Best Healthcare AI Software of 2025 - Page 6

Altris AI is an innovative clinical decision support system powered by artificial intelligence and hosted in the cloud, aimed at helping eye care professionals with the interpretation of OCT scans and clinical decision-making. This platform streamlines the identification of pathological OCT scans while being capable of recognizing over 70 different retina pathologies and biomarkers, some of which are uncommon. Among its features are the ability to assess severity, analyze retina layer thickness, segment layers, detect pathologies, and perform both automatic and manual measurements. Altris AI seamlessly works with all OCT devices and accommodates various formats such as DICOM, JPEG, and PNG. The system holds FDA clearance, CE certification, and adheres to GDPR and HIPAA regulations, ensuring robust data security and patient confidentiality. By incorporating Altris AI into their workflow, eye care practitioners can enhance patient triage, improve diagnostic precision, and more effectively track the progression of diseases, ultimately leading to better patient outcomes. Additionally, this advanced technology empowers eye care professionals to make more informed decisions, fostering an environment of improved patient care and treatment strategies.

See-Mode Technologies is a MedTech firm focused on utilizing AI to enhance ultrasound reporting, thereby boosting both diagnostic accuracy and operational efficiency. Their innovative platform swiftly analyzes ultrasound images of the thyroid and breast, resulting in rapid and precise radiology reports. By identifying, measuring, and characterizing nodules, See-Mode produces a comprehensive TI-RADS sonographer worksheet along with initial impressions for radiologists. In the realm of breast imaging, the software not only detects lesions but also automates the BI-RADS reporting process, offering detailed insights into lesion characteristics and levels of suspicion. This advanced technology minimizes inter-operator variability and reduces the likelihood of reporting errors, ultimately strengthening diagnostic confidence and ensuring consistency. By streamlining the reporting process, See-Mode facilitates more informed clinical decisions, which can lead to better patient outcomes.

Fovia Ai's F.A.S.T. aiCockpit serves as an AI viewer that enhances navigation, visualization, and interaction with AI-generated results from various vendors and algorithms through a unified user experience that minimizes the number of clicks needed. This platform facilitates the visualization and interaction of all algorithm outcomes within a single, user-friendly interface, significantly improving the workflow for radiologists and clinical professionals. By providing physician-validated insights to AI orchestrators, PACS, and reporting systems, it adheres to the most up-to-date interoperability standards. The system is compatible with multiple AI formats, such as DICOM Structured Reports, DICOM Key Images, DICOM GSPS, and DICOM segmentation objects. Furthermore, F.A.S.T. aiCockpit boasts a cloud-ready architecture, enabling access to AI-assisted radiology results from anywhere at any time via any web-enabled browser. With just one straightforward integration, users can seamlessly complete their AI capabilities without the need to switch between various viewers, thus streamlining their overall workflow even further. This innovative approach not only enhances efficiency but also empowers healthcare professionals to make more informed decisions quickly.

HeartFlow offers a groundbreaking, non-invasive cardiac test that delivers detailed visualizations of individual coronary arteries, allowing doctors to develop more tailored treatment strategies for their patients. The process begins when a patient has a standard coronary computed tomography scan performed at a medical facility. Following this scan, the CT images are securely sent to our cloud-based system. Utilizing cutting-edge algorithms powered by artificial intelligence, we create a customized digital representation of the patient's coronary arteries. Our skilled analysts then review this model, making necessary adjustments to ensure accuracy. After finalizing the patient-specific model, the HeartFlow pathway employs physiological principles and computational fluid dynamics to analyze blood flow and compute FFRCT values throughout the model. We adhere to strict and well-established protocols throughout this entire process, ensuring uniform processing for every individual patient, which ultimately enhances the quality of care provided. This innovative approach not only improves diagnostic precision but also empowers healthcare providers to make informed decisions for optimal patient outcomes.

Founded in 2016, Infervision stands at the forefront of AI-driven medical technology, dedicated to enhancing multidisciplinary healthcare services and operations through innovative artificial intelligence solutions. Their advanced AI offerings are designed to assist healthcare professionals across a spectrum of tasks, including disease screening, diagnosis, intervention, treatment, patient management, and medical research. Among their array of solutions, InferRead CT Lung specializes in detecting lung nodules from chest CT scans, while InferRead DR Chest focuses on identifying chest abnormalities via X-ray imaging. Moreover, InferRead CT Coronary is tailored for recognizing coronary artery stenosis during coronary CT angiography, and InferRead CT Stroke is adept at triaging hemorrhages from brain CT scans. The company also provides InferRead CT Bone for spotting chest fractures in CT images and InferRead CT Pneumonia for diagnosing and managing pneumonia cases. Beyond these, their offerings extend to InferOperate, which facilitates 3D reconstruction for thoracic, liver, and urological surgical procedures, and InferCare, a tool designed for effective patient management and image follow-up. Additionally, InferScholar acts as an AI-enhanced resource for medical research, further solidifying Infervision's commitment to transforming healthcare through AI technology. This comprehensive suite of solutions positions Infervision as a pivotal player in the evolution of medical practices.

