Here are few AI tools that will shape healthcare in 2024

AI has emerged as a transformative force in healthcare, offering solutions to enhance patient care, streamline medical processes, and improve overall health outcomes.

As we move further into 2024, the integration of AI in the medical field continues to gain momentum, with new medical AI tools taking center stage.

The convergence of AI and healthtech has paved the way for groundbreaking developments in medical AI.

In this article, we explore the top 5 medical AI tools of 2024 and their core capabilities.

AI in healthcare examples: Top 5 medical AI tools in 2024
1. Merative
Merative, formerly known as IBM Watson Health, has emerged as a leading data, analytics, and technology partner for the healthcare industry in 2024.

With its rebranding and acquisition by Francisco Partners, Merative has solidified its position as a standalone company in AI solutions for healthcare, offering a carefully curated selection of AI applications for healthcare providers, payers, life sciences companies, and governments.

One of the key strengths of Merative lies in its versatility and adaptability. The company offers flexible deployment options, including on-premises, cloud-based, or hybrid solutions, ensuring that its AI applications can seamlessly integrate with existing healthcare systems.

Merative’s AI solutions are designed to address real-world clinical and operational challenges, enhancing diagnostic confidence and improving the overall clinical experience for physicians and other medical specialists.

Key capabilities and features of Merative

• Offers a wide range of AI applications for various medical specialties, including breast imaging, neurology, thoracic, musculoskeletal, and triage.
• Designed to work harmoniously with existing imaging systems, minimizing disruption to workflows and workspaces.
• Provides easily consumable and understandable insights for physicians, facilitating quick adoption and measurable benefits.
• Brings deep expertise in vendor-neutral archives, viewers, PACS systems, and a growing selection of regulatory-cleared AI applications.

Merative use case
Merative’s AI tool for breast cancer detection exemplifies the transformative potential of AI. By analyzing mammograms with advanced algorithms, the tool identifies potential areas of concern, enabling radiologists to prioritize cases and detect cancer at earlier stages.

This AI-assisted approach enhances the accuracy and efficiency of breast cancer screenings, leading to improved patient outcomes and potentially saving lives.

Merative’s seamless integration of AI into the workflow showcases its commitment to leveraging technology to tackle pressing healthcare challenges and drive positive change in patient care.

2. Enlitic
Enlitic, a prominent healthcare IT company, has significantly improved healthcare workflows through its AI-powered solutions.

The company’s flagship product, the Enlitic Curie platform, tackles the industry’s most pressing challenges by standardizing data, optimizing workflows, and boosting productivity. Enlitic uses AI to enable healthcare providers to unlock the true potential of their data in real time.

By focusing on the entire clinical workflow rather than just a single point in the process, Enlitic delivers time-saving solutions that positively impact patient lives while empowering clinicians and radiologists to concentrate on their core responsibilities.

The Enlitic Curie platform’s ability to normalize imaging data and extract valuable information from medical images is a game-changer in radiology, effectively tackling long-standing issues such as workflow inefficiencies and fragmented data.

Key capabilities and features of Enlitic

• Leverages AI to streamline healthcare workflows, enhance productivity, and improve overall efficiency.
• Normalizes imaging data, ensuring consistency and facilitating seamless integration across various systems.
• Enables healthcare providers to access and analyze data in real time, facilitating informed decision-making and timely interventions.
• Solves persistent problems such as operational inefficiencies and workflow bottlenecks.
• Utilized for data standardization, retrospective and real-time analysis, research, and risk mitigation.

Enlitic use case
Enlitic’s CurieENDEX application improves radiology workflows by leveraging AI to standardize medical imaging study descriptions.

CurieENDEX significantly enhances data quality by creating consistent naming conventions, leading to optimized hanging protocols, reduced reporting times, and improved routing accuracy.

This solution eliminates the need for manual protocol management, boosting radiologist productivity and overall departmental efficiency.

3. Regard
By integrating artificial intelligence into healthcare workflows, Regard aims to improve hospital finances, elevate patient safety standards, and enhance physician satisfaction.

The company’s solution uses AI to automatically review patient data, generate accurate diagnoses, and create comprehensive documentation for physicians, streamlining clinical processes and supporting informed decision-making.

Regard’s platform offers a holistic view of a patient’s health, consolidating critical information into a single, easily accessible page. This comprehensive overview empowers physicians to identify potential diagnoses based on the patient’s medical history, ensuring a thorough and accurate assessment.

Regard’s AI solution alleviates the pressure on physicians, enabling them to deliver high-quality care with increased confidence and efficiency.

Key capabilities and features of regard

• Automatically and securely analyzes each patient’s electronic health record (EHR), extracting relevant information and providing a comprehensive overview of their health status.
• Employs advanced algorithms to generate accurate and personalized diagnostic recommendations, enhancing patient safety and supporting physician decision-making.
• Automatically creates detailed and compliant documentation, reducing administrative burdens and allowing physicians to focus on delivering patient care.
• Enables physicians to quickly identify potential diagnoses, streamlining workflows and improving overall efficiency.
• Protects sensitive patient information while leveraging AI to drive improvements in healthcare delivery.

