// 30 Best Of AI : 2022

1// AI platform helps NUHS ease hospital bed crunch by predicting availability up to 2 weeks in advance:?As part of efforts to ease the hospital bed crunch situation, the National University Hospital System (NUHS) has developed an artificial intelligence (AI) platform that can predict the availability of beds as much as two weeks in advance. To read more, click?here

Source//?The StraightsTimes

2//A Mayo Clinic AI study finds early adopters of artificial intelligence technology on the frontlines of healthcare have posted higher rates of successfully diagnosing certain heart conditions, even if those clinicians have less experience in dealing with complex patients, according to researchers at the Mayo Clinic.

Source // Fiercebiotech

3// Instagram?photos reveal predictive markers of depression: Using Instagram data from 166 individuals, we applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted from 43,950 participant Instagram photos, using color analysis, metadata components, and algorithmic face detection. Resulting models outperformed general practitioners’ average unassisted diagnostic success rate for depression

Source // epjdatascience

4// Around 5.5-7 million adults worldwide pass away every year from causes that are both avoidable and easily prevented. Sepsis affects 1.7 million adults in the US alone every year, and 270,000 of them pass away (CDC).

5// These AI-powered glasses transcribe speech in real time.?Source: World Economic Forum

6// Doctors using AI catch breast cancer more often than either does alone:?A new study shows that artificial intelligence can also handle more than half of scans automatically, dramatically reducing radiologists’ workloads. To know more, read?here

7// The Algorithmically Underserved Need Our Attention: Three patient populations are underrepresented in the AI models currently being developed. There are several practical solutions to the problem. To read more, click?here?Source // Mayo Clinic Platform

8//The AI Health Care Dilemma: Patient-centered care?is?a pillar of the American health care system. But, as the U.S. population grows and ages, providers?need?new ways to manage ever-increasing caseloads. Artificial intelligence (AI)?offers?an opportunity to improve the efficiency of health care administration, disease diagnosis and detection, drug development, and more. Source// The Regulatory Review

9// Using AI to Improve Electronic Health Record:?Electronic health record systems for large, integrated healthcare delivery networks today are often viewed as monolithic, inflexible, difficult to use and costly to configure.?As delivery networks grow and deploy broad enterprise?EHR?platforms, the challenge of making them help rather than hinder clinicians is increasing. A promising approach is to use AI to make existing?EHR?systems more flexible and intelligent. Some delivery networks are making strides in this direction, using AI to assist with data extraction from free text, clinical documentation and data entry, and clinical decision support. Ultimately, AI should help doctors tailor?EHRs to their specific needs and work styles making them easier to use and more valuable in the care process. That could help reduce clinician burnout and improve patient outcomes. To read more, follow the?link?// Source: Harvard Business Review

10// How natural language processing can help relieve the healthcare worker shortage:?Across the world, fears are rising about a lack of nurses, doctors, and healthcare technicians in the coming years. The World Health Organization predicts a shortage of?18 million health workers?by 2030.To read more, follow the link?// Source: World Economic Forum

11// Artificial Intelligence and Health Care: What Premeds Should Know:?With the advent of electronic medical records and wearable technology, data is becoming exponentially abundant in health care. Artificial intelligence has the potential to reshape medicine.For example, AI can be used to aid doctors with their clinical decisions, find new tumor types in large research data sets, enhance the accuracy of diagnostic tests and improve hospital operations. The applications of AI are endless. To read more, follow the?link?// Source: USNews

12// AI study finds 50% of patient notes duplicated: Investigators used natural language processing and deep learning to explore the prevalence of patient information duplicated from prior notes in medical records. To read more, follow the?link?// Source: HealthcareITNews

13//?GE Healthcare?tops List with Highest Number of AI-Enabled Device Authorizations, More Than Any Other Medical Technology Company: On a recently updated FDA list of artificial intelligence (AI) enabled medical devices, GE Healthcare had the highest number of authorizations, with 42 listed 510(k) clearances to date, in the United States.

14// How AI is making healthcare more affordable:?Artificial intelligence is transforming how we practice medicine in a wide range of domains, including?radiology,?pathology,?dermatology,?surgery?and infertility. AI algorithms are rapidly advancing to optimize processes such as image analysis, pattern recognition and data-based assessments, improving clinical workflows and the early detection and treatment of diseases. To read more, follow the link // Source: Forbes

15// A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment:?Despite considerable progress in maternal healthcare, maternal and perinatal deaths remain high in low-to-middle income countries. Fetal ultrasound is an important component of antenatal care, but shortage of adequately trained healthcare workers has limited its adoption. To read more, follow the link // Source: Nature

16// AI in biopharma research: A time to focus and scale:?By focusing on specific scientific and operational pain points and fully integrating AI into research workflows, biopharma companies can deliver greater patient impact and significant value. To read more, follow the?link?// Source: McKinsey

17// How AI And Machine Learning Will Impact The Future Of Healthcare:?One of the most intriguing work from?Bernard Marr. Follow the link to read the full work?

