generative ai in healthcare 4

March 5, 2025 | Posted in News | By Avenue15

The Prominence of Generative AI in Healthcare Key Use Cases

Building a generative AI-ready healthcare workforce

By customizing FMs with their data, for example, healthcare organizations can ensure that models are tailored to specific needs. Healthcare organizations should consider solutions that can access a wide range of high-performing foundation models (FMs), which creates flexibility to adapt as technology evolves. One way to achieve this flexibility is to incorporate a fully managed service for generative AI into solutions to expedite experimentation processes and integrate models through a single API. Safeguarding sensitive data is paramount for healthcare organizations, so laying the groundwork for AI-driven healthcare means implementing robust security features and processes that protect data as it’s being applied to derive actionable insights. Much as they have in the past few years, analytics and AI trends in healthcare are primed to shake up the industry in 2025.

As industry leaders continue to prioritize their AI efforts in an effort to bolster digital transformation, communicating with their workforce about the pros and cons of AI use in healthcare is paramount. With a 20-year history of growing successful businesses, Dave has architected a best-in-class NLP solution at Reveleer and is responsible for delivering on ambitious technology, AI, and data analytics goals. Features that help explain the decision-making process behind the generated outputs are valuable, particularly for applications with high stakes or regulatory requirements. The ability to choose and train a suitable generative AI model architecture (e.g., customizing a GAN or VAE) for the specific healthcare task is crucial.

Regulating AI in Medical Device Manufacturing

Students analyzed a case study, generated ideas with ChatGPT, selected interventions that aligned with the client’s needs, and provided a rationale. They conducted evidence-based searches and wrote an analysis on how the research influenced their decisions. The results demonstrate generative AI’s potential as a valuable tool for OT students, enhancing their comfort with AI and understanding of ethical and safety considerations. Qualitative feedback highlighted AI’s role in boosting efficiency and creativity in intervention planning, with most students expressing strong intent to use ChatGPT in clinical practice due to its ability to reduce cognitive load and generate innovative ideas. These findings suggest that integrating generative AI into the OT curriculum could enhance intervention planning and improve clinical readiness.

• By analyzing large datasets, generative AI can identify patterns and trends that may not be apparent to human analysts, providing valuable insights that can improve patient care and outcomes.
• • Dana-Farber Cancer Institute uses a generative AI research tool to elevate clinicians’ ability to interpret complex lab results.
• Healthcare healthcare AI finds itself in 2025 pregnant with possibilities yet surrounded by pitfalls.
• Despite frameworks like Fast Healthcare Interoperability Resources (FHIR), AI insights often struggle to bridge gaps between different systems.

Setting your organization up for future success will require investments of time and resources in the near term. So, it’s not just all videos or all text, it’s some interactive visuals that can help test comprehension, it’s some videos that give them the core messages that we needed them to understand from the learning. We had Dr. Jonathan Handler, who is an innovation senior fellow with us, with years of experience, and then, also, Dr. Tyler Fitch, who is our CMIO I– very heavy in clinical informatics. There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data. Get in touch to develop innovative apps infused with Generative AI solutions that enhance engagement and elevate user experiences.

Benefits and Risks of GenAI Use in Healthcare

However, Dan notes that hospitals must take full responsibility for due diligence and ensure the AI is functioning correctly, especially if it’s being used for diagnostic purposes or in areas involving some level of risk. He emphasizes that hospitals need skilled data scientists and possibly new departments to validate and monitor the AI’s performance. However, the release of ChatGPT and the GPT-4 language model with vision capabilities made him, and many others, reconsider.

Moreover, it can facilitate drug discovery by generating novel molecular structures and predicting their properties. Furthermore, generative AI can assist medical research by simulating disease progression and predicting patient outcomes. For instance, large language models (LLMs) were shown to generate biased responses by adopting outdated race-based equations to estimate renal function12. In the process of image generation, biases related to gender, skin tone, and geo-cultural factors have been observed13. Similarly, for downstream tasks such as question answering, LLM-generated content is often factually inconsistent and lacks evidence for verification14.

