#ai in healthcare

[techytoolzataclick]

Top Futuristic AI Based Applications by 2024

2024 with Artificial Intelligence (AI) is the backdrop of what seems to be another revolutionary iteration across industries. AI has matured over the past year to provide novel use cases and innovative solutions in several industries. This article explores most exciting AI applications that are driving the future.

1. Customized Chatbots

The next year, 2024 is seeing the upward trajectory of bespoke chatbots. Google, and OpenAI are creating accessible user-friendly platforms that enable people to build their own small-scale chatbots for particular use cases. These are the most advanced Chatbots available in the market — Capable of not just processing text but also Images and Videos, giving a plethora of interactive applications. For example, estate agents can now automatically create property descriptions by adding the text and images of listings thatsurgent.

2. AI in Healthcare

AI has found numerous applications in the healthcare industry, from diagnostics to personalized treatment plans. After all, AI-driven devices can analyze medical imaging material more accurately than humans and thus among other things help to detect diseases such as cancer at an early stage. They will also describe how AI algorithms are used to create tailored treatment strategies personalized for each patient's genetics and clinical past, which helps enable more precise treatments.

3. Edge AI

A major trend in 2024 is Edge AI It enables computer processing to be done at the edge of a network, rather than in large data centers. Because of its reduced latency and added data privacy, Edge AI can be used in applications like autonomous vehicles transportations, smart cities as well as industrial automation. Example, edge AI in autonomous vehicles is able to get and process real-time data, increasing security by allowing faster decision-making.

4. AI in Finance

Today, the financial sector is using AI to make better decisions and provide an even stronger customer experience. Fraud detection, risk assessment and customised financial advice have introduced insurance into the AI algorithm. AI-powered chatbots and virtual assistants are now common enough to be in use by 2024, greatly assisting customers stay on top of their financial well-being. Those tools will review your spending behavior, write feedback to you and even help with some investment advices.

5. AI in Education

AI is revolutionizing education with individualized learning. These AI-powered adaptive learning platforms use data analytics to understand how students fare and produces a customised educational content (Hoos, 2017). This way, students get a tailored experience and realize better outcomes. Not only that, AI enabled tools are also in use for automating administrative tasks which shortens the time required by educators on teaching.

6. AI in Job Hunting

This is also reverberating in the job sector, where AI technology has been trending. With tools like Canyon AI Resume Builder, you can spin the best resumé that might catch something eye catchy recruiter among a dozen others applications he receives in-between his zoom meeting. Using AI based tools to analyze Job Descriptions and match it with the required skills, experience in different job roles help accelerating the chances of a right fit JOB.

7. Artificial Intelligence in Memory & Storage Solutions

Leading AI solutions provider Innodisk presents its own line of memory and storage with added in-house designed AI at the recent Future of Memory & Storage (FMS) 2024 event. Very typically these are solutions to make AI applications easier, faster and better by improving performance scalability as well on the quality. This has huge implications on sectors with substantial data processing and storage demands (healthcare, finance, self-driving cars).

Conclusion

2024 — Even at the edge of possible, AI is revolutionizing across many industries. AI is changing our lives from tailored chatbots and edge AI to healthcare, finance solutions or education and job search. This will not only improve your business profile as a freelancer who create SEO optimized content and write copies but also give your clients in the writing for business niche some very useful tips.

[fittywise]

Health & Wellness Trends for 2024

Health & Wellness Trends for 2024

The health and wellness sector is ever-changing propelled by new technologies, and an increasingly strong emphasis on mental and bodily well-being.

AI in Meditation

Meditation: Day by day meditation apps are increasing their hype and benefits which provide customized sessions based on your preference through AI enabled Meditation apps (Headspace, Calm). They offer guided meditations, breathing exercises and mindfulness practices which facilitate easier and more complete meditation.

Tech-Enhanced Yoga

Whether in virtual classes or through yoga wearables, there are plenty of tech-based advancements that have begun to really enhance this millennia-old practice for those still dispatched creatively seeking such alternatives. The likes of Glo provide both live and on-demand classes – while smart yoga mats and fitness trackers can now give you instant feedback on your poses, alignment, etc.

