Best AI tools for< Clinical Laboratory Scientist >

Medlabreport.com is an AI-powered platform that helps users understand their medical exam results easily. By uploading a file, users receive a comprehensive report within 5 minutes, focusing on personalized insights based on symptoms, age, and other factors. The platform's advanced AI analyzes symptoms, provides recommendations, and prioritizes focus areas in the report. While the reports are not a substitute for licensed medical diagnosis, they offer a quick second opinion and complementary perspective to traditional healthcare. Users can trust the platform's AI model, which exceeds the passing score on the United States Medical Licensing Examination (USMLE) by over 20 points.

Protocol Pal is a website designed to help users with building protocols. It is a user-friendly platform created by Basam Alasaly, Oceanexplains, and Tkruer. The website aims to simplify the process of creating protocols for various purposes. Users can easily navigate through the platform to generate structured protocols efficiently. Protocol Pal is a valuable tool for researchers, scientists, and professionals who require well-defined protocols for their work.

Healthray is a Next-Gen AI Hospital Management System that offers a comprehensive suite of healthcare software solutions, including Hospital Information Management System (HIMS), EMR Software, EHR Software, Pharmacy Management System (PMS), and Laboratory Information Management System (LIMS). The platform leverages cutting-edge AI technology to streamline operations, elevate patient care, and optimize administrative efficiency for healthcare providers. Healthray caters to a wide range of medical specialties and offers advanced functionalities to revolutionize traditional healthcare practices. With a focus on digital healthcare solutions and AI integration, Healthray aims to transform the healthcare industry by providing innovative tools for doctors and hospitals.

Limbic is a clinical AI application designed for mental healthcare providers to save time, improve outcomes, and maximize impact. It offers a suite of tools developed by a team of therapists, physicians, and PhDs in computational psychiatry. Limbic is known for its evidence-based approach, safety focus, and commitment to patient care. The application leverages AI technology to enhance various aspects of the mental health pathway, from assessments to therapeutic content delivery. With a strong emphasis on patient safety and clinical accuracy, Limbic aims to support clinicians in meeting the rising demand for mental health services while improving patient outcomes and preventing burnout.

Unlearn.ai is an AI-powered digital twins solution provider that optimizes clinical trials. Their TwinRCTs enable confident and quick clinical trials in various medical fields such as neuroscience, immunology, and metabolic diseases. By creating digital twins of patients, Unlearn.ai enhances the power and efficiency of clinical trials, attracting study participants and making confident decisions from early to late-stage studies.

Cosign AI is an AI application that optimizes clinical practices by automating clinical documentation through an ambient scribe. The tool transforms conversations and dictations into clinical notes using large language models and customizable templates. It prioritizes HIPAA compliance and data security, ensuring a secure infrastructure for storing and processing protected health information. Clinicians can save time, reduce burnout, and improve note quality with this innovative solution.

Careo AI is an advanced AI-driven solution that is transforming clinical recruitment and revolutionizing healthcare staffing. The platform offers cutting-edge technology to streamline candidate management, vacancy tracking, workflow automation, analytics, and reporting. It provides seamless integration with existing systems, customization, and scalability for recruitment agencies. Careo AI aims to optimize recruitment strategies and enhance productivity in the healthcare industry.

AutoNotes is a leading healthcare AI Progress Note tool that offers AI-powered clinical documentation templates for generating SOAP Notes, DAP Notes, Treatment Plans, and more. It provides a user-friendly interface for therapists and healthcare professionals to create detailed and customizable clinical notes efficiently. With features like summarizing sessions, editing and downloading notes, and simple pricing plans, AutoNotes aims to streamline the documentation process in healthcare settings. The platform also offers advanced features like template customization, secure document storage, and dictation for voice-to-text conversion. Users can benefit from the platform's customization options, seamless integration with workflows, and responsive customer support.

DeepScribe is an AI medical scribe application that leverages advanced speech recognition technology to capture clinical conversations with extreme accuracy. It empowers clinicians and health systems with real-time AI insights, offers customization options to match provider workflows, and ensures trust and safety through features that promote AI transparency. DeepScribe is designed to save time, improve accuracy, drive adoption, and maximize revenue for doctors, hospitals, and health systems. The application is built for enterprise use, allowing users to unlock the power of AI and modernize their patient data strategy.

Everbility is an AI-powered clinical documentation tool designed for Allied Health Professionals. It helps in writing reports, synthesizing client notes, brainstorming ideas, and focusing on client care. The tool saves time by generating progress notes, letters, and assessment reports, while ensuring data privacy and compliance with regulations like HIPAA and Australian Privacy Principles.