However, it is worth noting that even the most advanced LLMs currently support only a limited number of mainstream languages, which limits the effectiveness of RAG in multilingual environments, particularly when dealing with languages in low-resource setting28. Additionally, RAG systems are able to retrieve pre-collected materials and present them in various formats, such as text, images, and videos, to facilitate patient education. This way allows the explanation of complex medical concepts to patients with diverse educational and cultural backgrounds29.

Internal Conversational Agents in Banking and Financial Services – with Dr. Tanushree Luke, Head of AI at US Bank

Gen AI can assist in searching patient documents, creating clinical documents, expediting prior authorizations, and speeding up medical imaging report turnaround times. By leveraging AI, healthcare professionals can focus more on patient care, improving overall efficiency and accuracy. While AI cannot replace human compassion and expertise, it supports healthcare professionals by reducing administrative tasks, paving the way for a more patient-centered healthcare system. Struggling with intervention planning can significantly increase the cognitive load for OT students during Level II fieldwork. The effort required to generate and refine intervention strategies may divert attention and mental resources away from other crucial aspects of client care, such as clinical reasoning, complex medical management of lines and tubes and therapeutic rapport building (3).

Healthcare organizations should actively seek and attract thought leaders and skilled professionals in AI who can craft strategies that are both progressive and in step with the latest developments in AI. Ambient computing involves the use of AI to listen to and analyze conversations between patients and physicians, with the goal of generating electronic health record (EHR) data directly from these interactions. This partnership will enable Illumina to use NVIDIA accelerated computing and AI toolsets for its multiomics analysis software and workflows.

Oracle’s growing impact in the Middle East: Driving AI and cloud innovation

This cutting-edge technology holds the promise of revolutionizing the healthcare industry by providing healthcare professionals with precise and personalized insights, automating routine administrative tasks, and boosting patient engagement. By leveraging generative AI, the healthcare sector can achieve unprecedented levels of efficiency and effectiveness, ultimately leading to better care for patients. By retrieving a patient’s complex clinical and molecular data, the RAG system empowers physicians to develop more accurate and personalized treatment plans tailored to each patient43. For example, generative AI models typically provide similar general clinical advice to cancer patients exhibiting similar signs and symptoms.

The growing enthusiasm and concerns around generative AI in healthcare come amid broader questions around the role of AI in clinical care, such as whether clinicians will become dependent on these tools. US patients are more comfortable with generative artificial intelligence (AI) analyzing their radiology scan and making a diagnosis than answering the phone at their doctor’s office. But this surprising result from Bain’s latest US Frontline of Healthcare survey is likely less a reflection of confidence in generative AI’s medical expertise than it is the result of consumer wariness of interacting directly with a new technology. The healthcare industry must also prepare for internal changes, such as upskilling teams, revising data acquisition strategies and understanding the implications for patient data privacy.

There are multiple types of generative AI, including large language models (LLMs), GANs, RNNs, variational autoencoders (VAEs), autoregressive models, and transformer models. Analytics efforts often aim to help health systems meet a key strategic goal, such as improving patient outcomes, enhancing chronic disease management, advancing precision medicine, or guiding population health management. AB 3030 seeks to balance the competing goals of alleviating administrative burdens on healthcare workers, increasing transparency around the use of GenAI, and mitigating potential harms from the use of GenAI. The law does not directly regulate the specific content of patient clinical information communications. Therefore, Regulated Entities may use GenAI tools so long as the communications pertaining to patient clinical information contain the required disclaimer and instructions.

This heightened cognitive load may hinder students’ overall performance, potentially leading to feelings of frustration and decreased confidence in their clinical abilities (4). Sewell et al. (5) explored the application of cognitive load theory in healthcare education and training. Posciask et al. (4) emphasize the importance of structuring instruction to reduce cognitive load and improve learning outcomes.

