Rapid interpretation of brain MRI scans and automatic emergency flags hold relevance for psychotherapists, social workers, and other mental health professionals by supporting assessments where neurobiological factors influence mood, cognition, or behavior.

With training on hundreds of thousands of real-world scans and patient histories and an accuracy reportedly up to 97.5%, the tool demonstrates potential to inform clinical decisions and referrals in fast-paced care environments.

Article Title: AI reads brain MRIs in seconds and flags emergencies

Link to Science Daily Mind-Brain News: https://ift dot tt/Q5ybLa3

#BrainMRIs
#AIinHealthcare
#Neuroimaging
#MentalHealth
#ClinicalDecisionSupport

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Clinical Decision Support

Unlock value by integrating Clinical Decision Support system to enhance healthcare decision-making by providing clinicians, staff, and even patients with timely, data-driven insights.

https://www.cabotsolutions.com/clinical-decision-support

#ClinicalDecisionSupport #CDS #HealthcareIT #DigitalHealth #HealthTech #ClinicalWorkflow #PatientSafety #CareQuality #EvidenceBasedCare #Interoperability #EHRIntegration #PredictiveAnalytics

Advanced Clinical Decision Support Services

Enhance patient care with Cabot Solutions' cutting-edge Clinical Decision Support systems. Our AI-driven tools provide real-time insights, streamlining clinical workflows and improving decision-making efficiency.

Conversational AI in Medicine: Redefining Diagnostics with AMIE

ScienceOpen
AI-Powered Dosium Touchdose Cuts Pediatric Prescribing Errors by 83% at West Middlesex Hospital

West Middlesex Hospital reports 83% reduction in pediatric prescribing errors using Dosium Touchdose AI system since May 2023. The tool integrates with EHRs and

Le Red Robot

What are the biggest challenges in the field of #ClinicalDecisionSupport?

In our current conceptualisation of the Clinical Decision Support Network (CDSN), we have asked ourselves precisely this question. What's the sticking point in the scientific community?

The results are clear: meeting regulatory requirements and working together in multi-centre collaborations.

Sounds familiar? Let's get in touch to solve these problems together in the #CDSN!

#CDS #CDSS #MedicalAI #MDR #IVDR

Adrian Lindenmeyer at CARS2024 (Computer Assisted Radiology and Surgery) in Barcelona
talking about "Spectral Normalized Neural Gaussian Process as a viable candidate for trustworthy AI in clinical decision support systems".

#ICCAS
#NFDI4DS
#NFDIrocks
#Barcelona
#CARS2024
#ComputerAssistedRadiology
#ComputerAssistedSurgery
#ClinicalDecisionSupportSystems
#ClinicalDecisionSupport
#NeuralGaussianProcess
#AI
#trustworthy

Daniel Schneider at CARS2024 (Computer Assisted Radiology and Surgery) in Barcelona
talking about "Unfeasibility of common single function deep learning methods for clinical decision support in the human-maschine collaborative setting"

#ICCAS
#NFDI4DS
#NFDIrocks
#Barcelona
#CARS2024
#ComputerAssistedRadiology
#ComputerAssistedSurgery
#ClinicalDecisionSupportSystems
#ClinicalDecisionSupport

#DeepLearning
#HumanMachine
#AI

Interesting #deimplementation study seeking to stop the #LowValue use of #FOBT in the emergency department. Via a multistep process including #ClinicalDecisionSupport and education, the researchers achieved their goals. #HumanCenteredDesign https://scholarlycommons.gbmc.org/jchimp/vol14/iss1/3/
De-implementation of Fecal Occult Blood Testing in the Emergency Department and Hospital Units: A Quality Improvement Project

Background: Fecal occult blood tests (FOBT) are inappropriately used in patients with melena, hematochezia, coffee ground emesis, iron deficiency anemia, and diarrhea. The use of FOBT for reasons other than screening for colorectal cancer is considered low-value and unnecessary. Methods: Quality Improvement Project that utilized education, Best Practice Advisory (BPA) and modification of order sets in the electronic health record (EHR). The interventions were done in a sequential order based on the Plan-Do-Study-Act (PDSA) method. An annotated run chart was used to analyze the collected data. Results: Education and Best Practice Advisory within the EHR led to significant reduction in the use of FOBT in the ED. The interventions eventually led to a consensus and removal of FOBT from the order set of the EHR for patients in the ED and hospital units. Conclusions: The use of electronic BPA, education and modification of order sets in the EHR can be effective at de-implementing unnecessary tests and procedures like FOBT in the ED and hospital units.

GBMC Healthcare Scholarly Commons
Are you passionate about developing solutions that enable better healthcare through the power of interoperability?
Do you want to join a talented team in its journey in revolutionizing patient care?
If you answered "yeah, that's me!" to both of these questions and you live or are willing to relocate to Lisbon, Portugal, don't miss this opportunity!
Apply today here: https://uphill.bamboohr.com/careers/49
#hiring #healthcare #clinicaldecisionsupport #hl7 #fhir #interoperability #softwaredeveloperjobs
Integration Engineer

UpHill is the place where health professionals can find best practices to decide and train.We're backed and trusted by top-tier investors and leading clients (e.g. Luz Saúde, Caixa Capital, Bynd, Maze, Brighteye Ventures, Novartis, Pfizer, etc). Today we're looking for a Integration Engineer to join our

UpHill Health

Clinical decision support potential seen in latest ChatGPT update.

Hashtags: #ChatGPTPotential #ClinicalDecisionSupport #HealthcareTechnology Summery: OpenAI's ChatGPT, specifically the GPT-3.5 and GPT-4 versions, have the potential to be used as clinical support tools for triaging patients for imaging services, according to a paper in the Journal of the American College of Radiology. These large language models (LLMs) demonstrated good performance in referring…

https://webappia.com/clinical-decision-support-potential-seen-in-latest-chatgpt-update/

Clinical decision support potential seen in latest ChatGPT update.

OpenAI's ChatGPT versions, GPT-3.5 and GPT-4, show potential as clinical support tools for triaging patients in radiology. The large language models were able to refer patients for imaging exams based on clinical needs and performed well compared to ACR Appropriateness Criteria. Integration of these tools into clinical workflows could greatly improve efficiency. GPT-4 outperformed GPT-3.5 in breast cancer prompts. The study suggests that ChatGPT has promise for radiologic decision-making and accuracy could be improved with hybrid prompts. For more details, refer to the study abstract.

Webappia