AI is gaining popularity within various industries as the technology becomes more advanced and developed. Healthcare is not exempt from the groundbreaking tools AI can introduce into the workplace. As overworked and fatigued health practitioners seek assistance for mundane and tedious work, AI provides a solution so they may focus on the patients in front of them. Below are a few AI developments in Healthcare that are bound to change how our hospitals and healthcare systems operate. As a PR firm immersed in all things healthtech and AI, FischTank PR
AI-enabled brain imaging company icometrix receives CPT III code | MobiHealthNews
“Belgium-based brain imaging AI company icometrix announced it received a CPT III code from the American Medical Association enabling reimbursement of its FDA-cleared brain MRI quantification software.
icometrix AI-supported quantitative brain analysis software provides metrics for cerebral MRI scans to help clinicians diagnose, monitor and evaluate treatment responses in patients with neurological conditions, such as Alzheimer’s disease and dementia, multiple sclerosis, epilepsy, stroke and Parkinson’s disease.
The CPT code will allow qualified healthcare professionals to report their use of icometrix brain imaging AI software as a practice expense.”
“With K Health, Allon Bloch is creating an antidote to “Dr. Google” that ingests your symptoms and medical history via an AI-powered chatbot, sifts through the data of millions of patients and suggests a medical condition based on how you compare to other people like you.
Training machines to imitate the decision-making process of a doctor, while a significant technical feat, is still a far cry from robots taking over medicine. For now, K Health’s technology is essentially functioning as a digital assistant.
The average patient answers around 25 questions from K Health’s chatbot in less than five minutes. The bot itself can’t give medical advice, but it gives patients the option of connecting with a human doctor or nurse, who takes over the chat. On the backend, the human clinician sees a summary and suggestions of potential diagnoses, relieving them of the burden of rushing through intake and entering data into the electronic medical record.
Bloch says more than 3.1 million patients in 48 states have completed a chat with a doctor or nurse visit via K Health. ”
How AI is transforming the future of medical devices and healthcare | Medical Device Network
“AI tools promise to improve efficiency and reduce human error, but how can these algorithms be utilised in the healthcare industry? From early detection to remote monitoring, AI is revolutionising patient care.
….research from Imperial College London found that AI could identify cancerous lesions in mammograms with even greater accuracy than radiologists, which could take immense pressure off radiology departments which could then focus on moving forward with treatment.
AI also has the potential to revolutionise personalised medicine by leveraging predictive analytics. By analysing patient data, including electronic health records, genomic information, lifestyle factors, and treatment outcomes, AI algorithms can provide tailored treatment plans. This enables healthcare providers to make informed decisions about the most effective interventions and medication dosages for individual patients, resulting in improved treatment outcomes and reduced adverse events.”
Google’s medical AI chatbot is already being tested in hospitals | The Verge
“Google’s Med-PaLM 2, an AI tool designed to answer questions about medical information, has been in testing at the Mayo Clinic research hospital, among others, since April…
Google believes its updated model can be particularly helpful in countries with “more limited access to doctors.” Med-PaLM 2 was trained on a curated set of medical expert demonstrations, which Google believes will make it better at healthcare conversations than generalized chatbots like Bard, Bing, and ChatGPT.
…customers testing Med-PaLM 2 will control their data, which will be encrypted, and Google won’t have access to it.
According to Google senior research director Greg Corrado, WSJ says, Med-PaLM 2 is still in its early stages.”
MLCommons launches a new platform to benchmark AI medical models | TechCrunch
“… the healthcare industry is embracing AI enthusiastically. According to a 2020 survey by Optum, 80% of healthcare organizations have an AI strategy in place, while another 15% are planning to launch one.
MLCommons, the engineering consortium focused on building tools for AI industry metrics, has architected a new testing platform called MedPerf. MedPerf, MLCommons says, can evaluate AI models on “diverse real-world medical data” while protecting patient privacy.
MedPerf is designed to be used by the operators and customers of medical models — healthcare organizations — rather than vendors. Hospitals and clinics on the MedPerf platform can assess AI models on demand, employing “federated evaluation” to remotely deploy models and evaluate them on-premises.”
How AI and Automation Are Supporting Clinicians Right Now | HealthTech Magazine
“New or improved artificial intelligence-powered solutions are continuing to make healthcare headlines, especially as industry leaders keep a wary eye on workforce challenges.
AI-powered solutions have been improving patient experiences and outcomes while also supporting clinicians by boosting efficiency. Through the conversation, we learned that AI works best not as a replacement but as a tool to enhance care delivery, whether that’s using it to understand and derive actionable insights from the enormous amounts of data that providers collect or focusing on patient logistics to provide a seamless patient care journey back to life outside the hospital.”
Teladoc Turns to Microsoft’s AI for Healthcare Automation | Barron’s
“Teladoc Health TDOC –3.76% was rising Tuesday after the company said it was expanding a partnership with Microsoft MSFT –1.52% to use the tech giant’s artificial-intelligence technology. It’s a sorely needed boost for the virtual-healthcare company which has fallen out of favor with investors.”
Teladoc expands Microsoft tie-up to document patient visits with AI | Reuters
“Teladoc Health (TDOC.N) is expanding a partnership with Microsoft (MSFT.O) to use the tech giant’s artificial intelligence services to automate clinical documentation on the telehealth platform, lifting its shares 6% in premarket trade.
Teladoc will now also use Microsoft’s Nuance Dragon Ambient eXperience, an AI-powered voice-enabled solution that uses the GPT4 AI service, to automatically document patient encounters for final review and signoff by clinicians.
The use of AI is being actively discussed by hospitals and other healthcare providers that suffered from attrition caused by pandemic fatigue. Industries across the board have been looking at integrating AI into their businesses, after the launch of OpenAI’s ChatGPT in November fueled interest in the breakthrough technology.”
“Northwell Health and its research arm, the Feinstein Institutes for Medical Research, plan to create a new AI-focused research center.
The Scott and Debby Rechler Center for Health Outcomes will support the development of large-scale data models and AI to identify and address healthcare disparities and patient risk.
The health system’s goal is to translate research findings into improved clinical care for millions of patients.”
NVIDIA invests $50m in AI-enabled drug discovery | Pharmaceutical Technology
“NVIDIA has announced a $50m private investment in public equity in tech-focused Recursion Pharmaceuticals to create artificial intelligence (AI)-assisted drug discovery models….accompanied by plans for collaboration to distribute these using NVIDIA cloud services and follows the strategic acquisition of Cyclica and Valence to enhance Recursion’s machine-learning and AI capabilities.
Recursion plans to capitalise on this increased focus on AI and create and commercialise drug discovery models using BioNeMo, NVIDIA’s generative AI in drug discovery cloud service platform. The models will be trained on Recursion proprietary dataset using NVIDIA’s technology and expertise. These models will be used by Recursion internally and will be marketed on BioNeMo.”
***Guest post from FischTank PR interns: Veronica Riga and Bianca Roque***
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