Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV

By sjmartinez • June 6, 2023

Torgersen J, Akers S, Huo Y, Terry JG, Carr JJ, Ruutiainen AT, Skanderson M, Levin W, Lim JK, Taddei TH, So-Armah K, Bhattacharya D, Rentsch CT, Shen L, Carr R, Shinohara RT, McClain M, Freiberg M, Justice AC, Lo Re V 3rd. Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV. Pharmacoepidemiol Drug Saf. 2023 Jun 5. doi: 10.1002/pds.5648. Epub ahead of print. PMID: 37276449.

Tags: fatty liver disease, hepatic steatosis, Infectious Diseases, machine learning, Publications, validation, Veterans Administration

Rapid and reliable diagnosis of mucormycosis using colorimetric loop-mediated isothermal amplification

Gu Y, Ibrahim BA, Gebremariam T, Alkhazraji S, Aerts R, Vanbiervliet Y, Lagrou K, Maertens J, Prattes J, Egger M, Dichtl K, Jenks JD, Hoenigl[...]

Selectivity Modulation of Small Cationic Membrane-Active Cyclic Peptides with Broad-Spectrum Activity against Bacteria and Fungi

Lohan S, Tiwari RK, Maslennikov I, Das Gupta K, Singh S, Parang K. Selectivity Modulation of Small Cationic Membrane-Active Cyclic Peptides with Broad-Spectrum Activity against[...]

Bloodstream Infections Among Veterans With Cardiac Implantable Electronic Devices: Source Identification and Intervention Strategies

Basnet D, Golenbock S, Strymish JM, Mull HJ, Lamkin RP, Shin M, Harvey K, Karchmer AW, Branch-Elliman W. Bloodstream Infections Among Veterans With Cardiac Implantable[...]