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How Artificial Intelligence Can Improve Coding Audits

In this contributed article, Jacob Wilkinson, Director, Product Management at VisiQuate, takes a look at how medical coding audits are complex, time-consuming, and costly processes that historically have required significant investment of manual resources to complete, but, more recently, advances in artificial intelligence have made audits more efficient, accurate, and cost-effective. 

How Can Dentistry Benefit from AI? It’s All in the Data

In this special guest feature, Florian Hillen, founder and CEO, VideaHealth, points out that Like many other industries within the healthcare ecosystem, dentistry is beginning to adopt artificial intelligence (AI) solutions to improve patient care, lower costs, and streamline workflows and care delivery. While the dental profession is no stranger to cutting-edge technology, AI represents such a revolutionary change that few organizations have the knowledge and skill sets to implement an effective strategy.

Using Advanced Analytics to Address Patient Risk and Deliver Value-based Care

In this contributed article, Michael Dulin, MD, PhD, Chief Medical Officer, Gray Matter Analytics, suggests that to improve health outcomes and lower cost, the U.S. healthcare system must abandon fee for service models and provide comprehensive, proactive value-based care (VBC). High-quality data and advanced analytics that produce actionable insights into patients’ medical and social needs are an essential building block for this transition. 

Doctors Find Artificial Intelligence is the Best Prescription for Expert Assistance and Patient Care

In this special guest feature, Amir Atai, Ph.D. is Co-Founder and CEO of Sway AI, examines how AI is changing healthcare by improving the efficiency and quality of care on many fronts, starting with administration. The article also does a deep dive into the challenges of using AI in healthcare and how no-code AI and machine learning are automating mundane tasks and adding new diagnostic and treatment solutions to make doctors and nurses more efficient.

Reforming Prior Authorization with AI and Machine Learning

In this contributed article, Niall O’Connor, CTO at Cohere Health, discusses how the application of AI and ML to the onerous prior authorization (PA) process can relieve both physicians and health plans of the repetitive, manual administrative work involved in submitting and reviewing these requests. Most importantly, these intelligent technologies transform PA from a largely bureaucratic exercise into a process that is capable of ensuring that patients receive the highest quality of care, as quickly and painlessly as possible.

How to Overcome Patient Obstacles with Conversational Intelligence

In this special guest feature, Amy Brown, Founder and CEO of Authenticx, discusses speech analytics in healthcare. Organizations must listen and learn from patients’ voices to gather insights, customize their approach and facilitate change and growth.

Active Monitoring and Statistical Prediction of Indoor Radon Concentration Can Reduce the Risk of Lung Cancer

In this contributed article, Insoo Park, CEO of Ecosense Inc., discusses how scientists are turning to statistical prediction methodologies for help with preventing radon-related deaths. Exposure to radon is the first leading cause of lung cancer among non-smokers According to the EPA, radon-related lung cancer deaths total 21,000 per year in the US alone.

How AI Unlocks The Secrets Behind Sports Rehab and CBD

In this contributed article, Scott Mazza, co-founder and COO of Vitality CBD, discusses groundbreaking discoveries in sports rehab, specifically how big data is the differentiator – ML algorithms and AI-powered tools will be invaluable for trawling through scientific literature to find relevant studies as well as combining different datasets.

New Streamlined Statistical Method Provides Improved Pattern Detection and Risk Prediction for Disease

Researchers from the Renaissance Computing Institute (RENCI) at UNC-Chapel Hill, Perspectrix, the UNC School of Medicine, and the WVU Rockefeller Neuroscience Institute have collaborated to develop a new method for finding patterns in data which arguably surpasses the performance of a generally accepted “gold standard.”

AI and Robotics Uncover Hidden Signatures of Parkinson’s Disease

A study published in Nature Communications unveils a new platform for discovering cellular signatures of disease that integrates robotic systems for studying  patient cells with artificial intelligence methods for image analysis. Using their automated cell culture  platform, scientists at the NYSCF Research Institute collaborated with Google Research to  successfully identify new cellular hallmarks of Parkinson’s disease by creating and profiling over a  million images of skin cells from a cohort of 91 patients and healthy controls.