The Power of AI in Digital Diagnostics

Artificial intelligence (AI) has surged in popularity.  It has become a favored conversation, whether that be a result of the daily tweets produced by Elon Musk or the wildly admired, user-friendly, AI chatbot known as ChatGPT. However, there is great variance in opinion around AI, most of which is influenced by personal experience and familiarity with the technology. Some are concerned with the power and use of AI, believing it will lead to job displacement and the reduction of brain activity, specifically in critical thinking and memory retention. Other concerns involve privacy, transparency, the fear of sci-fi-like AI surpassing human control, and so on and so forth.

Despite these hesitations, AI has the potential and power to improve many aspects of society when used responsibly and ethically. Evidencing its great promise in healthcare, AI is currently being used to advance our diagnostic capabilities for several diseases and neurodegenerative disorders. Detecting and diagnosing a disease early empo

wers patients to be proactive in their health journey and take control of their future.

AI digital diagnostics is a growing field that uses data analytics and machine learning to develop innovative and non-invasive solutions for diagnosing patients quickly and accurately. It is transforming healthcare by deriving new and significant insights from evolving databases, effectively diagnosing medical conditions, monitoring remote patients, and assisting clinicians in treatment plans. Despite being used for many platforms, much of the excitement surrounding digital diagnostics has focused on the detection of cancers and diseases through medical imaging analysis.

Companies have been developing AI software that can increase the accuracy and precision of abnormality detection in CT scans, MRIs, and X-Rays. In this way, clinicians can avoid human error and create a standardized diagnostic tool that is constantly evolving with real-world data. Companies like Zebra Medical Vision, Path AI, and Paige.AI, are each expanding their pathology AI tools, assisting in cancer tissue analysis and the classification of cancerous cells and tumors. Other companies are focused on the early detection of neurodegenerative disorders like Alzheimer’s and Parkinson’s, using AI to improve visual detection capabilities for subtle changes in brain scans.

These advancements in medical imaging are inspiring and present a remarkable leap forward in healthcare. The breakthroughs, advancements, and overlap of AI and medicine provide great hope for the future of biotech.