Qure.ai's qLC-Suite is a cutting-edge AI-driven tool aimed at improving the early identification and management of lung nodules, which is crucial for prompt lung cancer intervention. This solution delivers accurate measurements, thorough characterization, and 3D imaging of lung nodules, ensuring that opportunities for early treatment are not overlooked. It is capable of supporting both incidental and targeted screenings by efficiently identifying nodules and calculating their volume with just one click. Moreover, the system monitors volumetric changes over time, providing valuable insights into nodule development. The qLC-Suite is designed to integrate smoothly into current workflows, offering quick analysis and reporting that assist healthcare professionals in their decision-making processes. In addition to its analytical capabilities, it serves as a comprehensive platform for managing lung nodules, facilitating care coordination through intelligent prompts, providing hardware-agnostic image viewing for AI-enhanced chest X-rays and CT scans, enabling seamless sharing of scans across departments, and allowing for tailored notifications for cases of concern. Overall, qLC-Suite represents a significant advancement in lung cancer care, promoting timely interventions that can ultimately save lives.

Us2.ai is revolutionizing the battle against heart disease by utilizing AI-driven ultrasound software that ensures heart health can be accessible to everyone. This innovative platform provides 45 automated echo parameters, such as strain analysis, and enables real-time interpretation of 2D and Doppler images. It seamlessly integrates with any ultrasound machine, producing zero-click, comprehensive reports that maintain high accuracy and can be easily compared with expert evaluations. The AI echo copilot from Us2.ai autonomously analyzes all heart chambers through both 2D and Doppler perspectives, incorporating global reference guidelines into detailed, real-time reports. Recently, the software obtained FDA clearance for Us2.v2, which also boasts 45 automated echo parameters, including strain analysis, representing a remarkable advancement in healthcare technology. Ultimately, Us2.ai aims to democratize echocardiography, ensuring that ultrasound technology is available to individuals regardless of their location or circumstances, thereby promoting better heart health for all. This commitment to accessibility and innovation positions Us2.ai at the forefront of the medical technology landscape.

Ontosight Influence stands out as a robust AI-powered solution that assists brands, marketers, and social media influencers in evaluating and boosting their marketing initiatives. It employs sophisticated analytics to monitor and assess the effectiveness of influencers and the overall impact of campaigns. By delivering immediate insights on audience interaction, conversion metrics, and return on investment, the platform empowers businesses to make strategic choices and refine their influencer marketing efforts. It includes a user-friendly dashboard, tailored reporting options, and practical insights that enhance the decision-making workflow. Additionally, Ontosight Influence utilizes machine learning to forecast trends, pinpoint influential figures, and suggest strategic collaborations. With tools designed for content enhancement, influencer identification, and audience segmentation, it proves to be a vital asset for conducting data-driven influencer marketing campaigns, ultimately driving better results for its users. This comprehensive suite of features ensures that brands can stay ahead in the competitive landscape of digital marketing.

AIMedInfo is an advanced AI-powered global medical information system that provides a fully integrated solution aimed at improving the productivity and engagement of medical affairs teams. This innovative cloud-based platform leverages sophisticated artificial intelligence and machine learning techniques to efficiently and securely process medical information, granting immediate access to vital data and opportunities for ongoing learning. With its multi-channel capabilities, AIMedInfo effectively manages medical information requests through AI-driven chatbots and live chat support, catering to the inquiries of healthcare professionals and patients around the clock. The platform integrates information from standard response documents, prescribing guidelines, and various other sources, ensuring that it delivers thorough and compliant medical information assistance. Furthermore, AIMedInfo collects valuable insights and analytics regarding the behaviors of both patients and healthcare professionals, such as identifying potential adverse events, conducting sentiment analysis, and tracking interaction frequency. By doing so, AIMedInfo not only enhances the quality of medical information provided but also contributes to a better understanding of user needs in the healthcare landscape.

