present a three-stage Machine Learning strategy to country-level risk classification based on countries that are reporting COVID-19 information. A K% binning discretisation (K = 25) is used to create four risk groups of countries base...
Pneumonia, Viral Disaster Planning International Cooperation Clinical Laboratory Techniques Betacoronavirus Risk Assessment Models, Theoretical Support Vector Machine Decision Trees Algorithms Coronavirus Infections Humans Forecasting COVID-19 Testing Machine Learning SARS-CoV-2 Classification Global Health Pandemics Reagent Kits, Diagnostic COVID-19
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The implementation of a rapid sample preparation method for the detection of SARS-CoV-2 in a diagnostic laboratory in South Africa.

PloS one Oct 20, 2020
The SARS-CoV-2 pandemic has resulted in shortages of both critical reagents for nucleic acid purification and highly trained staff as supply chains are strained by high demand, public health measures and frequent quarantining and isolation of staff. ...
Humans Pandemics COVID-19 Betacoronavirus Robotics Pneumonia, Viral South Africa RNA, Viral COVID-19 Testing Coronavirus Infections Specimen Handling Reproducibility of Results Laboratories, Hospital SARS-CoV-2 Clinical Laboratory Techniques Sensitivity and Specificity Reverse Transcriptase Polymerase Chain Reaction
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Clinical Predictive Models for COVID-19: Systematic Study.

Journal of medical Internet research Oct 6, 2020
BACKGROUND: COVID-19 is a rapidly emerging respiratory disease caused by SARS-CoV-2. Due to the rapid human-to-human transmission of SARS-CoV-2, many health care systems are at risk of exceeding their health care capacities, in particular in terms of...
Machine Learning Pandemics COVID-19 Algorithms Retrospective Studies Intensive Care Units SARS-CoV-2 Hospitalization Humans Neural Networks, Computer Public Health Informatics Clinical Laboratory Techniques Betacoronavirus Predictive Value of Tests Pneumonia, Viral Sensitivity and Specificity Area Under Curve Brazil Coronavirus Infections Respiration, Artificial COVID-19 Testing ROC Curve
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