Wellness & Lifestyle

Nicolab accelerates stroke care with its AI-powered workflow and emergency platform, designed to give clinicians critical insights when seconds matter. The platform seamlessly links acute care teams across hospitals and regions, enabling real-time sharing of imaging, timelines, and decisions within a secure, cloud-based environment. Its intuitive mobile app, available for both Android and iPhone, offers clear patient timelines, instant access to clinical images, and secure messaging. StrokeViewer AI speeds up triage with accurate and fast decision-making, trusted by physicians and having assisted over 170,000 patients. Nicolab's solution is vendor-agnostic, integrating with CT scans from any manufacturer, and stores patient information securely in Google Cloud warehouses for a maximum of 30 days. The company provides 24/7 support via email, phone, and in-app channels.

Stratipath is an AI company dedicated to revolutionizing cancer treatment decisions and improving patient outcomes by assisting physicians in delivering optimal treatment to every patient. Stratipath’s pioneering solutions and AI-based precision diagnostic software platform transform tissue sample analysis, enabling breakthrough insights for enhanced and faster patient stratification across healthcare, clinical trials, and drug development. By expanding the reach of precision medicine, Stratipath aims to make this advanced healthcare approach accessible to a wider patient population. Founded as a spin-out of Karolinska Institutet in Stockholm, Sweden, Stratipath is built upon years of groundbreaking research and development. Stratipath Breast, their first-in-class AI solution, provides prognostic risk profiling of invasive early-stage breast cancer, offering a faster and more cost-effective alternative to gene expression tests.

Proscia offers the Concentriq platform, an enterprise digital pathology solution designed to accelerate research and diagnostic workflows. Rated #1 by customers in 2026 Best in KLAS, Concentriq provides purpose-built products like Concentriq LS for life sciences to fast-track biomarker discovery and clinical trials, and Concentriq AP for academic medical centers and labs to go fully digital. Concentriq AP-Dx is FDA-cleared for primary diagnosis, offering an intuitive experience for case interpretation and management. The platform also includes an AI Portfolio and Proscia Aperture, a precision medicine solution that turns data into insights at the moment of diagnosis, supporting drug development and real-world evidence generation. Proscia aims to improve diagnostic quality, increase efficiency, and accelerate precision medicine with its AI solutions.

Abilisense is an AI-powered platform designed to convert sound into actionable insights, primarily for health and safety monitoring. It leverages sound classification and a rule-based AI system to detect and predict events, such as early signs of deteriorating health or life-threatening situations. This technology allows IoT devices to remotely monitor environments, providing early intervention capabilities that can potentially save lives and reduce costs. The system focuses on identifying specific sound patterns that indicate potential issues, offering a proactive approach to safety and well-being.

AI Assistant for Doctors is a powerful AI assistant designed exclusively for licensed physicians and healthcare professionals. Built on GPT-4o and Vision API, this advanced medical app offers comprehensive tools for accessing authoritative medical information, analyzing medical imaging, and obtaining AI-powered insights across numerous medical specialties. It significantly enhances medical workflows and physician efficiency by providing Medical Knowledge Assistants for lab results, drug interactions, and clinical guidelines, and Medical Imaging AI Assistants for interpreting various scans. The app emphasizes that medical doctors must rely on their own clinical judgment and authoritative medical sources, serving as an assistant rather than a diagnostic or treatment tool. It prioritizes user privacy by not collecting or storing personal or patient data.

dianovi offers AI-driven solutions, dianoviQM and dianoviFS, to support hospitals in managing medical quality, case steering, and economic transparency. dianoviQM focuses on quality assurance in emergency departments, automating the review of physician and discharge letters against guidelines and SOPs, and identifying documentation and billing risks. dianoviFS provides decision support for patient admission, classifying cases into outpatient, Hybrid-DRG, or inpatient paths, and offering transparency on medical and economic consequences. The tools integrate directly into existing clinical workflows, aiming to secure treatment quality, ensure billing potential, and make resource planning predictable.

MedicalZooPytorch is a PyTorch-based deep learning framework designed for multi-modal 2D/3D medical image segmentation. It offers an open-source and reproducible environment for deep learning research, implementing state-of-the-art 3D deep neural networks. The library includes a variety of data loaders for common medical image datasets such as Iseg, MICCAI BraTs, and Mrbrains. Initially focused on 3D multi-modal brain MRI segmentation, it is continuously expanding to include more architectures and data loaders, including implementations for COVID-19 segmentation and classification. It supports features like 3D total volume visualization, Tensorboard integration, and offline sub-volume generation, making it a comprehensive tool for medical imaging researchers and developers.

Delty Health is an operating system for value-based care, offering AI copilots to streamline healthcare operations. It unifies claims, EHR, pharmacy, lab, and ADT data into a single canonical record per member. The platform features six role-specific AI copilots for risk adjustment, quality and Stars, pharmacy and Part D, provider network, care management, and an AI data analyst. Delty Health aims to replace 8 to 15 fragmented point vendors with a single integrated stack, providing real-time HCC capture, unified gap closure, and ADT-driven care management. It is HIPAA-compliant and SOC 2 Type II certified, integrating with major EMRs like Epic and Cerner.