Neuralink is a pioneering brain-computer interface (BCI) application that aims to redefine human capabilities by creating a generalized brain interface to restore autonomy to individuals with unmet medical needs. The application focuses on developing fully implantable BCIs that allow users, particularly those with quadriplegia, to control computers and mobile devices using their thoughts. Neuralink's innovative technology includes advanced chips, biocompatible enclosures, and surgical robots for precise implantation. The application prioritizes safety, accessibility, and reliability in its engineering process, with future goals of restoring vision, motor function, and speech capabilities.

Wysa is an AI-powered mental health application that provides immediate support through clinically validated AI chat conversations. It offers anonymous and unlimited care to help individuals work through worries, stressors, and symptoms of depression or anxiety. Wysa also provides structured programs, on-demand self-care exercises, and access to professional support for users in need. The application aims to transform how teams and families feel supported by leveraging AI technology to improve mental health outcomes globally.

Abridge is a generative AI platform designed for clinical conversations, integrated directly inside Epic. It transforms patient-clinician conversations into structured clinical notes in real-time, powered by advanced generative AI technology. Abridge saves hours of time-consuming documentation per clinician every month, provides clinically accurate summaries across specialties and languages, and creates highly accurate structured clinical note drafts. The platform aims to return time to healthcare teams, clarity to patients, and efficiencies to healthcare systems.

Glass is an AI-powered clinical decision support platform that empowers clinicians by providing differential diagnoses and drafting clinical plans based on patient summaries. The platform combines a large language model with evidence-based clinical guidelines to assist clinicians in making informed decisions. Glass Health aims to optimize the practice of medicine, improve patient care, increase diagnostic accuracy, implement evidence-based treatment, enhance medical education, eliminate burnout, accelerate health equity, and improve patient outcomes globally.

AiCure provides a patient-centric eClinical trial management platform that enhances drug development through improved medication adherence rates, more powerful analysis and prediction of treatment response using digital biomarkers, and reduced clinical tech burden. AiCure's solutions support traditional, decentralized, or hybrid trials and offer flexibility to meet the needs of various research designs.

MDHub is a clinical AI assistant designed to support behavioral health clinicians in their practice. It offers a user-friendly interface for seamless integration into workflows, time-saving features like instant audio transformation for charting, and personalized treatment plan recommendations. The application aims to enhance patient care by automating documentation tasks and improving efficiency in mental health practices.

Astra Health is a leading multilingual AI assistant designed for clinicians to streamline clinical documentation and improve patient care. The application offers features such as automating clinical documentation, ambient listening mode for real-time transcription, instant notes generation, multi-lingual consultation and dictation, custom templates creation, and voice-controlled AI mode. Astra Health prioritizes ethical and safe practices, ensuring data security and compliance with privacy regulations.

Bot MD is an AI clinical assistant application that provides instant hospital information search, automates patient monitoring and care, and integrates with a wide range of hospital systems. It is used by thousands of doctors and nurses worldwide to streamline workflows, improve patient care, and enhance communication. The AI chat assistant helps healthcare professionals access clinical information quickly and efficiently, saving time and improving patient outcomes.

RapidAI is a software platform powered by AI that focuses on aneurysm, pulmonary embolism, and stroke. It offers a range of products and solutions designed to improve patient care and efficiency in hospitals. The technology is clinically rooted and revolutionary, developed by clinicians for clinicians. RapidAI's AI-based platform is known for its speed, scalability, and security, with customization options to meet specific hospital needs. The platform has been trusted by 2,200 hospitals, impacting 90 million lives over 15 years of technological development.

NeuProScan is an AI platform designed for the early detection of pre-clinical Alzheimer's from MRI scans. It utilizes AI technology to predict the likelihood of developing Alzheimer's years in advance, helping doctors improve diagnosis accuracy and optimize the use of costly PET scans. The platform is fully customizable, user-friendly, and can be run on devices or in the cloud. NeuProScan aims to provide patients and healthcare systems with valuable insights for better planning and decision-making.

LLMs4TS is a repository focused on the application of cutting-edge AI technologies for time-series analysis. It covers advanced topics such as self-supervised learning, Graph Neural Networks for Time Series, Large Language Models for Time Series, Diffusion models, Mixture-of-Experts architectures, and Mamba models. The resources in this repository span various domains like healthcare, finance, and traffic, offering tutorials, courses, and workshops from prestigious conferences. Whether you're a professional, data scientist, or researcher, the tools and techniques in this repository can enhance your time-series data analysis capabilities.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

AI-IGU is a GitHub repository focused on Artificial Intelligence (AI) concepts, technology, software development, and algorithm improvement for all ages and professions. It emphasizes the importance of future software for future scientists and the increasing need for software developers in the industry. The repository covers various topics related to AI, including machine learning, deep learning, data mining, data science, big data, and more. It provides educational materials, practical examples, and hands-on projects to enhance software development skills and create awareness in the field of AI.

