Unitary time-evolution in stochastic time-dependent Hilbert spaces von Curcuraci, L, Bacchi, S, Bassi, A

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What are medical student preconceptions regarding clinical neurology based upon? von Hone, L., Tan, S., Bacchi, S., Stacpoole, S.

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Bias, coronavirus, nationality, gender and neurology article citation count prediction with machine learning von Bacchi, S., Teoh, S.C., Lam, L., Schultz, D., Casson, Robert J., Chan, W.

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Deep learning in the marking of medical student short answer question examinations : Student perceptions and pilot accuracy assessment von L Hollis-Sando, C Pugh, K Franke, T Zerner, Y Tan, G Carneiro, A van den Hengel, I Symonds, P Duggan, S Bacchi

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Multiseason Recoveries of Organic and Inorganic Nitrogen-15 in Tropical Cropping Systems von Dourado-Neto, D, Powlson, D, Abu Bakar, R, Bacchi, O.O.S, Basanta, M.V, Thi Cong, P, Keerthisinghe, G, Ismaili, M, Rahman, S.M, Reichardt, K, Safwati, M.S.A, Sangakkara, R, Timm, L.C, Wang, J.Y, Zagal, E, Van Kessel, C

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Twenty-five years of computed tomography in soil physics: A literature review of the Brazilian contribution von Pires, Luiz F., Borges, Jaqueline A.R., Bacchi, Osny O.S., Reichardt, Klaus

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Prognostic impact of secondary prevention medical therapy in patients with Takotsubo cardiomyopathy: a Bayesian network meta-analysis von Zaka, A, Mutahar, D, Gupta, A, Kovoor, J, Stretton, B, Bacchi, S, Mridha, N

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Fallout radionuclide-based techniques for assessing the impact of soil conservation measures on erosion control and soil quality: an overview of the main lessons learnt under an FA... von Dercon, G., Mabit, L., Hancock, G., Nguyen, M.L., Dornhofer, P., Bacchi, O.O.S., Benmansour, M., Bernard, C., Froehlich, W., Golosov, V.N., Haciyakupoglu, S., Hai, P.S., Klik, A., Li, Y., Lobb, D.A., Onda, Y., Popa, N., Rafiq, M., Ritchie, J.C., Schuller, P., Shakhashiro, A., Wallbrink, P., Walling, D.E., Zapata, F., Zhang, X.

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Perioperative aspirin and coronary artery bypass graft surgery: a meta-analysis of randomised controlled trials von Zaka, A, Gupta, A, Lombardo, A, Kovoor, J, Bacchi, S, Smith, J, Bennetts, J, Maddern, G

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Machine learning for prediction of all-cause mortality in acute coronary syndrome von Zaka, A, Gupta, A, Mustafiz, C, Mutahar, D, Parvez, R, Stretton, B, Kovoor, J, Mridha, N, Bacchi, S

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Comparison of machine learning and traditional methods for prediction of adverse clinical events after percutaneous coronary intervention von Zaka, A, Gorcilov, J, Mutahar, D, Gupta, A, Kovoor, J, Stretton, B, Mridha, N, Sivagangabalan, G, Thiagalingam, A, Chow, C, Zaman, S, Kovoor, P, Bacchi, S

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Prognostic Value of Secondary Prevention Medical Therapy in Patients With Takotsubo Cardiomyopathy: A Bayesian Network Meta-Analysis von Zaka, A., Mutahar, D., Gupta, A., Kovoor, J., Stretton, B., Bacchi, S., Mridha, N.

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Stopping Versus Continuing Aspirin Before Coronary Artery Bypass Graft Surgery: A Meta-Analysis of Randomised Controlled Trials von Gupta, A., Zaka, A., Lombardo, A., Kovoor, J., Bacchi, S., Smith, J., Bennetts, J., Maddern, G.

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Drug Adverse Reactions in Cardiac Surgery Inpatients: Common Antibiotics and Analgesics von Gupta, A., Bacchi, S., Kovoor, J., Jiang, M., He, C., Vallely, M., Bennetts, J., Maddern, G.

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Perioperative Aspirin and Coronary Artery Bypass Surgery: A Meta-Analysis of Randomised Controlled Trials von Zaka, A., Gupta, A., Lombardo, A., Kovoor, J., Bacchi, S., Smith, J., Bennetts, J., Maddern, G.

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Machine Learning for Prediction of All-Cause Mortality in Acute Coronary Syndrome von Zaka, A., Gupta, A.K., Mustafiz, C., Mutahar, D., Parvez, R., Stretton, B., Kovoor, J.G., Mridha, N., Bacchi, S.

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Especially When Negative, Electronic Medical Record Document Design Requires Scientific Evaluation von Lim, M., Bacchi, S., Winton, T., Nguyen, M., Evans, S., Stretton, B., Roberts-Thomson, R., Psaltis, P.

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Using ECG and Artificial Intelligence to Predict HbA1c: A Non-Invasive Biomarker for Diabetes Mellitus? von Evans, S., Booth, A., Howson, S., Bacchi, S., Thiyagarajah, A., Fitzgerald, J., Abbas, M., Kamsani, S., Emami, M., Middeldorp, M., Sanders, P.

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Comparison of Machine Learning and Traditional Methods for Prediction of Adverse Clinical Events After Percutaneous Coronary Intervention von Zaka, A., Gorcilov, J., Mutahar, D., Gupta, A., Kovoor, J., Stretton, B., Mridha, N., Sivagangabalan, G., Thiagalingam, A., Chow, C., Zaman, S., Kovoor, P., Bacchi, S.

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From Pixels to Patterns: An Evaluation of AI-Generated Synthetic ECGs von Kamalanathan, H., Vuong, A., Bacchi, S., Kovoor, J., Evans, S., Mcintyre, D., Gupta, A., Stretton, B., Millhouse, J., Chow, C., Zaman, S., Gould, P., Thiagalingam, A., Kovoor, P.

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