Novel Wellness Tech

Wellness technologies continue to pick up steam, with health and fitness tracking tools being built into more wearables, smart home gyms starting to appeal to a broader range of exercisers, and an uptick in health start-ups targeting individualized preventive care. These are the kinds of innovations that enable people to have their health at their fingertips, and offer real-time insights with directed recommendations.

Digital mental health solutions

Digital therapy platforms, which fall somewhere between the light and controversial categories, such as BetterHelp and Talkspace, are on a continuous rise in 2020 while mental health apps are further normalizing discussing psychological problems. These digital tools are fantastic in that they make it easy and private to get help for stress, anxiety, and depression.

Positivity and Fitness Apps

The more you use fitness motivation apps and exercises in positivity, the more motivated you will be to stay healthy! Fitness goals can be tracked through apps like MyFitnessPal and Strava, while Happify sends daily affirmations and mental wellness exercises.

Home Workout Trends

In addition to home workouts, interactive fitness platforms like Peloton and VR fitness apps have taken off as best ways to stay fit. Bodyweight and equipment-free workouts are also taking over the popularity of such routines as they can be done at any time.

[ds4u]

Generative AI has introduced medical chatbots, which offer patients personalized medical attention and advice when required. For example, a company has developed a generative AI medical chatbot. Now, the chatbot will ask patients about their problems, underlying symptoms, past medical history, and more to deliver personalized plans and medical care.  

[aiinstitutedelhi]

AI in industry

Numerous industries are using AI to boost production, efficiency, and decision-making. The adoption of AI technology has been driving innovation in industries such as healthcare, retail, finance, and manufacturing. Businesses and independent business owners are making significant investments in AI-related projects.

 As a result nowadays, many teenagers are interested in taking AI courses after completing their 12th. Jeetech Academy is one of the best institute for A artificial intelligence course in Delhi. Check them out if you are interested in taking a course

[starry-genome]

My job sent out an email telling everyone to stop using AI bots to do their jobs. I work at a hospital.

Healthcare professionals are using AI bots like ChatGPT to write medication and discharge instructions for patients. They’re using them to determine billing codes to use for certain symptoms. They’re entering patient information into these bots which is a huge confidentiality/HIPAA violation.

How many people are getting the wrong info for their medication? Incorrect aftercare and follow up instructions? How many people are being billed with the wrong codes and getting their insurance claims fucked over?

[diptisinghblog]

Strategic Approaches to Healthcare Management for PGDM Graduates

[ilaxmi]

https://viitorcloud.com/blog/ai-agents-in-healthcare-services/

[jcmarchi]

Daniel Cane, Co-CEO and Co-Founder of ModMed – Interview Series

New Post has been published on https://thedigitalinsider.com/daniel-cane-co-ceo-and-co-founder-of-modmed-interview-series/

Daniel Cane, Co-CEO and Co-Founder of ModMed – Interview Series

Daniel Cane is co-CEO and cofounder of South Florida-based ModMed®, a healthcare IT company that is transforming healthcare through specialty-specific, intelligent platforms to increase practice efficiency and improve patient outcomes.

Founded in February 2010, ModMed has grown to over 1,200 employees and has raised over $332 million in total investment. Known for its progressive growth as a medical technology company, ModMed is frequently recognized both nationally and regionally for its achievements under Daniel’s leadership. In 2020, the company was named one of the Best Workplaces in the Country by Inc. magazine. Between 2016 and 2018, the company was named one of the fastest-growing companies in North America on the Deloitte Technology Fast 500™ list. Starting in 2015, the company has been named annually to the exclusive Inc. 5000 list, a prestigious compilation of the fastest-growing private companies in the country.

Can you share some insights into your background and how it has influenced your work at ModMed?

My journey into tech began during my undergraduate years at Cornell when I co-founded Blackboard. We transformed education by digitizing class notes and creating a platform that gave students and faculty unprecedented flexibility and interaction. For me, Blackboard’s success culminated in 2004 with its IPO, and while our solutions were game-changing in edTech, I couldn’t help but keep an eye out for new challenges.

One such challenge presented itself when I went for a routine checkup with my dermatologist. We had an incredible talk about the struggles of using outdated paper-based systems and ways to fix them. Realizing the bridge between his medical expertise and my technical know-how, we decided to team up and create ModMed along with our first electronic health record (EHR) platform.