MedAffairs AI is a cloud-based machine learning tool empowered by artificial intelligence, specifically crafted to optimize the Medical Affairs sector within the pharmaceutical industry. Leveraging an extensive repository of medical affairs information, it delivers quick and precise answers to inquiries, thereby minimizing the time users spend sifting through various drives and folders. This innovative platform facilitates the smooth incorporation of internal materials such as clinical trials, standard operating procedures, and articles, allowing users to easily obtain answers by querying their uploaded documents. Each answer provided is linked to the relevant source document, ensuring straightforward referencing. Furthermore, MedAffairs AI enables searches of both internal and external data, offering thorough insights into medical knowledge, regulatory compliance, engagement with key opinion leaders, as well as the formulation and planning of medical strategies. In this way, the tool not only saves time but also enhances the efficiency of the Medical Affairs team in their decision-making processes.

ZAIDYN is a cutting-edge, cloud-based platform crafted by ZS aimed at transforming the life sciences sector. This innovative tool combines sophisticated analytics, machine learning capabilities, and smart workflows to help organizations streamline their processes in research and development, commercialization, and patient interaction. Designed with a modular approach, ZAIDYN offers scalable solutions that can be customized to meet diverse requirements, enabling smooth integration with current IT systems thanks to its open architecture. By delivering cohesive, high-quality data and insights, the platform fosters enhanced collaboration across different functions, which minimizes operational silos and encourages more informed decision-making. Prioritizing security and compliance, ZAIDYN upholds data privacy and meets regulatory standards, establishing itself as a trustworthy option for life sciences companies striving to innovate and elevate health outcomes. Ultimately, its comprehensive features provide organizations with the tools they need to navigate the complexities of the industry effectively.

Max.AI, a low-code/no-code platform created by ZS, empowers users to develop autonomous AI agents on a large scale. Its cloud-agnostic design provides enterprise-level development tools and a variety of pre-built use cases, significantly improving responsiveness to varying business requirements. By merging fine-tuned large language models with traditional machine learning techniques and proprietary datasets, Max.AI allows for the swift creation and implementation of specialized generative AI applications. Accessible through the AWS and Azure marketplaces, Max.AI can seamlessly integrate into client environments, promoting both flexibility and scalability. Key technological advancements include support for hybrid cloud environments, a model-agnostic architecture, and a dynamic, software-defined analytics framework, all designed to expedite the development and deployment of AI solutions across numerous sectors. This platform ultimately aims to simplify the process of harnessing AI capabilities for organizations of all sizes.

Tempus AI, a prominent health technology firm based in Chicago, Illinois, is dedicated to transforming patient care through advanced artificial intelligence and precision medicine. By utilizing data and AI, the company strives to create personalized treatment plans across a range of medical specialties, such as oncology, cardiology, radiology, and mental health. Their all-encompassing platform combines genomic sequencing, clinical data, and AI-powered analytics, equipping healthcare providers and researchers with actionable insights. Tempus offers a holistic understanding of patients via various testing methods, including tissue and liquid biopsies, DNA and RNA sequencing, somatic and germline tests, as well as tumor-normal matched profiling and minimal residual disease monitoring options. Additionally, they provide a swift and dependable platform for ordering tests, gaining patient insights, and seamlessly integrating AI-driven technologies into practice. Furthermore, Tempus features an innovative generative AI-enabled clinical assistant that places patient insights readily at your fingertips, enhancing the overall efficiency of healthcare delivery. This commitment to leveraging cutting-edge technology exemplifies Tempus AI's mission to improve health outcomes and advance medical research.

Microsoft's Dragon Copilot represents a sophisticated AI-powered tool aimed at optimizing clinical processes through the automation of documentation, thereby alleviating administrative pressures. By seamlessly integrating with the Microsoft Cloud for Healthcare, it assists healthcare professionals in efficiently generating precise documentation based on interactions between patients and clinicians. This innovative solution accommodates various languages and retains functionality without internet access, enabling the collection of patient information and its transformation into notes tailored to specific medical specialties. Additionally, Dragon Copilot harnesses AI technology to propose enhancements for clinical interactions, automatically completes orders, and enables clinicians to search through notes and retrieve medical data, ultimately enhancing both operational efficiency and the quality of patient care. With its ability to adapt to the needs of healthcare providers, Dragon Copilot is poised to significantly revolutionize the way clinical documentation is handled.