ChatGPT’s “hallucinations” — such as providing a detailed but very wrong answer by glossing over the obvious error in a prompt like “What is the world record for crossing the English Channel entirely on foot? For instance, a machine-learning model trained on close to one million electrocardiograms was able to perform as well as or better than cardiologists in diagnosing thirty-eight types of conditions. With the evolution of generative AI, provider organizations now have additional resources to rapidly classify, extract and analyze data at scale across complex and disparate care records and clinical documents. For example, generative AI solutions related to document generation and form-filling can assist with patient discharge management by driving streamlined processes that save time and money, as evidenced by organizations such as Centene Corporation. Part of setting that balance point between risk and benefit is combing the current landscape for processes that can be improved, not perfected, viaAI. Retrieval-Augmented Generation (RAG) is a method by which large language models (LLMs) dynamically retrieve and incorporate relevant information during the generation process, significantly reducing the incidence of hallucinations or factually incorrect outputs.

By automating these tasks and encoding decisions in CQL, organizations can reduce the time spent on manual paperwork and redirect that time toward patient-facing activities. The company is also developing agentic AI solutions, outfitted with NVIDIA AI Enterprise software including NVIDIA NIM™ microservices and NVIDIA Blueprints, that can speed research, clinical development and access to new treatments. IQVIA has been leading in the responsible use of AI, ensuring that its AI-powered capabilities are grounded in privacy, regulatory compliance and patient safety.

If the algorithm’s action and output align with the programmer’s goals, its behavior is “reinforced” with a reward. Semi-supervised machine learning relies on a mix of supervised and unsupervised learning approaches during training. Going forward, we could see other states explore similar AI regulation in the healthcare industry.

All this is possible thanks to the use of electrodes, new microsurgical techniques, and machine learning. Bioelectronic medicine researchers

, engineers, and surgeons at Northwell Health’s Feinstein Institutes for Medical Research have implanted microchips into the brain of a person who suffered from tetraplegia, i.e., four limbs paralysis. They have used AI algorithms to reconnect his brain with his spine, which acted as a digital bridge and allowed the paralyzed man to regain movement in his hands and feel sensations again.

In this way, the RAG system provides personalized health recommendations, including diet, exercise, and stress management, effectively promoting disease prevention. For example, for individuals with a high genetic risk of heart disease, the system could recommend specific dietary plans and appropriate exercise regimens to reduce the risk of eventually developing the disease. Generative artificial intelligence (AI) has recently attracted widespread attention across various fields, including the GPT1,2 and LLaMA3,4 series for text generation, DALL-E5 for image generation, as well as Sora6 for video generation. In health care systems, generative AI holds promise for applications in consulting, diagnosis, treatment, management, and education7,8.

How generative AI in healthcare is helping cut admin burden – TechTarget

How generative AI in healthcare is helping cut admin burden.

Posted: Mon, 04 Nov 2024 08:00:00 GMT [source]

By easing administrative burdens, AI can pave the way to a more efficient, accurate, and human-centered system where the needs of patients are always at the forefront. This technology is able to address the pressing challenges in the healthcare sector and delivers personalized treatment solutions. However, the realization of its full potential requires top effort to overcome various hurdles. Generative AI is well-placed to play a pivotal role in continued drug innovation and build a healthier future. Trust is not a given, it must be earned through clear data privacy and security practices and transparency in AI processes.

News

January 30, 2025 | Posted in News | By Avenue15

AI art is on the threshold of the “Controls Era” in 2025, says Adobe

Adobe introduces new generative AI features for its creative applications

Generate Background automatically replaces the background of images with AI content Photoshop 25.9 also adds a second new generative AI tool, Generate Background. It enables users to generate images – either photorealistic content, or more stylized images suitable for use as illustrations or concept art – by entering simple text descriptions. In addition, IBM’s Consulting solution will collaborate with clients to enhance their content supply chains using Adobe Workfront and Firefly, with an aim to enhance marketing, creative, and design processes.

