Clinical Specialties & Imaging

0 tools

Tools that analyze patient data, images, or biomarkers within a specific medical specialty.

Rising in Clinical Specialties & Imaging

TrialMatchAI
TrialMatchAI
Drug Discovery & Research
TrialMatchAI is an AI-powered recommendation system that automates patient-to-trial matching by processing heterogeneous clinical data, including structured records and unstructured physician notes.
aisencia
aisencia GmbH
Clinical Decision Support & Reference
aisencia GmbH utilizes an AI system to detect and classify around 40 different skin disorders, supporting pathologists by reducing workload and speeding up diagnoses.
Endobits
Bio-Conscious Technologies Inc.
Clinical Decision Support & Reference
Endobits is an automated decision-support platform for diabetes and metabolic health that collects real-time data from various devices, EMRs, and EHRs to triage patients and prioritize those needing intervention.
AIxMed Computational Cytology
AIxMed
Lab & Diagnostics
AIxMed uses quantitative and qualitative data from its AI-powered computational cytology platform to enhance cytology insights, improve workflows, and transform cancer diagnosis and monitoring.

756 companies also tagged with Clinical Specialties & Imaging →

C the Signs
C the Signs Ltd.
Clinical Decision Support & Reference
C the Signs uses artificial intelligence (AI) to identify patients at risk of cancer at the earliest, most curable stage. The company aims to change the course of cancer, fueled by humanity, powered by science, and grounded in the belief that everyone, everywhere, deserves the chance to survive.
CAC (gated) Algorithm
BunkerHill Health
Cardiology AI
BunkerHill Health's FDA-cleared CAC (gated) Algorithm is an AI software that automatically detects and quantifies coronary artery calcium from non-contrast ECG-gated cardiac CT scans, aiding physicians in assessing coronary artery health.
CAC Software
Imbio
Cardiology AI
Imbio's Coronary Artery Calcification (CAC) software is a set of automated image post-processing algorithms designed to help radiologists and cardiologists determine the location and calculate the amount of calcification within the coronary arteries in patients who have undergone a non-contrast, chest computed tomography (CT).
CAD EYE
FUJIFILM Healthcare Americas Corporation
Gastroenterology AI
FUJIFILM CAD EYE is an FDA-cleared AI-powered endoscopic imaging system for real-time detection and characterization of colonic polyps and adenomas during colonoscopy procedures, enhancing lesion identification and supporting clinical decision-making.
CADDIE
Odin Medical Limited
Gastroenterology AI
CADDIE is Odin Vision's cutting-edge Artificial Intelligence system for endoscopy, supporting endoscopists to detect and characterize colorectal polyps in real-time during colonoscopy procedures.
CADDIE™ Computer-Aided Detection (CADe) Device
Odin Medical Ltd. (an Olympus Corporation company)
Clinical Decision Support & Reference
CADDIE™ is the first cloud-based AI technology to receive FDA clearance, designed to assist gastroenterologists in detecting suspected colorectal polyps during colonoscopy procedures. This AI tool, developed by Odin Medical Ltd., an Olympus Corporation company, supports real-time polyp detection and characterization, improves adenoma detection rates, and integrates seamlessly into existing clinical workflows.
Calibrate
Calibrate
Endocrinology & Metabolic AI
Calibrate is a metabolic health platform offering GLP-1 medication, coaching, and monitoring for sustainable weight loss.
Cancer Copilot
Color Health
Oncology AI
Color Health's Cancer Copilot, built with OpenAI, helps oncologists and clinicians identify and order workup needs for recently diagnosed patients, aiming to speed up time to cancer treatment. This AI tool is designed to expand cancer expertise, speed decisions, and improve care, reducing a two-hour clinical task to 10 minutes with over 95% validated accuracy.
CancerLinQ SmartLinQ (RxLinQ & TriaLinQ)
ConcertAI (an ASCO initiative)
Clinical Decision Support & Reference
CancerLinQ SmartLinQ (RxLinQ & TriaLinQ) is a precision oncology platform by ConcertAI that uses AI and real-world data to identify patients for new therapies and clinical trials, streamlining oncology workflows.
Canon Medical Systems AiCE (Advanced intelligent Clear-IQ Engine)
Canon Medical Systems
Radiology & Imaging AI
Canon Medical Systems' AiCE is a Deep Learning Reconstruction technology that uses AI to reduce noise and boost signal in CT, MRI, and PET images, leading to sharper, clearer images, reduced scan times, and lower doses.
Caption Guidance
Caption Health (now part of GE HealthCare)
Cardiology AI
Caption Guidance is the first FDA-cleared AI-guided software that empowers healthcare providers to acquire diagnostic-quality cardiac ultrasound images with real-time guidance and automated quality assessment, enhancing access to critical cardiac diagnostics.
Caption Interpretation Automated Ejection Fraction Software
Caption Health (acquired by GE HealthCare)
Cardiology AI
AI-powered software that automates the calculation of left ventricular ejection fraction from cardiac ultrasound images, making diagnostic-quality heart health assessments more accessible for early disease detection.
Cardiac CT Function Software Application
Circle Cardiovascular Imaging
Cardiology AI
Circle Cardiovascular Imaging's Cardiac CT Function Software Application uses AI/ML to analyze multi-phase, multi-slice cardiovascular CT angiography images, segmenting cardiac structures and quantifying key function metrics like ejection fraction and volumes. It is part of the cvi42 platform, enhancing diagnostic workflows and patient care.
Cardiac Guidance
Caption Health
Cardiology AI
Caption Health's Cardiac Guidance is an FDA-cleared AI tool that empowers healthcare professionals to acquire and interpret diagnostic-quality cardiac ultrasound images at the point of care, democratizing access to critical cardiac assessments.
Cardio-TriTest
Cardio-Phoenix Inc.
Cardiology AI
Cardio-TriTest v6.5 by Cardio-Phoenix Inc. is an AI-powered 3-in-1 diagnostic device combining ECG, PCG, and MCG to synchronize and visually correlate heart bio-signals for earlier and more comprehensive cardiovascular disease detection in primary care.
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