Top 8 AI Tools in Healthcare for 2024

Deep 6 AI is a leading clinical trial acceleration software that utilizes artificial intelligence (AI) and natural language processing (NLP) to accurately match patients with trials. Deep 6 AI aims to bring life-saving treatments to patients faster by changing inefficient manual processes in clinical research. The AI-driven Deep 6 platform connects patients, doctors, sponsors, and research sites to accelerate every phase of drug development.

AiCure is an innovative AI and advanced data analytics company founded in 2010, transforming clinical trials and patient care through computer vision and machine learning. Its patient-centered clinical trial management platform uses facial recognition, voice analysis, and motion tracking to remotely monitor patients’ behavior, engagement, and treatment responses.

Paige. AI is an industry leader developing cutting-edge artificial intelligence (AI) solutions for digital pathology. Founded in 2017 by renowned pathologists at the Memorial Sloan Kettering Cancer Center, the goal of AI is to revolutionize the diagnosis and treatment of cancer. With interoperability and seamless AI integration at its core, Paige. AI represents the future of computational pathology.

Viz.ai is a leading medical AI tool that is changing healthcare by using advanced algorithms to analyze medical images and patient data. Founded in 2016 by Dr. Chris Mansi and Dr. David Golan, Viz.ai was created after witnessing the harmful effects of delays in intensive care. The Viz platform is an intelligent care coordination solution that uses AI and workflow software to accelerate diagnosis and treatment. It employs advanced deep learning algorithms to analyze medical images like CT scans, identifying suspicious diseases in real-time. Within seconds of image acquisition, the platform sends alerts via text and mobile applications to notify clinicians of potential pathologies. This instant classification aids in faster expert review and care coordination. The platform connects healthcare teams through role-based mobile and desktop communication to discuss findings, determine treatment plans, and quickly mobilize resources.

Merative (formerly IBM Watson Health) is a leading company in healthcare data and analytics, becoming the ideal AI tool in the healthcare field. It provides comprehensive solutions for clinical decision support, innovative imaging, clinical development, and healthcare analytics. It offers convenient access to patient information, accurate diagnoses, and seamless integration with existing clinical workflows.

Merative is considered one of the best AI healthcare tools, using state-of-the-art deep learning algorithms to analyze complex healthcare data. Its imaging solutions can detect key findings in scans and flag them for radiologists’ review. Clinical decision support provides evidence-based information on medications, diseases, and alternatives to optimize patient care.

Insilico Medicine, founded in 2014, is a global leader in applying AI to drug discovery. Headquartered in Hong Kong, Insilico has R&D centers worldwide, leading the application of next-generation AI technologies such as deep learning, reinforcement learning, and translational technology, transforming every step of the drug development process.

Insilico’s AI platform, Pharma AI, is accelerating target identification, new molecule generation, and clinical trial analysis to discover breakthrough therapies for fibrosis, immunology, central nervous system, and age-related diseases. Over 50 AI algorithms work together. Pharma AI replicates the expertise of human researchers, systematically identifying new targets, designing optimal drug candidates, and predicting trial outcomes with greater accuracy than traditional methods.

Qventus is an AI platform that automates healthcare operations to improve patient outcomes. Qventus combines AI, machine learning, and behavioral science to streamline hospital workflows—from emergency departments and surgical units to inpatient care—to enhance efficiency.

This innovative AI healthcare solution was founded in 2012 by technology veterans Mudit Garg and Euan Thomson to address the operational complexities facing modern hospitals. Since its inception, Qventus has partnered with over 70 leading healthcare systems, including Dignity Health, M Health Fairview, and NewYork-Presbyterian, to transform healthcare delivery.

Qventus seamlessly integrates with existing IT infrastructure (such as electronic health records and data systems). The system uses real-time data and predictive analytics to detect operational bottlenecks before they arise, enabling swift corrective actions. The software also employs behavioral techniques to drive accountability and process compliance among staff.

PathAI is an AI healthcare tool company based in Boston, a top provider of AI research tools and services for pathology. The company is dedicated to transforming the field of pathology with AI, utilizing modern methods of machine and deep learning to improve diagnostic accuracy and treatment effectiveness.

PathAI collaborates with leading life science companies, laboratories, and researchers to advance precision medicine, aiming to help pathologists make more accurate diagnoses and better predict patient responses to treatments.

PathAI’s flagship product, AISight, is an AI-driven digital pathology platform that facilitates the management, analysis, and seamless collaboration of whole slide images. AISight integrates AI algorithms trained on industry-leading datasets with over 15 million annotated pathology images. These algorithms can identify areas of interest, classify tissue types, score biomarkers, and more, aiding pathologists in making faster, more accurate diagnoses.

What Role Does AI Play in Healthcare Decision Support and Treatment Planning?

Artificial Intelligence (AI) is transforming healthcare decision support and treatment planning by enabling data-driven personalized recommendations. AI analyzes vast amounts of patient data and medical literature to identify patterns and correlations that can inform clinical decisions.

AI can process patient information such as medical history, genomics, and imaging to assess disease risks, predict outcomes, recommend screening tests, assist in diagnoses, and suggest optimal treatment methods.

AI models can also learn from past treatment responses and outcome data to further tailor recommendations for each patient. For example, AI decision support systems can analyze patient records and data to stratify individuals based on risk levels, likelihood of benefiting from interventions, or susceptibility to side effects.

This enables clinicians to select treatment approaches most likely to succeed for specific patients while minimizing adverse events. AI can also assist in designing highly customized treatment plans by proposing combinations and timelines optimized for specific cases.

Moreover, as more patient data is aggregated and models refined, AI is expected to continuously improve recommendations over time. AI is designed to complement clinical expertise, not to replace physicians in complex decision-making or dealing with uncertainty. Close collaboration between clinicians and data scientists is crucial for developing trustworthy AI healthcare tools that can enhance care while ensuring patient safety and ethical standards.

Overall, AI decision support is ushering in an era of data-driven precision medicine, but integrating it into clinical practice requires due diligence to maximize benefits and minimize potential risks. AI in healthcare will be a transformative force in the evolution of healthcare.