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 a 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.
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