In today’s world it is quite possible that there could be some kind of mistakes during diagnostics and patient can get wrong treatment, looking at the lengthy working hours and and stress level of medical professionals. and on the other side people avoid long term medications, miss appointments of health checkups due to their busy schedules and working days. But now in this digital world there is no need to worry as AI has made it simple, you just need to spend a couple of minutes on AI tools for your diagnosis and you will get instant reports.
Artificial intelligence- AI, is here for your rescue.
According to the latest report of PwC AI will contribute an additional 15.7 trillion to the world economy by 2030 and the greatest impact will be in the field of healthcare.
The main benefits of AI in healthcare include its ability to provide highly accurate predictions and assist in decision-making processes, thereby reducing human errors. AI enables better data analysis, allowing for the efficient examination of large quantities of data. Additionally, its 24×7 availability ensures continuous operation, overcoming the limitations of human efficiency, which is typically constrained to a few hours per day.
Industry Leaders implementing AI in Medical domain
AI is actually helping healthcare organizations by implementing cognitive intelligence and technology to unwind and analyze a huge amount of medical records and to perform any power diagnosis.
There are Many startup companies that perform AI diagnosis like Verily (California), Spring Health (New York), Tempus (Chicago), Path AI (Boston) to name a few. These companies have already brought change in peoples life’s. According to Markets and Markets research it is predicted that AI in healthcare will head to $148.4 billion by 2029 till today it was $20.9 billion.
Here are Top 3 AI use case on which many companies are working and doing research and Development.
AI in Skin Diagnostics: Revolutionizing Dermatology
Artificial Intelligence (AI) is transforming the field of dermatology by enabling faster, more accurate, and accessible skin diagnostics. Advanced AI algorithms can now analyze skin images to detect conditions such as acne, eczema, psoriasis, and even skin cancer with high precision.
One of the most notable innovations is the use of deep learning models to identify early signs of melanoma and other skin cancers, often outperforming dermatologists in accuracy. Apps and devices powered by AI allow users to take images of their skin lesions and receive real-time feedback about potential concerns.
Detection of Arrhythmias with AI: Advancing Cardiac Care
It is a condition that can increase the risk of stroke,
heart failure, and other heart related diseases. It needs continuous ECG
monitoring to provide data about heart rate and rhythm.
Artificial Intelligence (AI) is revolutionizing the detection and management of arrhythmias, offering faster and more accurate diagnoses. Arrhythmias, irregular heart rhythms, can range from harmless to life-threatening conditions like atrial fibrillation (AFib) or ventricular tachycardia. Early detection is critical for effective treatment and reducing the risk of severe outcomes such as stroke or heart failure.
AI-powered systems use machine learning algorithms to analyze large volumes of electrocardiogram (ECG) data with remarkable precision. These systems are capable of identifying subtle patterns and anomalies that may be missed by human interpretation. AI tools like wearable devices, including smartwatches and chest monitors, provide continuous monitoring and real-time alerts for arrhythmic events.
The Kardia Mobile card ECG recorder is an AI-based personal ECG recorder. It is very slim and
lightweight, just like a credit card. You can carry it with you everywhere, and
the recording of ECG grades can be done within seconds.
Stroke Detection with AI: A Game-Changer in Emergency Care
Artificial Intelligence (AI) is transforming stroke detection, enabling faster and more accurate diagnoses that save lives and improve outcomes. Strokes, caused by a lack of blood flow (ischemic) or bleeding (hemorrhagic) in the brain, require rapid diagnosis and treatment to minimize damage. Traditional methods often depend on time-consuming imaging analysis, but AI is streamlining this process.
AI-powered algorithms can analyze brain scans, such as CT or MRI images, in seconds, identifying signs of stroke and pinpointing the affected areas. These systems can differentiate between ischemic and hemorrhagic strokes with high accuracy, enabling physicians to decide on the most appropriate treatment, such as clot removal or medication.
Advanced platforms like Viz.ai and RapidAI use AI to detect blockages, assess tissue viability, and alert specialists in real-time, ensuring prompt care even before the patient arrives at the hospital. Additionally, AI tools integrated into wearable devices and mobile apps monitor symptoms like speech slurring or facial asymmetry, allowing early stroke detection outside clinical settings.
By reducing diagnostic time and improving precision, AI is revolutionizing stroke care. Continued advancements in AI-driven tools promise to enhance accessibility, reduce treatment delays, and ultimately save more lives.
Contribuitions- Prerna Chougule.