Microsoft Cloud for Healthcare serves as an all-encompassing platform aimed at revolutionizing the healthcare sector by utilizing AI-driven solutions, integrating data, and ensuring secure, interconnected experiences. This platform assists healthcare providers, payors, and life sciences entities in enhancing patient care, optimizing operations, and bolstering research efforts. It provides resources for protecting confidential information, streamlining clinical processes, and fostering better patient engagement. By harnessing actionable insights derived from integrated clinical and operational data, Microsoft Cloud for Healthcare empowers organizations in the healthcare field to achieve favorable results, boost efficiency, and lower expenses. Ultimately, this innovative platform is pivotal in shaping the future of healthcare delivery.

Praxi is an innovative data classification platform that leverages artificial intelligence to convert unstructured data into meaningful and actionable insights specifically for highly regulated sectors like healthcare, finance, and defense. By providing pre-trained AI models, it streamlines the processes of data discovery, curation, and classification, significantly reducing the need for manual intervention and saving both time and resources. The platform effectively scans various data sources and silos, establishing a cohesive interface that clarifies data relationships while ensuring compliance with GDPR regulations and facilitating automated data curation. Offering real-time insights and improved data governance, Praxi seamlessly integrates with existing systems, empowering organizations to fully harness their data, enhance decision-making capabilities, and maintain regulatory compliance. Furthermore, its user-friendly design enables teams to focus on strategic initiatives while the platform manages the complexities of data management.

PYCAD is a business located in 2023 in United Arab Emirates that's known for a software product called PYCAD. PYCAD includes phone support and online support. PYCAD is SaaS software. PYCAD is a type of healthcare AI software. PYCAD includes training via documentation and in person sessions. Alternative software products to PYCAD are HeartFlow, RedBrick AI, and BeeKeeperAI.

Join AI is transforming the healthcare landscape with AI-powered tools designed to assist in radiology and endoscopy diagnostics. The platform offers AI-driven solutions for chest imaging, breast imaging, stroke detection, and gastrointestinal endoscopy, enabling clinicians to detect conditions like lung diseases, breast tumors, and gastrointestinal infections more efficiently. Join AI’s algorithms provide deeper insights, aiding in early diagnosis and faster decision-making, which are crucial for improving patient care and treatment outcomes. With seamless integration into existing workflows, the platform empowers healthcare professionals to make more confident decisions.

Polyfins Technology Inc is a startup based in Silicon Valley that leverages cutting-edge technologies, including Artificial Intelligence, to address challenges in Dermatology. By merging mobile accessibility with the capabilities of AI, the company aims to create user-friendly solutions for both patients and healthcare professionals. This initiative seeks to enhance the availability and precision of patient care in both affluent and less affluent nations, utilizing natural language processing to foster groundbreaking healthcare advancements in dermatology. Their AI-driven applications, Eczemaless and Tibot, empower users to obtain reliable skincare information from the comfort of their homes. EczemaLess specifically caters to individuals suffering from Eczema, offering a comprehensive solution that encompasses tracking the severity of their condition, managing potential triggers, and crafting tailored care routines. Users can identify the factors that may be exacerbating their eczema, assess the effectiveness of various treatments, and gain insights into trends related to triggers, eczema severity, and their personalized care strategies for optimal health management. This innovative approach not only addresses immediate concerns but also aims to foster long-term well-being for users.

XOresearch has developed an innovative Artificial Intelligence solution for the automatic annotation and analysis of electrocardiograms. This comprehensive tool serves three primary functions: it enhances clinical diagnosis productivity, facilitates remote patient monitoring, and offers readily available software for digital health devices and applications. CardioAI® stands out as a sophisticated productivity enhancer that speeds up the analysis of electrocardiograms, proving particularly beneficial in scenarios requiring continuous or extended cardiac monitoring. Its deployment significantly improves health surveillance capabilities, especially in remote, challenging, or hazardous environments. The system's ability to deliver accurate near real-time processing enables unparalleled medical assistance. Furthermore, CardioAI® can seamlessly integrate into electronic health record (EHR) systems or operate as part of mobile health devices. This commercially available software is versatile enough to be customized to meet various business needs. Additionally, CardioAI® guarantees precise and comprehensive annotation of stress, rest, and Holter electrocardiograms, adhering strictly to the HL7® aECG standard, which ensures consistency and reliability in data interpretation. Its adaptability and efficiency make it an invaluable asset in modern healthcare practices.