Using the sidebar menu, users can tell the AI what camera angle and motion to use in the conversion. While Adobe Firefly now has the ability to generate both photos and videos from nothing but text, a majority of today’s announcements focus on using AI to edit something originally shot on camera. Adobe says there will be a fee to use these new tools based on “consumption” — which likely means users will need to pay for a premium Adobe Firefly plan that provides generative credits that can then be “spent” on the features.

Generally Intelligent Newsletter

Since the launch of the first Firefly model in March 2023, Adobe has generated over 9 billion images with these tools, and that number is only expected to go up. Illustrator’s update includes a Dimension tool for automatic sizing information, a Mockup feature for 3D product previews, and Retype for converting static text in images into editable text. Photoshop enhancements feature the Generate Image tool, now generally available on desktop and web apps, and the Enhance Detail feature for sharper, more detailed large images. The Selection Brush tool is also now generally available, making object selection easier.

With Adobe is being massively careful in filtering certain words right now… I do hope in the future that users will be able to selectively choose exclusions in place of a general list of censored terms as exists now. While the prompt above is meant to be absurd – there are legitimate artistic reasons for many of the word categories which are currently banned. Once you provide a thumbs-up or thumbs-down… the overlay changes to request additional feedback. You don’t necessarily need to provide more feedback – but clicking on the Feedback button will allow you to go more in-depth in terms of why you provided the initial rating.

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To me, this just sounds like a fancy way of Adobe saying – Hey folks, we’ve gotten too deep into AI without realizing how expensive it would be. Since we have no way of slowing it down without burning up our cash reserves, we’ve decided to pass on those costs to you. We realize you’ve been long-time users of us now, so we know you don’t really have another alternative to start looking for at such short notice.

In that sense, as with any generative AI, photographers may have different views on its use, which is entirely reasonable. This differs from existing heal functions, which are best suited to small objects like dust spots or minor distractions. Generative Remove is designed to do much more, like removing an entire person from the background or making other complex removals. Adobe is attempting to thread a needle by creating AI-powered tools that help its customers without undercutting its larger service to creativity. At the Adobe MAX creativity conference this week, Adobe announced updates to its Adobe Creative Cloud products, including Premiere Pro and After Effects, as well as to Substance 3D products and the Adobe video ecosystem. Background audio can also be extended for up to 10 seconds, thanks to Adobe’s AI audio generation technology, though spoken dialogue can’t be generated.

We want our readers to share their views and exchange ideas and facts in a safe space. Designers can also test product packaging with multiple patterns and design options, exploring ads with different seasonal variations and producing a range of designs across product mockups in endless combinations. If the admin stuff gets you down, outsource it to AI Assistant for Acrobat — a clever new feature that helps you generate summaries or get answers from your documents in one click. Say you have an otherwise perfect shot that’s ruined by one person in the group looking away or a photobombing animal.

Adobe’s Generative AI Jumps The Shark, Adds Bitcoin to Bird Photo – PetaPixel

Adobe’s Generative AI Jumps The Shark, Adds Bitcoin to Bird Photo.

Posted: Thu, 09 Jan 2025 08:00:00 GMT [source]

The latest release of Photoshop also features new ways for creative professionals to more easily produce design concepts and asset creation for complex and custom outputs featuring different styles, colors and variants. When you need to move fast, the new Adobe Express app brings the best of these features together in an easy-to-use content creation tool. Final tweaks can be made using Generative Fill with the new Enhance Detail, a feature that allows you to modify images using text prompts. You can then improve the sharpness of the AI-generated variations to ensure they’re clear and blend with the original picture. When you need to create something from scratch, ask Text-to-Image to design it using text prompts and creative controls. If you have an idea or style that’s too hard to explain with text, upload an image for the AI to use as reference material.

It shares certain features with Photoshop but has a significantly narrower focus. Creative professionals use Illustrator to design visual assets such as logos and infographics. On the other hand, if it’s easy to create something from scratch that doesn’t rely on existing assets at all, AI will hurt stock and product photographers. Stock and product photographers are rightfully worried about how AI will impact their ability to earn a living. On the one hand, if customers can adjust content to fit their needs using AI within Adobe Stock, and the original creator of the content is compensated, they may feel less need to use generative AI to make something from scratch. The ability for a client to swiftly change things about a photo, for example, means they are more likely to license an image that otherwise would not have met their needs.