Regard use case
Regard’s AI-powered platform streamlines hospital workflows by automating documentation processes, enabling physicians to allocate more time to patient care and less on administrative tasks.

This optimization not only enhances the patient experience but also addresses critical financial challenges faced by healthcare institutions. By leveraging Regard’s technology, hospitals can effectively reduce readmission rates and improve revenue cycle management, ultimately strengthening their financial health while delivering superior care.

4. Viz.ai
Viz.ai, a healthcare technology company founded in 2016, is improving care coordination and reducing systemic delays in healthcare through AI capabilities.

Aiming to increase access to life-saving treatments, Viz.ai uses AI to analyze medical imaging and provide real-time insights and automated assessments to healthcare providers.

The company’s flagship product, Viz LVO, exemplifies the invaluable potential of AI in healthcare. Utilizing advanced deep learning algorithms, Viz LVO communicates time-sensitive information about stroke patients to specialists who can intervene and provide timely treatment.

By analyzing imaging data to detect suspected indications, prioritizing worklists, and connecting care teams in real-time, Viz LVO empowers healthcare providers to make informed decisions quickly and efficiently, ultimately saving lives and improving patient outcomes.

Key features and capabilities of Viz.ai

• Leverages advanced algorithms to analyze medical imaging and provide real-time insights and automated assessments, accelerating diagnosis and treatment.
• Viz LVO is the first-ever computer-aided triage and notification platform to receive De Novo clearance from the S. Food and Drug Administration (FDA).
• Enables healthcare providers to access critical information in real time, facilitating informed decision-making and timely interventions.
• Contributes to improved patient outcomes and increased access to life-saving treatments.

Viz.ai use case
Viz.ai’s AI-powered platform improves stroke care coordination, significantly reducing door-in door-out times at primary stroke centers and optimizing door-in-to-puncture times at comprehensive stroke centers.

5. DeepScribe
DeepScribe’s fully automated AI medical scribe has emerged as the most widely adopted ambient AI scribe in healthcare, designed to streamline clinical documentation, improve patient care, and alleviate clinical burnout.

With thousands of clinicians benefiting from its platform, DeepScribe is transforming how healthcare professionals approach medical documentation and patient care.

One of the key strengths of DeepScribe lies in its comprehensive set of capabilities. The platform supports dictation, allowing clinicians to dictate notes that are automatically transcribed into clinical documentation.

Additionally, DeepScribe integrates with electronic health records (EHRs), importing patient data to provide context for the documentation process.

The interactive editing feature empowers clinicians to fine-tune the AI-generated notes, ensuring accuracy and adherence to individual preferences.

Key Features and Capabilities of DeepScribe:

• The first AI scribe to generate personalized, specialty-specific notes within seconds of completing a visit.
• Offers a suite of tools and workflow options, enabling clinicians to tailor the AI scribe to their specific needs, which is particularly valuable for specialties that track patients over extended periods.
• Automatically generates a list of applicable ICD-10 codes after every patient conversation.
• Offers control over note content and formatting, matches AI notes to physician preferences and specialty workflows, and enables direct integration with EHR systems.

DeepScribe use case
A primary care physician leverages DeepScribe to streamline patient encounter documentation.

By activating the platform at the start of each visit, the physician enables DeepScribe to effortlessly record, transcribe, and analyze the patient-physician dialogue in real-time.

Following the consultation, the physician reviews the AI-generated clinical notes, makes any necessary adjustments, and approves the final version.

The potential of AI in healthcare
Integrating AI into our health has opened up a world of possibilities, promising to change how we approach patient care, medical research, and healthcare management.

As shown by some of the tools featured in this list, AI has already made significant strides in transforming various aspects of healthcare delivery. From accelerating medical research and drug discovery to enhancing diagnostic accuracy and improving patient outcomes, AI can significantly improve healthcare delivery.

One of the most exciting prospects of AI in the healthcare industry is its ability to personalize medicine by leveraging vast amounts of data, including patient records, genetic information, and clinical trial results. AI-powered diagnostic tools can help bridge the gap in healthcare access, particularly in underserved regions where specialist expertise may be limited.

Moreover, AI has the potential to greatly improve mental health care by providing accessible, affordable, and stigma-free support to individuals in need through chatbots and virtual therapists.

The bottom line
As the adoption of AI continues to grow, it is also essential to address the ethical and regulatory challenges that come with it.

Ensuring patient privacy, data security, and algorithmic fairness will be critical in building trust and maximizing the benefits of artificial intelligence.

Using AI responsibly and collaboratively can build a future where healthcare is more efficient, effective, and patient-centered than ever before. Techopedia