Artificial intelligence: is it the right time for clinical laboratories?
Andrea Padoan, Mario Plebani Computability theory as a philosophical achievement
Matteo Plebani, Luca San Mauro Artificial intelligence in laboratory medicine: fundamental ethical issues and normative key-points
Federico Pennestrì, Giuseppe Banfi Flowing through laboratory clinical data: the role of artificial intelligence and big data
Andrea Padoan, Mario Plebani Artificial intelligence at the time of COVID-19: who does the lion’s share?
Davide Negrini, Elisa Danese, Brandon M. Henry, Giuseppe Lippi, Martina Montagnana How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using only laboratory data
Anna Carobene, Frida Milella, Lorenzo Famiglini, Federico Cabitza Turnaround time prediction for clinical chemistry samples using machine learning
Eline R. Tsai, Derya Demirtas, Nick Hoogendijk, Andrei N. Tintu, Richard J. Boucherie Searching for the urine osmolality surrogate: an automated machine learning approach
Deniz İlhan Topcu, Nilüfer Bayraktar Automated prediction of low ferritin concentrations using a machine learning algorithm
Steef Kurstjens, Thomas de Bel, Armando van der Horst, Ron Kusters, Johannes Krabbe, Jasmijn van Balveren Integration of artificial intelligence and plasma steroidomics with laboratory information management systems: application to primary aldosteronism
Georgiana Constantinescu, Manuel Schulze, Mirko Peitzsch, Thomas Hofmockel, Ute I. Scholl, Tracy Ann Williams, Jacques W.M. Lenders, Graeme Eisenhofer Identifying predictors of varices grading in patients with cirrhosis using ensemble learning
Azadeh Bayani, Azamossadat Hosseini, Farkhondeh Asadi, Behzad Hatami, Kaveh Kavousi, Mehrdad Aria, Mohammad Reza Zali Machine learning-based system for prediction of ascites grades in patients with liver cirrhosis using laboratory and clinical data: design and implementation study
Behzad Hatami, Farkhondeh Asadi, Azadeh Bayani, Mohammad Reza Zali, Kaveh Kavousi Performance of machine learning techniques on prediction of esophageal varices grades among patients with cirrhosis
Azadeh Bayani, Farkhondeh Asadi, Azamossadat Hosseini, Behzad Hatami, Kaveh Kavousi, Mehrad Aria, Mohammad Reza Zali Diagnosis of hepatocellular carcinoma based on salivary protein glycopatterns and machine learning algorithms
Zhen Tang, Fan Zhang, Yuan Wang, Chen Zhang, Xia Li, Mengqi Yin, Jian Shu, Hanjie Yu, Xiawei Liu, Yonghong Guo, Zheng Li Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis
Qin Pei, Yanan Luo, Yiyu Chen, Jingyuan Li, Dan Xie, Ting Ye A highly accurate delta check method using deep learning for detection of sample mix-up in the clinical laboratory
Rui Zhou, Yu-fang Liang, Hua-Li Cheng, Wei Wang, Da-wei Huang, Zhe Wang, Xiang Feng, Ze-wen Han, Biao Song, Andrea Padoan, Mario Plebani, Qing-tao Wang Decision support or autonomous artificial intelligence? The case of wrong blood in tube errors
Christopher-John L. Farrell Traceable machine learning real-time quality control based on patient data
Rui Zhou, Wei Wang, Andrea Padoan, Zhe Wang, Xiang Feng, Zewen Han, Chao Chen, Yufang Liang, Tingting Wang, Weiqun Cui, Mario Plebani, Qingtao Wang Using artificial intelligence in a primary care setting to identify patients at risk for cancer: a risk prediction model based on routine laboratory tests
Patricia Diana Soerensen, Henry Christensen, Soeren Gray Worsoe Laursen, Christian Hardahl, Ivan Brandslund, Jonna Skov Madsen A survey on Artificial Intelligence and Big Data utilisation in Italian clinical laboratories
Claudia Bellini, Andrea Padoan, Anna Carobene, Roberto Guerranti | 