Photographers used to need to put their images in the cloud before they could edit them on Lightroom mobile. Like with Generative Remove, the Lens Blur is non-destructive, meaning users can tweak or disable it later in editing. Also, all-new presets allow photographers to quickly and easily achieve a specific look. Adobe is bringing even more Firefly-powered artificial intelligence (AI) tools to Adobe Lightroom, including Generative Remove and AI-powered Lens Blur. Not to be lost in the shuffle, the company is also expanding tethering support in Lightroom to Sony cameras. Although Adobe’s direction with Firefly has so far seemed focused on creating the best, most commercially safe generative AI tools, the company has changed its messaging slightly regarding generative video.

It’s joined by a similar capability, Image-to-Video, that allows users to describe the clip they wish to generate using not only a prompt but also a reference image. Adobe has announced new AI-powered tools being added to their software, aimed at enhancing creative workflows. The latest Firefly Vector AI model, available in public beta, introduces features like Generative Shape Fill, allowing users to add detailed vectors to shapes through text prompts. The Text to Pattern beta feature and Style Reference have also been improved, enabling scalable vector patterns and outputs that mirror existing styles. Creators also told me that they were pleased with the safeguards Adobe was trying to implement around AI.

Generative Remove and Fill can be valuable when they work well because they significantly reduce the time a photographer must spend on laborious tasks. Replacing pixels by hand is hard to get right, and even when it works well, it takes an eternity. The promise of a couple of clicks saving as much as an hour or two is appealing for obvious reasons. “Before the update, it was more like 90-95%.” Even when they add a prompt to improve the results, they say they get “absurd” results. As a futurist, he is dedicated to exploring how these innovations will shape our world.

Lightroom Mobile Has Quick Tools and Adaptive Presets

Adobe and IBM are also exploring the integration of watsonx.ai with Adobe Acrobat AI to assist enterprises using on-premises and private cloud environments. Adobe and IBM share a combined mission of digitizing the information supply chain within the enterprise, and generative AI plays an important role in helping to deliver this at scale. IBM and Adobe have announced a “unique alliance” of their tech solutions, as the two firms look to assist their clients with generative AI (GenAI) adoption.

• That removes the need for designers to manually draw a line around each item they wish to edit.
• The Firefly Video Model also incorporates the ability to eliminate unwanted elements from footage, akin to Photoshop’s content-aware fill.
• Our commitment to evolving our assessment approach as technology advances is what helps Adobe balance innovation with ethical responsibility.
• For example, you could clone and paint a woman’s shirt to appear longer if there is any stomach area showing.

It’s free for now, though Adobe said in a new release that it will reveal pricing information once the Firefly Video model gets a full launch. From Monday, there are two ways to access the Firefly Video model as part of the beta trial. The feature is also limited to a maximum resolution of 1080p for now, so it’s not exactly cinema quality. While Indian brands lead in adoption, consumers are pushing for faster, more ethical advancements,” said Anindita Veluri, Director of Marketing at Adobe India. Adobe has also shared that its AI features are developed in accordance with the company’s AI Ethics principles of accountability, responsibility, and transparency, and it makes use of the Content Authenticity Initiative that it is a part of.

If you’re looking for something in-between, we know some great alternatives, and they’re even free, so you can save on Adobe’s steep subscription prices. Guideline violations are still frequent when there is nothing in the image that seems to have the slightest possibility of being against the guidelines. Although I still don’t know how to prompt well in Photoshop, I have picked up a few things over the last year that could be helpful. You probably know that Adobe has virtually no documentation that is actually helpful if you’ve tried to look up how to prompt well in Photoshop. Much of the information on how to prompt for Adobe Firefly doesn’t apply to Photoshop.