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Top 6 Radiology and medical imaging startups in Israel
Oct 21, 2024 | By Jason Kwon | 15 |
1
Funding: $267.5M
AIdoc helps radiologists work through their case load faster, just in time to make a difference. We reworked deep learning algorithms to analyze imaging and clinical data more effectively, and can produce highly accurate scan anomaly detection. We combine the analyzed scans with patient data, streamlining the radiologists' workflow and freeing them to do what they do best.
AIdoc helps radiologists work through their case load faster, just in time to make a difference. We reworked deep learning algorithms to analyze imaging and clinical data more effectively, and can produce highly accurate scan anomaly detection. We combine the analyzed scans with patient data, streamlining the radiologists' workflow and freeing them to do what they do best.
2
Funding: $60.5M
Nucleai aims to Improve cancer diagnostics making it accurate, effective, accessible and efficient in order to treat patients better by using Machine Learning, Deep Learning, and Machine Vision technology.
Nucleai aims to Improve cancer diagnostics making it accurate, effective, accessible and efficient in order to treat patients better by using Machine Learning, Deep Learning, and Machine Vision technology.
3
Funding: $26.6M
DiA offers a cognitive image processing technology based on pattern recognition and machine learning algorithms in medical imaging area.
DiA offers a cognitive image processing technology based on pattern recognition and machine learning algorithms in medical imaging area.
4
Funding: $3m
PerSimiO develops Simfini, a superior CT-based prediction model to simulate the response of human bones to load. Based on intelligent machine learning, finite element analysis and computational biomechanics – with nearly two decades of research and experimentation – our validated technology generates bone quality and strength assessment with unmatched reliability.
PerSimiO develops Simfini, a superior CT-based prediction model to simulate the response of human bones to load. Based on intelligent machine learning, finite element analysis and computational biomechanics – with nearly two decades of research and experimentation – our validated technology generates bone quality and strength assessment with unmatched reliability.
5
DeePathology.ai develops state-of-the-art algorithms to help pathologists perform day-to-day tedious, yet important tasks and bring the power of AI to pathology.
6
Funding: $2M
Diagnocat AI analyzes dental 3D x-rays, recognizes anatomical areas and detects various pathologies of maxillo-facial area.
Diagnocat AI analyzes dental 3D x-rays, recognizes anatomical areas and detects various pathologies of maxillo-facial area.