At the time, some EHRs already existed, but unfortunately, studies often cited them as one of the leading causes of physician burnout. We took a different approach and designed our EHR to adapt the user experience to the specific workflows of a medical specialty. Our flagship cloud-based EHR, EMA, is and continues to be designed by doctors, for doctors, which has set us apart and defines our secret sauce in the market. Over the years, we’ve expanded our product offerings to include a full suite of solutions that help medical providers simplify and streamline their practice operations and expedite the delivery of care.

How do you see the battle for effective AI in healthcare being won or lost with data?

We’re starting to see a rise in the adoption of AI technology within practices to streamline workflows and maximize efficiency. As we move into an era of using AI to do more sophisticated tasks – such as suggesting treatment or other clinical-support recommendations – it is paramount to have the right data and AI training strategy in place. AI has the opportunity to significantly improve the experience for patients and providers and create systemic change that will truly improve healthcare, but making this a reality will rely on large amounts of high-quality data used to train the models.

Why is data so critical for AI development in the healthcare industry?

Data is the lifeblood of AI, and poor data quality will impair an AI’s performance, leading to suboptimal outcomes. This can have dire consequences in a healthcare setting as patient lives may be at stake. But a more likely scenario is that these negative experiences could undermine both patients’ and providers’ trust in AI, slowing down progress and the positive impact this revolutionary technology can have on healthcare.

For example, in the exam room, AI-enabled ambient listening tools are designed to suggest content for clinical notes for the provider to review and approve. Ideally, this should reduce the amount of time a provider spends documenting within the EHR and allow for more quality time with the patient. However, poor data sourcing and ill-trained AI tools could have the opposite effect, leaving providers to instead spend an inordinate amount of time fixing errors and re-writing notes.

Additionally, bias is a significant risk associated with AI algorithms, and quality data can play a key role in mitigating healthcare disparities. AI models can learn patterns that effectively treat one patient population preferentially compared to other populations, including legally protected groups. By monitoring the data inputs and training on robust and representative data, AI outputs can be more inclusive and accurate.

Can you elaborate on the types of data ModMed uses to train its AI models and how this data is sourced and managed?

At ModMed, we use comprehensive specialty-specific data to help train our AI models with precision. Over the last 14 years, we’ve created specialty-specific, de-identified structured data sets consistent with privacy laws and are now leveraging this in-house data to train our AI models. For example, our ambient listening tool ModMed Scribe has been trained for dermatology, our first specialty launch, on millions of structured parameters from de-identified patient records sampled from a collection of 500 million patient encounters.

How does ModMed define “ethical AI” in the context of healthcare?

The potential for AI to have biases or provide inaccurate information in the form of “hallucinations” or omissions can impact patient lives. For this reason, ethical AI in healthcare is about setting a high standard for accuracy and precision. It means developing algorithms carefully and responsibly and using high-quality and diverse data to help enable more accurate predictions for every user.

Ethical AI is also about ensuring that humans remain in the equation. An AI should not “out doctor the doctor” but instead reduce the administrative burden physicians and their staff experience so they can focus more on helping patients.

What measures are in place at ModMed to allow AI technologies to be developed and deployed ethically?

Our structured data approach—curating high-quality, representative training data sets—helps us make responsible AI a reality. Relevant and de-identified data collected from our EHR systems from a wide variety of practices provides us with a diverse set of training data that reflects different patient populations.

Additionally, our development team embraces data cleaning to facilitate collecting and utilizing high-quality data. This process allows our teams to identify, rectify, and remove inconsistencies, errors, and missing values from the data set. Through this regular maintenance, we can consistently update the AI based on performance data, especially clinical data, where patient outcomes can be impacted.

Can you discuss the importance of transparency and accountability in AI development, especially in healthcare?

Transparency makes accountability possible, which is why it’s such a crucial underpinning to any AI solution in healthcare. Physicians’ top priorities are patient care and safety, so it’s no surprise that 80% of physicians want to know the characteristics and features of the design, development, and deployment of AI tools.

Additionally, not all data is created equal. It’s important to know where and how data is stored and sourced and how regularly it is updated. We’re fortunate that since ModMed’s inception, we have been committed to a data strategy that prioritizes transparency and accuracy. We have a thorough understanding of our data’s sources and quality and are confident that our AI integrations will deliver considerable value to our clients.

