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Where are the obstacles in financing projects on the future topic of #ClinicalAI support?

That's what we asked the experts from the Clinical Decision Support Network (#CDSN).

Our interpretation: Funding generally tends to be divided between academic research and business-driven funding. That presents a challenge for #CDS researchers — because their field often lies right in between!

#CDSS #MedicalAI #AcademicFunding

Results of a small survey (n=30) with clinical decision support experts out of the Clinical Decision Support Network (CDSN). The main indentified obstacles show that there are too few calls, too few information about funding, and a unclear categorization between research and infrastructure.

AI-powered clinical operations platform reducing redundant tasks through smart EHR integration and nurse workflow automation for mid-sized European hospitals.ClinicFlow AI addresses the €12.6B annual European hospital productivity gap through specialized clinical automation. ❤️ #ClinicalAI #HealthTech #InvestmentOpportunity #ProductIdeas #RedRobotIdeas #redrobot

https://redrobot.online/2025/05/clinicflow-ai-revolutionizing-hospital-workflow-efficiency-with-medical-grade-ai/

Study Finds AI Diagnosis Accuracy Nears Non-Specialist Docs

#AI #AIDiagnosis #MedicalAI #HealthcareAI #AIvsDoctor #GenAI #DigitalHealth #OsakaUni #ClinicalAI #GPT4 #LLMs #HealthTech #MedicalResearch #AIethics

https://winbuzzer.com/2025/04/20/study-finds-ai-diagnosis-accuracy-nears-non-specialist-docs-xcxwbn/

https://www.nature.com/articles/s41591-024-03328-5

"Our experiments revealed critical insights into the limitations of current LLMs in terms of clinical conversational reasoning, history-taking and diagnostic accuracy. These limitations also persisted when analyzing multimodal conversational and visual assessment capabilities of GPT-4V."

#AI #LLM #Healthcare #ClinicalAI

We look forward to our next publications:

- #OpenSource #CDSS #AMPEL

- Dataset for sepsis detection in emergency rooms #OpenData

- CDS models for interpreting procalcitonin, detecting AKI under vancomycin treatment, and identifying hypokalemia

Let’s continue the path to open-source #ClinicalAI together! For more information and contact with our team, visit https://www.ampel-cdss.com !

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The AMPEL-CDSS is a digital infrastructure that enables clinical AI applications in routine healthcare. It increases patient safety by detecting critical situations in real-time.

The AMPEL-CDSS monitors the entire clinic and alerts as needed via email, phone, or the digital workplace on the ward. An example is the detection of the uncommon refeeding syndrome: More than half of all cases detected by AMPEL go unnoticed without the Clinical Decision Support System.

From 2024 onward, the AMPEL project will be expanded as an open-source initiative, led by Leipzig University Hospital. The focus is on creating a nonprofit AI infrastructure for healthcare with the highest standards of transparency, adaptability, and interoperability. As the leading CDSS in Germany in terms of scope and evidence, AMPEL aims to set future standards and accelerate the research of digital assistants in hospitals.

There is a wealth of academic AI models with life-saving potential. However, in practice, they do not find their way into real patient scenarios. Therefore, as the first German clinic, Leipzig University Hospital operates a clinic-wide CDSS for randomized controlled AI studies in routine healthcare. Once the study phase is successfully completed, AI applications become instantly accessible to all patients with a single click. Are you one of our patients? Then you can already benefit from increased patient safety during your hospital stay today!

When we started our initiative this year to launch an #OpenSource #ClinicalAI, we expected it to start slowly. Then events quickly accelerated. What a fantastic start!

Our highlights from the first 10 months of Open Source #AMPEL:

- HIMSS'24 in Rome: Together with pioneer Bart de Witte, we discuss open source in European healthcare

- @Mer__edith (CEO of Signal) promotes AMPEL during the award ceremony for the Future Prize of the Helmut Schmidt Foundation

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Clinician-scientist Dr. Gregory P. Veldhuizen, MD PhD, conducted cutting-edge medical research during a two-month exchange at Pearson Lab, University of Chicago. The collaboration with Kather Lab of SECAI focused on head and neck cancer treatment, combining expertise in Clinical AI. Thanks to the Else Kröner Fresenius Center for Digital Health for administrative support.

#PearsonLab #KatherLab #DigitalHealth #ClinicalAI

#ClinicalAI

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