Forecasting Healthcare Diagnosis Through Image Processing in Artificial Intelligence
Last year in Q1 saw an increase in AI for Healthcare by VC investment with $320 million invested in 18 deals. Artificial Intelligence (AI) is one of the most promising fields of health innovation, mainly in medical imaging.
Understanding the methods of conventional diagnosis pre-AI phase was dependent solely on the patient’s signs, symptoms and medical history rather than on laboratory or medical imaging examination.
The benefits of AI image processed results for a faster diagnosis are tested and in use all over. AI uses advanced algorithms to ‘learn’ characteristics from a big quantity of health care data and then use the analysis generated to assist in clinical practice. Learning and self-correcting skills are enhanced with feedback-based precision. AI system can help physicians by offering up-to-date medical data from publications, textbooks, and clinical procedures.
Another way AI can help clinicians is by offering the previous diagnosis of circumstances that could lead to the premature death of patients. This is particularly helpful when it comes to diagnosing cardiovascular illnesses that kill around 17.9 million individuals every year–adding up to about 31 percent of all fatalities worldwide.
Products you must know about:
1. Densitas
Densitas is comprised of a dedicated team with specialized expertise in machine learning, medical image analysis, informatics, and clinical care. Value-based care through advanced healthcare analytics powered by A.I. at the patient, clinic, and system levels. They are single-mindedly focused on developing products aimed at improving clinical outcomes, mammography quality, and appropriateness of care.
2. Butterfly Network
The Butterfly is about the size of an electric shaver. It is battery-powered and contains microchips rather than piezoelectric crystals, so it usually won’t break if dropped. The Connecticut company that makes it, the profitable target customers are doctors and nurses who can afford a $2,000 device that fits in a coat pocket and is as portable as a stethoscope.
3. Blackford
Blackford’s initial product targeted on sanctioning instant comparison of multiple medical image studies with one click. The new methodology streamlines the technology adoption method for alternative solutions. Healthcare professionals worldwide quickly access and manage medical image analysis applications and AI algorithms that add clinical value.
4. AiCure
AiCure is an AI and advanced data analytics company targeting the healthcare industry. Their proprietary intelligent software captures and understands video, audio, and behavioral data to establish the link between patients, disease, and treatment.
5. PereDoc
Peredoc in China uses AI technology represented by deep learning, combined with massive medical data, R&D, medical image-assisted diagnosis and recognition system. This elevates the intelligent auxiliary medical diagnosis platform.
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