Cyclops is a toolkit for facilitating research and deployment of ML models for healthcare. It provides a few high-level APIs namely: data - Create datasets for training, inference and evaluation. We use the popular 🤗 datasets to efficiently load and slice different modalities of data models - Use common model implementations using scikit-learn and PyTorch tasks - Use common ML task formulations such as binary classification or multi-label classification on tabular, time-series and image data evaluate - Evaluate models on clinical prediction tasks monitor - Detect dataset shift relevant for clinical use cases report - Create model report cards for clinical ML models

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

MOOSE 2.0 is a leaner, meaner, and stronger tool for 3D medical image segmentation. It is built on the principles of data-centric AI and offers a wide range of segmentation models for both clinical and preclinical settings. MOOSE 2.0 is also versatile, allowing users to use it as a command-line tool for batch processing or as a library package for individual processing in Python projects. With its improved speed, accuracy, and flexibility, MOOSE 2.0 is the go-to tool for segmentation tasks.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

AI Hospital is a research repository focusing on the interactive evaluation and collaboration of Large Language Models (LLMs) as intern doctors for clinical diagnosis. The repository includes a simulation module tailored for various medical roles, introduces the Multi-View Medical Evaluation (MVME) Benchmark, provides dialog history documents of LLMs, replication instructions, performance evaluation, and guidance for creating intern doctor agents. The collaborative diagnosis with LLMs emphasizes dispute resolution. The study was authored by Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xie, Fei Huang, and Jingren Zhou.

Grand Challenge is a platform that provides access to large amounts of annotated training data, objective comparisons of state-of-the-art machine learning solutions, and clinical validation using real-world data. It assists researchers, data scientists, and clinicians in collaborating to develop robust machine learning solutions to problems in biomedical imaging.

Open Life Science AI: Medical Reasoning Tasks is a collaborative hub for developing cutting-edge reasoning tasks for Large Language Models (LLMs) in the medical, healthcare, and clinical domains. The repository aims to advance AI capabilities in healthcare by fostering accurate diagnoses, personalized treatments, and improved patient outcomes. It offers a diverse range of medical reasoning challenges such as Diagnostic Reasoning, Treatment Planning, Medical Image Analysis, Clinical Data Interpretation, Patient History Analysis, Ethical Decision Making, Medical Literature Comprehension, and Drug Interaction Assessment. Contributors can join the community of healthcare professionals, AI researchers, and enthusiasts to contribute to the repository by creating new tasks or improvements following the provided guidelines. The repository also provides resources including a task list, evaluation metrics, medical AI papers, and healthcare datasets for training and evaluation.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

Expert in all aspects of spectral flow cytometry.

The main objective of a personalized ChatGPT for reading laboratory tests is to evaluate laboratory test results and create a spreadsheet with the evaluation results and possible solutions.

Comprehensive Guide in Clinical Trials & Regulations

Expert in healthcare data analysis, coding, and clinical trials.

I can assist doctors with information synthesis, medical literature reviews, patient education material, diagnostic guidelines, treatment options, ethical dilemmas, and staying updated on medical research and innovations.

Expert AI Doctor with up to date medical resources and textbooks to help improve your clinical skills.

Direct, insightful EEG and neurofeedback analysis specialist.

Accurate and timely matching of patients with clinical trials

Find active recruiting oncology clinical trials near you.

Expert in oncology trial matching, leveraging advanced GPT-4 Turbo techniques.

Explains clinical training at Tokamachi Hospital.

Clinical trial assistant answering questions about clinical trials.

Expert in creating tailored clinical psychology workshop presentations

Formally evaluates clinical cases against CDC/NHSN HAI surveillance definition criteria

Eyecare Clinical Assistant

Voice-to-text, Vision-to-text transcription, Transcript-to-‘Clinical format’ integrated with CDS. Writes clinical notes, referral letter, generate PDF,prepare discharge summary. (Ultimate aid for clinicians)

A therapist blending clinical methods with Eastern and Western philosophies.

Discuss AI and Theory of Mind with Clinical Psychologist Dr. Tamara Russel PHD and AI Expert Cris Ippolite

Expert in biology, always ready to clarify new stem cell treatments.biomedical research, clinical trials. Learn about different stem cell types, current/future uses, and the latest in research.

An academic assistant for psychiatrists, creating educational content and practice questions. (Not for use in clinical decision making, verify all information, as model may produce errors)