Arterys serves as a cutting-edge medical imaging AI platform that seamlessly integrates advanced AI clinical applications into your current PACS or EHR workflows, enhancing the efficiency of your existing processes. By focusing on improving the experience of physicians, increasing diagnostic accuracy, enhancing treatment outcomes, and boosting financial performance, we are making AI a tangible reality for healthcare professionals. Accessible from any certified device through the cloud, it guarantees rapid performance and easy deployment without the need for exchanging protected health information, all while ensuring complete security. Arterys connects effortlessly with your PACS, RIS, EMR, and dictation systems, making it an integral part of your workflow. With quick setup requiring minimal on-site infrastructure, it is available for commercial use in over 100 countries. Our innovative elastic cloud GPU architecture significantly enhances task performance, whether it involves rendering 3D visuals, processing large multi-dimensional datasets, or executing multiple AI applications simultaneously in real-time. Furthermore, features like pre-fetching and image caching contribute to quicker loading times and more efficient analysis. In doing so, Arterys not only streamlines operations but also aligns perfectly with the evolving demands of modern healthcare delivery.

Corti is of the opinion that technology enhances human capabilities, and it is a crucial duty to develop such innovations that allow the healthcare industry to achieve more with fewer resources. Audia was created to assist medical professionals in enhancing patient care and optimizing performance within healthcare organizations. By incorporating Audia into your healthcare framework, you can begin documenting your medical consultations and benefit from ongoing enhancements. Regardless of the video platform you currently use, Audia can seamlessly integrate with your existing systems to initiate the recording of medical consultations. Additionally, Audia is capable of leveraging written data by examining and enhancing any textual interactions, including chatbot integrations. Begin uploading your consultations to Audia now to gain valuable insights that can lead to improved triage processes, enhanced internal performance, and a deeper understanding of health trends, ultimately transforming how care is delivered. Embrace the power of technology in healthcare and witness the positive impact it can have on patient outcomes.

EVIDENS is an advanced AI platform that facilitates the discovery of digital cohorts, enhances research capabilities, promotes collaboration, and enables the sharing of insights across extensive hospital data sets. With the ability to swiftly annotate and convert your data into AI-compatible formats, users can efficiently filter populations by various clinical outcomes or demographic factors. The platform allows for limitless keyword filtering by training AI models to perform targeted searches. Furthermore, users can explore and establish criteria for cohort identification with the support of intelligent AI tools. Training AI models to automate the analysis process and categorize data into distinct groups can be done quickly and efficiently. The platform outputs AI-ready cohorts to facilitate the testing of clinical hypotheses in research studies. Users can effortlessly monitor the status and tasks related to all their projects and collaborators, while also being able to observe and engage with activities aligned with their research interests. Additionally, collaborative tools are provided to enable simultaneous efforts in creating, training, and validating AI models, fostering a productive research environment. Ultimately, EVIDENS streamlines the entire research process, making it more efficient and effective for all involved.

We combine clinical and experimental data through machine learning techniques to explore human disease biology and promote the development of precision medicine. Our innovative Contingent AI™ technology comprehends the intricate relationships present in the data, yielding advanced insights. To combat data bias, we refine our machine learning models based on decisions made during the pre-processing and feature engineering phases. We utilize zebrafish, cellular, and various phenotypic animal models to test and confirm in silico predictions through in vivo experiments, along with genetic modifications conducted both in vitro and in vivo to enhance translation. By employing active learning and computer vision on validated models that focus on cardiac, central nervous system, and rare disorders, we swiftly integrate new data into our machine learning frameworks, allowing for continuous improvement and adaptation in our methodologies. This iterative process not only enhances the accuracy of our predictions but also enables us to stay at the forefront of research in precision medicine.

Mantarray revolutionizes the early phases of preclinical drug testing by integrating functional data with advanced technologies. By enabling simultaneous analysis of 3D engineered muscle tissues that exhibit adult-like functional characteristics, Mantarray facilitates the identification, safety assessment, and effectiveness evaluation of new therapeutics. With an impressive tissue formation success rate exceeding 95%, the Mantarray Plate Kit ensures consistent and reproducible engineered tissues across 24 wells. This innovative platform offers a user-friendly, scalable, and adaptable solution that empowers researchers to analyze 3D tissues in vitro right within their labs. Early adopters can take advantage of this groundbreaking instrument. The Mantarray system employs a unique magnetic sensing method that accurately detects the contractions of engineered muscle tissues (EMTs), allowing users to assess the contractility of 24 tissues simultaneously and in real time, greatly enhancing throughput. Moreover, the accompanying software simplifies the process by eliminating the need for manual contractility calculations, thus streamlining the research workflow. Overall, Mantarray not only improves the efficiency of drug discovery but also enhances the reliability of data obtained during preclinical studies.