How is AI being integrated into ModMed’s specialty-specific EHR systems like EMA and gGastro?

Across our portfolio, we have been utilizing machine learning for some time and strengthening our investment in advanced and generative AI to simplify the business of medicine and expedite quality care. We’re building out an entire AI-powered practice experience that starts before a patient walks in the door, extends through the exam room, all the way through to the billing department.

In the clinical setting, we are in the final stages of our AI ambient listening pilot program for EMA, which we believe will be a game-changer for its downstream functionality and suggested structured content. Our AI-powered documentation solution is designed to streamline the care process beyond just transcription or drafting a SOAP note. Utilizing vast amounts of structured data, we’re training our AI models to capture essential information from doctor-patient conversations and, working alongside our EHR, to suggest relevant content for visit notes, including ICD-10 codes, surgical codes, and prescriptions. This saves physicians precious time and allows them to spend more quality time with their patients.

What specific benefits do specialty-specific AI solutions provide to healthcare providers and patients?

No two medical specialties are alike. They vary widely with the patients they see, the conditions they treat, and the medical codes used for reimbursements. AI solutions must be tailored to accommodate these variations to be effective in any truly meaningful way.

For example, ModMed’s EHRs and AI ambient listening tools are tailored explicitly to each medical specialty, providing highly relevant and precise support to clinicians. Each specialty’s documentation process requires different components within the structured data note, including unique medical codes and terminology. This specialization allows the AI to better understand and anticipate the unique needs and workflows of varying specialty practices, which we believe will result in more efficient implementation, faster adoption, and greater overall effectiveness in improving operational efficiency.

Where do you see the most significant opportunities for AI in healthcare over the next five to ten years?

In the future, AI will undoubtedly permeate nearly every aspect of healthcare in ways we can’t imagine. Already, AI is being harnessed for administrative tasks, and in the near term, this trend will likely surge as AI’s value becomes more apparent.

I also see a future when AI is seamlessly integrated throughout doctor-patient interactions, where the ‘user interface’ or UI is virtually invisible. Instead of today’s screen-based interactions, AI could offer a blend of reality and augmented reality. This future state AI could potentially analyze health records to identify critical insights, predicting a patient’s risk for various diseases. The vast amount of data in medical records presents an opportunity for AI to anticipate future care needs and create and help manage preventive care treatment plans.

This experience could extend beyond the practice setting and become integral to a patient’s daily life. AI-powered wearables could provide personalized support, answer questions, and schedule appointments among other things. AI could also monitor vital signs remotely, detecting and alerting providers to potential health issues. Personalized treatment plans, tailored to individual patients based on data and preferences, could become the norm.

This is truly an exciting time for healthcare. The next five to ten years are ripe with opportunities to further transform the industry and improve the patient experience.

Thank you for the great interview, readers who wish to learn more should visit ModMed. 

[shaip]

Top 19 Medical Datasets to Supercharge Your Machine Learning Models

[2ribu]

Penggunaan Cloud Computing dalam Pengembangan AI: Alat dan Platform yang Meningkatkan Efisiensi

Cloud computing telah menjadi salah satu inovasi teknologi paling signifikan dalam dekade terakhir. Dalam pengembangan kecerdasan buatan (AI), peran cloud computing sangat penting karena memungkinkan pengembang untuk memanfaatkan infrastruktur dan layanan yang fleksibel, skalabel, dan hemat biaya. Dengan semakin kompleksnya algoritma AI dan meningkatnya kebutuhan akan data besar (big data), cloud…

[marketgurutech]

Tech Innovations in AI and Machine Learning in 2025

AI and Machine Learning have become everyday game-changers in our lives. Whether it’s chatbots that answer your questions or cars that drive themselves, these technologies are reshaping the world around us. But what’s happening now in this fast-evolving field? Let’s explore some of the latest and most exciting innovations in AI and Machine Learning in 2025. What is AI and Machine…

[hanasatoblogs]

The future of healthcare lies in harnessing the power of AI and MDM solutions. By breaking down data silos and creating a unified platform, these technologies can pave the way for a more efficient, effective, and, ultimately, more human-centric healthcare system. As AI continues to evolve and healthcare data becomes even richer, the possibilities for innovation are endless.