MediCodio offers cutting-edge AI-powered medical coding solutions for healthcare providers, aiming to streamline processes, improve accuracy, and optimize revenue cycles. Its core AI platform autonomously predicts CPT, ICD-10, HCPCS codes, and modifiers from clinical notes with real-time compliance checks. The platform integrates with existing EHR and PM systems and provides analytics for tracking accuracy and productivity. Beyond the AI platform, MediCodio offers expert services including certified medical coders for staffing, outsourced coding, auditing services for compliance and risk checks, and Clinical Documentation Improvement (CDI) programs. It supports both facility and pro-fee coding across various specialties, ensuring HIPAA compliance and data security.

Lunit Oncology develops advanced medical AI software designed to transform cancer care through earlier detection and precision oncology. Their platform includes Lunit INSIGHT for cancer screening, offering AI-powered analysis for mammography (2D and 3D) and chest X-rays to improve detection rates and streamline workflows. For precision oncology, Lunit SCOPE provides AI-driven insights for tumor microenvironment analysis, IHC quantification, and genotype prediction, aiding in treatment decisions and drug development. The modular platform integrates seamlessly into existing clinical workflows, connecting multimodal data and interoperable solutions. Lunit's technology is built on diverse global datasets, ensuring scalability and driving precision care across various stages of cancer management, from screening to treatment and drug development.

UniverSeg is an official implementation of the "UniverSeg: Universal Medical Image Segmentation" paper, accepted at ICCV 2023. This tool addresses the challenge of medical image segmentation for scientists and clinical researchers who may lack machine learning expertise and computational resources. UniverSeg enables users to perform new segmentation tasks without the need to train or fine-tune a model, adapting a single global model at inference based on an input example set. It simplifies the process by removing the requirement for extensive ML experience and computational burden, making advanced medical image analysis more accessible.

Delty Health is an operating system for value-based care, offering AI copilots designed for quality teams, care managers, and provider network representatives. It unifies diverse healthcare data, including EHR, claims, pharmacy, and lab information, into a single canonical record per member. This platform replaces multiple fragmented point vendors with an integrated stack, featuring six role-specific AI copilots for risk adjustment, quality and Stars, pharmacy and Part D, provider network, care management, and an AI Data Analyst. Delty Health is HIPAA-compliant and SOC 2 Type II certified, ensuring high security standards for healthcare operations.

WellAlly-health is an intelligent healthcare assistant designed to streamline personal health management. Leveraging Claude AI technology and medical expertise, it enables users to record symptoms, manage medications, and track medical records through natural language interaction. The system features intelligent medical report image recognition, automatic biochemical test data extraction, and structured medical imaging data extraction. It also includes a Multi-Disciplinary Team (MDT) consultation system with 13 medical specialist intelligent analyses, drug interaction detection, and a five-level severity warning system. All data is stored locally, ensuring complete privacy, and operations are performed via Claude Code command-line tools, requiring no programming.

CareCo is an AI co-pilot platform designed to transform care teams by automating tedious administrative work, allowing healthcare professionals to focus on patient care. It brings all calls and messages into one place, handling documentation, follow-up tasks, and auto-messages. The platform aims to reduce burnout, increase efficiency by 28%, and improve patient outcomes. Key features include automatic documentation with citation tracking, personalized call plans with compliance scoring, and a full communication platform replacing multiple subscriptions. CareCo also provides intelligent conversation guides based on company policies and regulatory requirements, helps consolidate tech stacks, and offers proactive human support with quick response times. It is HIPAA compliant and built to scale for various practice sizes.

Trially AI is a HIPAA-compliant AI platform designed to revolutionize clinical trial patient recruitment. It safely reads unstructured clinical data to match, engage, and enroll participants faster, boasting approximately 95% accuracy. The platform helps multiply enrollment rates by 2-6X, reduce screen failures by 73%, and increase eligibility accuracy. Trially AI integrates with existing EHR, CTMS, and CRM systems, offering pre-built connectors. It is compliant with HIPAA, SOC 2, FDA Part 11, and ISO 27001, ensuring superior safety, security, and privacy protections for patient data. The tool benefits sponsors, CROs, research sites, and hospitals by improving enrollment, augmenting site feasibility, and saving time on prescreening.

Clinicom is a comprehensive mental health assessment and clinical reporting platform designed to standardize intake, assessment, and reporting for mental health professionals. Utilizing augmented intelligence and proprietary clinical algorithms, it evaluates over 80 DSM conditions through one adaptive assessment. The platform generates structured, clinician-ready reports that highlight risk signals, comorbidity patterns, and documentation inputs, improving documentation integrity and supporting clinical decision-making at scale. Clinicom streamlines workflows by allowing patients to complete assessments pre-visit, providing clinicians with structured context. It supports various organizations including behavioral health clinics, corrections, educational institutions, hospitals, and telehealth providers, aiming to improve patient outcomes and increase capacity.