18//Artificial intelligence could soon diagnose illness based on the sound of your voice:?Voices offer lots of information. Turns out, they can even help diagnose an illness — and researchers are working on an app for that. The National Institutes of Health is funding a massive research project to collect voice data and develop an AI that could diagnose people based on their speech. To read more, follow the?link?// Source: npr

19// Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices:?As technology continues to advance every aspect of health care, software incorporating artificial intelligence (AI), and specifically the subset of AI known as machine learning (ML), has become an important part of an increasing number of medical devices. One of the greatest potential benefits of ML resides in its ability to create new and important insights from the vast amount of data generated during the delivery of health care every day. To read more, follow the?link?// Source: FDA

20// How Healthcare Providers Can Improve Patient Experiences With RPA, AI And Digital Workflows:?Currently, the healthcare industry is at the confluence of mounting operating costs and a growing volume of patients, with an urgent need to provide positive patient experiences while complying with stringent regulations. With a deluge of data and a plethora of repetitive, manual processes that require a need for accuracy, automating processes may be just what the doctor ordered for this industry. // To follow the full article, click?here?Source:?Forbes

21// The challenges of verifying AI for healthcare:?There is a lot of excitement in healthcare about the use of artificial intelligence (AI) to improve clinical decision-making.Pioneered by the likes of IBM Watson for Healthcare and DeepMinds Healthcare, AI promises to help specialists diagnose patients more accurately. Two years ago, McKinsey co-produced a report with the?European Union’s EIT Health?to explore the potential for AI in healthcare. Among the key opportunities the report’s authors found were in healthcare operations: diagnostics, clinical decision support, triage and diagnosis, care delivery, chronic care management and self-care. // To read more, follow the?link?. Source: Computer Weekly

22// Nvidia expands edge AI tech for healthcare and robotics:?At the?Nvidia GTC conference?today, the company announced a series of new hardware and software initiatives that span multiple industries, all designed to help accelerate the performance, capabilities and adoption of AI at the edge. Among the announcements is the launch of the Nvidia IGX platform — targeted at both industrial and medical use cases. The new platform includes the IGX Orin hardware, which is a small form factor AI optimized computing system. In addition to the new IGX Platform, Nvidia also announced the Jetson Orin Nano, as a high-powered small form factor device for?edge AI?in robotics. // To read more, click?here

23// Does AI have an impact on clinical decision making?:?A study in Sydney will assess the impact of annalise.ai's chest x-ray platform on diagnostic accuracy and patient management.A new Digital Health Cooperative Research Centre project will study the impact of an AI-powered diagnostic support solution on clinicians' decision-making and patient management at the point of care. // To read more, click?here?Source: HealthcareITNews

24// Mayo Clinic, nference Expand Artificial Intelligence Collaboration:?Mayo Clinic is expanding its 12-year artificial intelligence-based collaboration with software company nference, aiming to increase access to de-identified EHR data. // To read more, click?here

25//We’re Training AI Twice as Fast This Year as Last:?According to the best measures we’ve got, a set of benchmarks called?MLPerf,?machine-learning systems can be trained nearly twice as quickly as they could last year. To read the full article click // Source:?IEEE

26// Adding AI To Healthcare Will Reduce Overhead Costs For Everyone, Says Blue Shield of CA CIO: In this interview, Forbes' Diane Brady discusses the healthcare landscape with Lisa Davis, CIO of Blue Shield of California. Source:?Forbes

27//10 Best Artificial Intelligence Companies that are Advancing the Healthcare Industry: These artificial intelligence companies are redefining how healthcare practitioners operate and conduct treatments

28// Artificial Intelligence Edges Closer to the Clinic:?the beginning of the COVID-19 pandemic presented a huge challenge to healthcare workers. Doctors struggled to predict how different patients would fare under treatment against the novel SARS-CoV-2 virus. Deciding how to triage medical resources when presented with very little information took a mental and physical toll on caregivers as the pandemic progressed. Source:PNNL

29//AI Startup Speeds Healthcare Innovations To Save Lives :?How long does it take to get FDA approval for a heart-failure drug??It sounds like a simple question, but without the help of an artificial?intelligence (AI) powered MedTech?cloud-based platform, it could take months and millions of dollars to find out. Source:Forbes

30// Researchers Call for ‘Reimbursement Framework’ for Healthcare AI :?Researchers argue that the responsible adoption of artificial intelligence in healthcare requires financial incentives be implemented to ensure high quality care and health equity, and to mitigate potential bias. Source:HealthITAnalytics