[ds4u]

How AI is Transforming Industries: The Future of Business Innovation

Explore how AI is revolutionizing industries like healthcare, finance, retail, manufacturing, and logistics. This blog delves into the transformative impact of AI and AI transformation on business operations, from enhancing customer experiences to optimizing efficiency. Discover key applications, benefits, challenges, and trends shaping the future of business innovation through AI.

[medicalweightloss100]

Preventing Injuries with Real-Time Wearable Technology

Real-time wearable technology is transforming injury prevention and patient care, offering unprecedented insights into human movement and health risks. These intelligent devices, equipped with advanced sensors and AI, continuously track biomechanical signals to help healthcare professionals anticipate and prevent potential injuries. One critical application is addressing pressure injuries—a persistent challenge that impacts patient quality of life and hospital costs.

Traditional preventive measures like frequent patient turning are often inconsistently followed due to the physical demands on nursing staff. Wearable technology sensors now emerge as a game-changing solution, providing continuous monitoring and proactive intervention strategies that traditional methods cannot match.

Key Findings:

1. Real-Time Interventions: Wearable technology sensors offer real-time feedback to ensure patients are turned on schedule. These devices monitor patient movement and positioning, alerting nursing staff immediately if a patient hasn’t been repositioned or if the turn angle isn’t sufficient to relieve pressure. This real-time capability enables prompt corrective actions, directly preventing injuries.

2. Enhanced Compliance: With sensors in place, compliance with turning protocols skyrockets. Studies show increases from as low as 15% to over 80%, reducing the manual effort of tracking patient repositioning.

3. Fewer Injuries: Real-time monitoring has led to a reduction in hospital-acquired pressure injuries (HAPIs) by up to 70%. Patients are safeguarded against severe complications like deep tissue damage.

4. Economic Benefits: Hospitals benefit financially, saving an estimated $6,621 per patient by avoiding pressure injuries. This makes wearable sensors a cost-effective addition to patient care.

5. Improved Teamwork: Sensors encourage better communication and collaboration among nursing staff. They distribute the responsibility of turning patients more evenly, fostering teamwork.

Hospitals Leading the Way

Several hospitals have successfully implemented wearable sensor technology, demonstrating its effectiveness:

Stanford Health Care: A trial in two intensive care units showed a 73% reduction in HAPIs and improved adherence to turning protocols.

A Magnet Hospital in California: Turning compliance jumped from 67% to 95%, and sacrococcygeal HAPIs were reduced by 84.6%.

A Long-Term Acute Care Hospital in New Jersey: Achieved an 85% reduction in sacrococcygeal HAPIs with an average adherence to turning protocols of 87.3%.

A Medical Center in Pennsylvania: Over a year, this facility nearly doubled the national average for turn protocol adherence (90%) and reduced HAPIs by 67%.

These examples highlight how wearable sensors are revolutionizing care across various healthcare settings.

Challenges and Opportunities:

While wearable technology sensors excel in ensuring timely interventions, they don’t automatically improve the quality of turns (e.g., the precise angle needed to relieve pressure). Additionally, nursing teams need adequate training to fully leverage this technology and integrate it seamlessly into care routines.

Real-Time Innovations in Action:

The real-time intervention capability of these sensors is their standout feature. By promptly notifying caregivers, the sensors ensure no patient is left at risk for extended periods. Some devices even provide visual or auditory cues to further reinforce timely actions, making them a proactive tool in patient safety.

The Way Forward:

Wearable sensors are not a stand-alone solution but a vital component of a comprehensive prevention program. When paired with strategies like regular skin assessments and nutritional support, these devices can revolutionize how hospitals address pressure injuries.

Real-time fall prevention is a critical priority for hospitals and nursing homes. Discover how OK2StandUP is transforming patient safety and making a meaningful impact. Visit us at www.ok2standup.com to learn more.

[medsurfernews]

How AI in Medicine is Changing Healthcare for Everyone

Discover how AI in medicine is transforming healthcare! Learn how artificial intelligence helps doctors diagnose diseases, create better treatment plans, and improve patient care in this easy-to-understand article. Have you ever heard of AI? It stands for artificial intelligence, a big part of technology today. AI is like a smart helper for computers that can learn and make decisions. One of the…