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Mashup Score: 201 in 3 Americans who die in hospital had sepsis–and that’s just one of the many areas where AI can improve early diagnosis - 1 month(s) ago
The notion of AI as not only helpful but essential to the future practice of medicine is beginning to take root.
Source: fortune.comCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 1The Race to Reinvent CPR - 1 month(s) ago
A new, high-tech approach called ECPR can restart more hearts and save more lives. Why aren’t more hospitals embracing it?
Source: www.nytimes.comCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 2Pulmonary Complications in Hematopoietic Stem Cell Transplant Recipients-A Clinician Primer - PubMed - 1 month(s) ago
Hematopoietic stem cell transplants (HSCT) are becoming more widespread as a result of optimization of conditioning regimens and prevention of short-term complications with prophylactic antibiotics and antifungals. However, pulmonary complications post-HSCT remain a leading cause of morbidity and mo …
Source: pubmed.ncbi.nlm.nih.govCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 14Integrating artificial intelligence into healthcare systems: more than just the algorithm - 2 month(s) ago
npj Digital Medicine – Boussina et al. recently evaluated a deep learning sepsis prediction model (COMPOSER) in a prospective before-and-after quasi-experimental study within two emergency…
Source: www.nature.comCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 11Temporal Trends in Methamphetamine Use in Patients Admitted ... : Journal of Addiction Medicine - 2 month(s) ago
rate of admitted patients. Methods This was a retrospective cohort study conducted on patients admitted to our center with the following inclusions: age older than 18 years, positive/“pending confirm” value for methamphetamine on urine drug screen, and/or an International Classification of Diseases, Tenth Revision, code related to stimulant use disorder as an active issue. Urine drug screen data are reported as methamphetamine +/− and polysubstance (PS) +/−. Patient demographics, admission diagnosis, and hospital course were extracted. Statistical tests used included t tests and Mann-Whitney U tests. Results A total of 19,159 encounters were included, representing 12,057 unique patients. The median (interquartile range) age was 43 (33–54) years. Of all encounters, 35.3% were methamphetamine + and PS −, and 46.3% were methamphetamine + and PS +. Hospitalizations increased from 883 in 2012 to 2532 in 2021. The median (IQR) hospital stay was 48 (48–120) hours. Of all encounters, 16.8% inc
Source: journals.lww.comCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 1AI has mountains of data to study - 3 month(s) ago
Making sense of it all is the challenge. | Michel Spingler/AP Photo The U.S. health system has the data. AI could be the key to actually using it. That’s the future Dr. Atul Butte, chief data scientist at the University of California Health System, imagined in a recent interview with JAMA. How’s that? AI has the potential to make good on many promises that came with electronic health records, he said, putting the data collected to better use in research and, ultimately, patient care. “To me, it’s a
Source: www.politico.comCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 29
Sepsis remains a major cause of mortality and morbidity worldwide. Algorithms that assist with the early recognition of sepsis may improve outcomes, but relatively few studies have examined their impact on real-world patient outcomes. Our objective was to assess the impact of a deep-learning model (COMPOSER) for the early prediction of sepsis on patient outcomes. We completed a before-and-after…
Source: www.nature.comCategories: General Medicine News, Hem/OncsTweet-
Great to see all the hard work / collaborative efforts on this finally published @npjDigitalMed - and amazing to see this #ML model saving lives in #sepsis @UCSDHealth! https://t.co/vwhA9pJ8HN @ShamimNemati @ABoussina @AtulMalhotra13 @CALonghurst @acepccmsection @SepsisAlliance https://t.co/W8wH8kap4b
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Mashup Score: 3SCCM Southern California Chapter - Home Page - 6 month(s) ago
The Southern California Chapter’s mission is to provide its members with educational opportunities, professional resources and a chance for networking with other critical care professionals from the southern part of the state to ensure the delivery of the highest quality of care to our communities. What do you know about oncologic emergencies in the ICU? Are you prepared to sustain patient care during a disaster? Are you a member of the SCCM Southern California Chapter? Login below for full
Source: sccmsocal.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 0
‘I can’t imagine a 13-year-old being able to drive something that can go 25 to 30 miles an hour in the middle of a road. It just doesn’t seem safe.’
Source: FortuneCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 0“Building a model that can save as many lives as possible” - 11 month(s) ago
How ARA recipient Supreeth Shashikumar is using machine learning to help hospitals detect sepsis — before it’s too late.
Source: Amazon ScienceCategories: Hem/Oncs, Latest HeadlinesTweet
Huge thanks to @cbarbermd for this outstanding piece on how #ai can improve care of #sepsis and save lives! @SepsisAlliance @UCSDHealth @ShamimNemati @ABoussina @kdpsinghlab https://t.co/yFre08KmVO