Summary: DermaSensor is an FDA-cleared, handheld device designed to help clinicians assess the risk of skin cancer in suspicious skin lesions. It uses a combination of optical spectroscopy and artificial intelligence to analyze lesions and provide immediate risk assessment results. This tool aims to enhance clinical confidence, support timely referrals, and improve patient outcomes by offering an objective, non-invasive method for skin cancer evaluation.

Summary: DoseMeRx is a precision dosing software that uses Bayesian dosing algorithms to help healthcare professionals optimize drug dosing. It is designed to integrate with existing hospital systems, offering a range of drug models across various therapeutic areas. The platform aims to improve patient outcomes by providing more accurate dosing recommendations, reducing the risk of adverse drug events, and ensuring effective drug levels are maintained.

Summary: Triage utilizes artificial intelligence to analyze photos of skin problems, providing users with an instant differential diagnosis of potential skin conditions. Created by a team of doctors and scientists, this tool aims to simplify the process of understanding skin issues by offering a quick and accurate analysis. It integrates privacy and user-friendliness, making dermatological advice more accessible.

Summary: DermEngine is an advanced dermatology platform that leverages artificial intelligence to provide imaging, documentation, and analytical tools for skin conditions, with a focus on skin cancer. It offers secure, cross-platform access to manage workflows efficiently, integrating features such as total body photography, teledermatology, and advanced dermoscopy. The platform is designed to streamline the diagnostic process, enhance patient engagement, and support telemedicine initiatives.

Summary: CADDIE is a cloud-based artificial intelligence tool designed to support gastroenterologists during colonoscopy procedures. It integrates seamlessly into clinical workflows, offering features like polyp detection and characterization to assist in real-time decision-making. This technology aims to improve patient outcomes by providing a higher level of diagnostic accuracy and efficiency.

Summary: MAGENTIQ-COLO™ leverages artificial intelligence and machine learning to assist gastroenterologists in detecting polyps during colonoscopies, aiming to increase adenoma detection rates and reduce the miss rate of sessile serrated adenomas. With over 65 million frames processed and validated by a comprehensive study, the tool integrates into gastroenterology clinics to support clinical decision-making and improve the quality of colonoscopy procedures.

Summary: Eko AI leverages FDA-cleared artificial intelligence to augment the capabilities of digital stethoscopes, enabling clinicians to detect heart and lung diseases more accurately. It offers enhanced audio quality, active noise cancellation, real-time visualizations of heart sounds and ECG tracings, and automatic record-keeping for patient exams. This technology aims to improve patient care by supporting early and precise disease detection.

Summary: Pathway AI is an advanced tool that provides medical professionals with instant access to a vast database of medical knowledge and decision-making support. It offers features like medical calculators, comparison tables, and note drafting to facilitate quicker, more informed clinical decisions. Trusted by over 10,000 care centers, it aims to improve patient care by making comprehensive medical information readily accessible.

Summary: The BetterCare Platform by EvidenceCare is designed to enhance clinical workflows, improve hospital margins, and elevate care quality both within and outside the EHR environment. It offers a suite of tools, including AdmissionCare, CareGauge, CareInsights, and CareIntelligence, aimed at providing real-time bed status guidance, care utilization data, clinical variation feedback, and intelligent analytics. These tools collectively work towards delivering significant ROI for health systems by optimizing clinical decisions and financial performance.

Summary: Isabel Healthcare offers a set of tools designed to assist healthcare professionals and institutions in diagnosis, triage, and clinical education. Utilizing machine learning, Isabel transforms patient signs and symptoms into a list of possible diseases or triage advice, facilitating quicker and more accurate medical decision-making. These tools, which include the Isabel DDx Companion, Isabel Self-Triage, and Isabel Clinical Educator, are validated and aim to complement clinicians' diagnostic skills, expedite patient care, and enhance clinical reasoning skills among learners.

Summary: DovaVision offers an AI-driven solution for assessing disease severity in Ulcerative Colitis (UC) through endoscopic analysis. This tool leverages deep data analysis to provide clinicians and researchers with actionable insights, aiming to improve the accuracy of UC severity assessments. Currently available for research and clinical trials, DovaVision integrates into clinical workflows to support informed decision-making.

Summary: QyScore® is an AI-powered neuroimaging software platform designed to assist healthcare professionals in the diagnosis and monitoring of central nervous system (CNS) diseases. It automates the process of labeling, visualizing, and quantifying brain structures and lesions from MR images, offering an objective layer of precision to clinical care decisions. The tool is FDA-cleared and CE-marked, supporting its use in clinical settings for a more accurate and reliable diagnosis of CNS disorders.

Summary: Extubation Advisor is a bedside point-of-care clinical decision support tool that aids healthcare professionals in making informed decisions regarding patient extubation in the ICU and emergency departments. By transforming routine bedside monitoring data into actionable information, it aims to materially improve patient care and outcomes during critical post-operative recovery phases.

Summary: AgileMD provides a suite of clinical decision support tools designed to enhance patient care and streamline clinical workflows. The platform includes eCART, an FDA-cleared tool for early warning of clinical deterioration, and Clinical Pathways, which offers highly-integrated and adaptable guidance for implementing the latest medical evidence and facility protocols directly into clinical workflows. These tools aim to improve patient outcomes, reduce clinical burden, and minimize clinical variation.

Summary: ACG-Anesthesia (AIMS) is designed to enhance anesthesia workflows by collecting data from medical devices and integrating with Health Information Technology (HIT) systems. Utilizing cloud and mobile technologies, it supports clinical workflows, ensuring that the right clinicians are informed at the right time according to patient care protocols. This tool aims to improve clinical outcomes and resource management in high-acuity care areas.

Summary: NeoPredics offers predictive analytics tools designed to improve maternal and neonatal health outcomes by identifying potential health risks early. Their technology supports healthcare providers in making informed, proactive decisions to enhance patient safety, reduce healthcare costs, and improve the quality of care for women and children. The tools include solutions for predicting conditions like preeclampsia and advanced bilirubin levels in newborns.

Summary: TriageGO utilizes machine learning algorithms to provide acuity-level recommendations, aiming to improve patient throughput in emergency departments (EDs). By analyzing risk of various clinical outcomes, it assists nurses in making data-driven decisions, potentially reducing time to ICU or OR and overall hospitalization time.

Summary: The Etiometry Platform aggregates and visualizes patient data from various sources, including monitoring systems, peripheral devices, and EHRs, to offer a comprehensive view of patient status. It utilizes risk analytics to identify common pathways leading to poor outcomes and supports the automation of clinical pathways based on hospital guidelines. This aids clinicians in making timely decisions, potentially improving outcomes, reducing costs, and easing the burden on care teams.

Summary: LumineticsCore® is a groundbreaking AI diagnostic tool specifically designed for the detection of diabetic retinopathy directly at the point-of-care, enabling immediate results without the need for a physician's evaluation. This tool integrates seamlessly into clinical workflows, offering a rapid diagnosis within 30 seconds of image submission, thereby facilitating early detection and intervention. Its FDA clearance underscores its reliability and effectiveness in improving patient outcomes by closing care gaps in diabetes management.

Summary: Caption Care leverages AI technology to enable a broader range of healthcare professionals to perform echocardiograms for early detection of heart disease. The service identifies eligible patients, performs scans in various settings, and generates actionable clinical reports. This approach aims to improve patient outcomes through early detection and management of heart disease, making cardiac care more accessible and cost-effective.