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How AI Is Changing Medical Imaging to Improve Patient Care
That doctors can peer into the human body without making a single incision once seemed like a miraculous concept. But medical imaging in radiology has come a long way, and the latest artificial intelligence (AI)-driven techniques are going much further: exploiting the massive computing abilities of AI and machine learning to mine body scans for differences that even the human eye can miss. Imaging in medicine now involves sophisticated ways of analyzing every data point to distinguish disease from health and signal from noise. If the first few decades of radiology were about refining the resolution of the pictures taken of...
Source: TIME: Health - November 4, 2022 Category: Consumer Health News Authors: Alice Park and Video by Andrew D. Johnson Tags: Uncategorized Frontiers of Medicine 2022 healthscienceclimate Innovation sponsorshipblock Source Type: news

Prognostic factors for mortality, intensive care unit and hospital admission due to SARS-CoV-2: a systematic review and meta-analysis of cohort studies in Europe
Eur Respir Rev. 2022 Nov 2;31(166):220098. doi: 10.1183/16000617.0098-2022. Print 2022 Dec 31.ABSTRACTBACKGROUND: As mortality from coronavirus disease 2019 (COVID-19) is strongly age-dependent, we aimed to identify population subgroups at an elevated risk for adverse outcomes from COVID-19 using age-/gender-adjusted data from European cohort studies with the aim to identify populations that could potentially benefit from booster vaccinations.METHODS: We performed a systematic literature review and meta-analysis to investigate the role of underlying medical conditions as prognostic factors for adverse outcomes due to sever...
Source: Respiratory Care - November 2, 2022 Category: Respiratory Medicine Authors: Constantine I Vardavas Alexander G Mathioudakis Katerina Nikitara Kimon Stamatelopoulos Georgios Georgiopoulos Revati Phalkey Jo Leonardi-Bee Esteve Fernandez Dolors Carnicer-Pont J ørgen Vestbo Jan C Semenza Charlotte Deogan Jonathan E Suk Piotr Kramarz Source Type: research