AISAP's AI Platform Reduces Cardiac Diagnosis Time and Improves Outcomes
AISAP’s inclusion in a WHO report showcases its vital contributions to cardiac diagnostics, illustrating how AI-guided tools can enhance patient care at the bedside within minutes.
Key Facts
- AISAP's AI platform reduced cardiac diagnosis time to under five minutes, enhancing patient care speed.
- 29% of patients had clinically relevant findings, indicating significant diagnostic impact of AI tools.
- 100% sensitivity in detecting left ventricular dysfunction highlights AISAP's competitive diagnostic edge.
- Over 30% treatment changes from AI scans suggest substantial cost savings and improved patient outcomes.
- WHO recognition positions AISAP as a leader, potentially attracting partnerships and funding opportunities.
Summary
Summary
AISAP partnered with Sheba Medical Center to implement an AI-enhanced point of care ultrasound (POCUS) system aimed at improving cardiac diagnostics. The deployment resulted in a significant reduction in diagnosis time to under five minutes and led to treatment changes in over 30% of cases.
Background
Sheba Medical Center, located in Israel, is one of the world's leading hospitals, known for its advanced medical services and research. Before deploying AISAP's AI platform, the hospital faced challenges in providing timely cardiac diagnostics, which often required specialized training and lengthy procedures.
Challenge
The specific problem was the lengthy time required for bedside cardiac diagnosis, which could take hours, delaying critical treatment decisions for patients in both the internal medicine and emergency departments.
Solution
AISAP implemented its FDA-cleared AI platform for POCUS within Sheba's internal medicine and emergency departments. Between July 2022 and December 2023, the system was used to evaluate 660 patients, allowing physicians without formal sonography training to perform AI-guided cardiac ultrasounds. The scans were completed in under five minutes, streamlining the diagnostic process.
Results
The deployment yielded notable outcomes: AI-enhanced POCUS identified clinically relevant cardiac findings in 193 patients (29%), including 147 previously undocumented diagnoses (22%). It prompted medication changes in 49 patients (7%) and interventional procedures in 9 patients (1.4%). In a subset of 117 patients, the AI system demonstrated 100% sensitivity and 96.9% specificity for detecting significant left ventricular dysfunction. Additionally, over 30% of cases led to treatment changes, early discharge, or care transitions.
Key Insights
The case study illustrates the potential of AI to enhance diagnostic accuracy and speed in healthcare settings. It highlights the importance of integrating technology that allows non-specialists to deliver expert-level care, ultimately improving patient outcomes and operational efficiency.
Customer Testimonial
"Being recognized by the World Health Organization validates what we've seen firsthand at Sheba: AI-guided POCUS can bring specialist-level cardiac diagnostics to any clinician, at any bedside, in minutes rather than hours." — Robert Klempfner, Chief Medical Officer & Co-Founder at AISAP.
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Technologies
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Key Concepts
Definitions
- AI
- Artificial Intelligence, a technology that simulates human intelligence processes by machines.
- POCUS
- Point of Care Ultrasound, a medical ultrasound performed at the bedside.
- FDA clearance
- Approval from the U.S. Food and Drug Administration for a medical device to be marketed and used.
- AI-enhanced FoCUS
- Focused ultrasound enhanced by artificial intelligence to improve diagnostic capabilities.
- sensitivity and specificity
- Measures of a test's accuracy; sensitivity refers to the ability to identify true positives, while specificity refers to identifying true negatives.
Use Cases
- →Rapid cardiac diagnostics
- →Treatment changes based on ultrasound findings
- →Early patient discharge
- →Care transitions
- →Routine clinical workflows in hospitals
- →Training clinicians in ultrasound technology
Frequently Asked Questions
What is AISAP?
AISAP is an FDA-cleared AI platform designed for point of care ultrasound, enabling rapid and accurate cardiac diagnostics.
How does AISAP improve patient care?
AISAP allows clinicians to perform cardiac ultrasounds in under five minutes, leading to quicker diagnosis and treatment decisions.
What are the results of the clinical study at Sheba Medical Center?
The study showed that AI-enhanced FoCUS identified clinically relevant cardiac findings in 29% of patients, leading to significant treatment changes in many cases.
What is the significance of the WHO report?
The WHO report highlights real-world applications of AI in healthcare, featuring AISAP as a case study to demonstrate its effectiveness in improving patient outcomes.
What other institutions are involved with AISAP?
AISAP collaborates with various academic medical centers and hospitals, including Stanford, Mayo Clinic, and Mass General Brigham, to enhance healthcare delivery.