Curēus
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Artificial intelligence (AI) is a path-breaking advancement for many industries, including the health care sector. The expeditious development of information technology and data processing has led to the formation of recent tools known as artificial intelligence. Radiology has been a portal for medical technological advancements, and AI will likely be no dissimilar. ⋯ We found out that the application of AI could make time-dependent tasks that can be performed effortlessly, permitting radiologists more time and opportunities to engage in patient care via increased time for consultation and development in imaging and extracting useful data from those images. AI could only be an aid to radiologists but will not replace a radiologist. Radiologists who use AI to their benefit, rather than to avoid it out of fear, might supersede those radiologists who do not. Substantial research should be done regarding the practical implications of AI algorithms for residents curriculum and the benefits of AI in radiology.
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Acute respiratory distress syndrome (ARDS) is often associated with severe hypoxemia and a high mortality rate. Prone positioning is a well-established intervention for ARDS. It has been shown to improve oxygenation and prevent ventilator-induced lung injury due to the more uniform distribution of lung stress and strain. ⋯ Although no single variable used during prone positioning reduces mortality rates in ARDS patients, combining several optimal conditions may yield increased survival benefits. Early initiation of extended prone positioning sessions combined with low tidal volumes shows encouraging results in severe ARDS patients. Future research on this subject should focus on further examining these variables in a study enrolling a larger number of subjects in a setting with adequately trained staff familiar with proper prone positioning techniques.