Al in Healthcare: What's Trending and What's Upcoming

There couldn't be any better empirical evidence than COVID-19 to prove the transformational impact of Al on healthcare. Had Al not been there, it would be unviable to develop and distribute vaccines at record speed, empower public health officials and front-line workers, support equipment manufacturers, take critical life-saving actions and respond to these abnormal times.

Leading pharmaceutical company Moderna relied on automated processes and Al algorithms to rapidly bring out their covid vaccine nominee for its first clinical trial. From an anticipated 15%chance of success. Al helped the pharmaceutical company lift its success rate to a whopping 50%.placingthe vaccine efficacy levels close to 94.5%. Al's role in healthcare isn't limited to

pharmaceuticals alone.  In this piece, we'll see what Al holds in store for healthcare now and in the coming years.

Top Applications of Al in Healthcare

Over these years, Al has brought more sophistication into what humans do, particularly in segments like healthcare. Here're few Al healthcare transformations currently underway:

1. Allows People to Stay Fit

Al and the Internet of Medical Things(EMT)have helped launch several consumer health applications and self-health monitoring devices such as wireless-enabled wearables, and activity trackers. pedometers, and smartwatches. and other physical fitness monitoring gadgets. These healthcare technology applications encourage people to take proactive measures for maintaining a

healthy lifestyle and allow consumers to be in control of their health and well-being. Similarly, healthcare professionals can rely on Al to better understand what their patients need. With insightful patient data, caregivers can provide the necessary guidance and support, thereby enabling people to stay

healthy.

2. Early Disease Detection

It's well established that the early detection, screening, and treatment of cancer can improve outcomes. American Cancer Society is successfully using the cloud ML engine on Google Cloud Platform to analyze breast cancer images with 12x improved speed.

Advanced deep learning models are being used to

detect Diabetic Retinopathy(DR)during the early and asymptomatic stages. This helps save diabetic patients from the daunting issue of irreversible blindness caused by lesions on the retina. The proliferation of consumer wearables and self-health monitoring devices, combined with Al allows doctors and caregivers to detect potentially life-threatening ailments at more

treatable stages.

3. Medical diagnosis

The market value of global Al in medical diagnostics is estimated to be worth $3988.0 million by 2026. Leading Al platforms such as IBM Watson Health and Google DeepMind Health to enable large several healthcare organizations to unlock massive amounts of clinical data to boost medical

diagnosis.

Combining machine learning and neuroscience, Al helps build powerful neural networks that are capable of imitating human abilities. Watson can review and store huge volumes of medical data scattered across journals, seminars, conferences, treatment case studies, and umpteen other sources.

Al's ability to ingest enormous amounts of data, decipher images, and discover hidden patterns escaping even the most-canny human eye are expected to significantly transform healthcare shortly.

4. Clinical Decision-making

In the past, clinical decision support systems(CDSS)were fed by inaccurate datasets that led healthcare professionals to make flawed assumptions.

Diagnostic errors are one of the top reasons behind higher mortality rates and prolonged hospital stays. Thanks to AI, ML, and the growing volumes of real-time clinical data gathered from numerous healthcare apps and devices. Clinical decision-making is now more precise and efficient with the emergence of Al-powered CDSS.

5. Medical Research and Training

The average cost of bringing pharma products to the market is exploding year over year.ManualR&Dprocesses and the time taken to conceive, design, and conduct clinical trials slow down drug production and increase the costs involved. The latest advances in Al help streamline drug research and discovery and reduces the time to market for new drugs. Researchers can use Al-enabled simulations on their devices to explore the impact of new therapies or medicines, thereby reducing the risk of testing in live conditions.

Most-anticipated Al Innovations in Healthcare!

Real-time data, technological advancements, and innovation are driving the industry forerunners to discover new Al opportunities in healthcare. Here are a few healthcare Al innovations to behold in the coming days.

1. Address the Shortage of Physicians

Google is running experiments to develop transformative Al imaging and diagnostic tools that can assist clinicians and even address the dearth of talent in possibly grueling situations (like the global pandemic). Further research is being held to improve the detection of breast and lung cancer,sight-threatening eye conditions as well as skin diseases.

2. Genomic Analysis

Research proves that 30%of individual health effects are congenital. All of us carry4to5million genetic variants, each of which can influence our health traits. The cost to sequence a genome and poor sequencing data have marred genomic analysis in the past, preventing clinicians from identifying genetic disorders and high-risk diseases at an early stage. Deep neural networks such as DeepVariant exhibits top-class accuracy in analyzing genetic variants and sequencing genome data.

3. Decentralized Clinical Trials

The advent of Al is helping medical researchers and pharma companies worldwide to reduce in-person assessments in clinics. Various digital endpoints, such as smartphones, healthcare software, wearable sensors, EHRS, video conferencing, and numerous physical fitness monitoring devices

are being used to gather data with the patient's consent. This has drastically shifted medical trials from clinics, thereby reducing the risk of compromised immunity, exposure to fatal viruses, respiratory or cardiac malfunction, and other lethal health risks. Decentralized clinical trials allow institutional and federal health boards to review existing processes, implement new regulations quickly, listen to feedback and concerns, take proactive steps and make healthcare more accessible to everyone.

Al is Pivotal to Healthcare New Normal

Necessity commands invention. Over the past two years, we saw how healthcare stakeholders around the globe took efforts to harness Al technologies for discovering new drugs, extending the capability of existing drugs, reducing the time to distribution, screening for COVID-19 symptoms,

supporting clinical decisions, automating hospital operations, and so on. Key U.S. healthcare decision-makers surveyed by Intel stated that their trust in Al in processing medical records has increased by 67%. As Al gets infused into more crucial areas of healthcare, it's important to earn customer confidence

and comfort, and support from various stakeholders in the ecosystem.