QiZhenGPT is an open-source Chinese medical large language model developed by CMKRG. It leverages a Chinese medical instruction dataset built from the QiZhen Medical Knowledge Base to significantly improve performance in Chinese medical contexts. The model has been fine-tuned on Chinese-LLaMA-Plus-7B, CaMA-13B, and ChatGLM-6B models. Initially, it focuses on drug knowledge Q&A with a dedicated evaluation dataset, with plans to expand to diseases, surgeries, and examinations. QiZhenGPT also underpins MedCopilot, a smart medical assistant integrated with HIS and electronic medical record systems, offering features like functional assistant, auxiliary diagnosis, medical quality assurance, and medical record documentation. MedCopilot is already in use at Zhejiang University Second Affiliated Hospital.

AnginaX is an AI-powered platform designed to revolutionize cardiovascular prevention and care. It integrates advanced medical science with intelligent technology to offer a comprehensive solution for healthcare providers. The platform utilizes over 25 validated biomarkers, tailored for the Indian population, to assess cardiovascular risk with high precision. Key features include real-time risk-based triage, a Nationwide Unified Record System (AMR) for continuous care, and complete intervention workflows generated in under 5 minutes. AnginaX aims to reduce administrative load by 80%, allowing clinical teams to focus on patient care, and enables healthcare facilities to scale their patient capacity by 3-5 times without compromising decision quality. It serves various users from hospitals and clinics to public health programs and research institutions.

Seegnal is an enterprise Prescription Operating System designed to deliver precision prescribing and measurable clinical ROI. It integrates into existing clinical workflows to provide real-time decision support, aiming to reduce patient risk and lower healthcare costs. The platform focuses on building an intelligence layer for prescriptions, helping to prevent medication errors and manage drug interactions. By leveraging AI, Seegnal supports healthcare professionals in making informed medication decisions, ensuring prescription safety and enabling effective prescription governance. It is built for healthcare organizations looking to optimize their prescribing processes and achieve significant clinical and financial returns.

SmartPlate is an AI-powered meal planning software designed specifically for nutritionists, dietitians, and other health practitioners. It leverages advanced AI algorithms to generate personalized meal plans based on individual client preferences, dietary needs, and nutritional goals. The platform streamlines the meal planning process by automatically accommodating dietary restrictions, allergies, and preferences, allowing practitioners to save significant time. Key features include AI-powered recipe suggestions, nutritional analysis, client management, progress tracking, and a comprehensive recipe database. SmartPlate aims to help health professionals focus on client success while the AI handles the complexities of meal planning.

Predictive Healthcare offers MyHealthPal™, an AI-based postoperative surgical site infection monitoring technology designed to connect clinicians with patients remotely. MyHealthPal assesses wound health status, patient inputs, and vital signs to predict the risk of surgical site infections. Patients can use standard smart devices like smartphones to take wound photos and enter key information, which the algorithm then uses to identify standard or elevated infection risks, informing physician decision-making. This FDA-listed Class I medical device is available for home use, provides deviceless remote patient monitoring, and is designed to be easy for both patients and physicians. It integrates with current EMRs and is currently available for sale only in the US.

Health Prediction On Encrypted Data Using Fully Homomorphic Encryption is an innovative AI tool available on Hugging Face Spaces, designed to offer secure health predictions. It leverages fully homomorphic encryption (FHE) to analyze user-provided symptoms while keeping the data encrypted throughout the process. This ensures that sensitive health information remains private, addressing critical concerns in healthcare data security. Users can input at least five symptoms, encrypt them, and send them to the server for processing, receiving a disease diagnosis without compromising their privacy. This tool is particularly valuable for privacy-preserving machine learning (PPML) applications in the medical field, making advanced diagnostic capabilities accessible while maintaining data confidentiality.

Healthsea Demo is an AI healthcare tool hosted on Hugging Face Spaces, intended for healthcare data analysis and medical research. The tool is designed to offer data visualization capabilities, which could be beneficial for understanding complex medical datasets. However, at the time of review, the demo was experiencing a runtime error due to a scheduling failure, indicating insufficient hardware capacity. This prevents users from currently interacting with its features. The tool is presented as a demonstration of AI applications within the healthcare domain.

Tennr is an agentic patient orchestration platform designed for healthcare providers to streamline patient flow and improve operational efficiency. It leverages proprietary models trained on extensive datasets of service-to-payer criteria to make intelligent operational decisions for patient orders, referrals, and complex care journeys. The platform helps providers navigate complex payer requirements, reduce first-pass denials by turning payer criteria into automatic operational decisions, and eliminate friction in care coordination. Tennr automatically classifies and routes patient data from sources like faxes and portals, checks eligibility, investigates benefits, and submits prior authorizations, ensuring patients move through their care journeys without manual intervention. It also provides real-time visibility into operational bottlenecks, helping to prioritize work and improve cash flow.