Achievements in Disease Diagnosis through Tongue Imaging
Using image processing strategies, they properly identified the diseases in 94 percent of cases, compared to lab results. A voicemail specifying the tongue color and disease was likewise sent via a text message to the client or chosen health provider.
MTU and UniSA Adjunct Associate Professor Ali Al-Naji and his associates have actually reviewed the worldwide advances in computer-aided disease medical diagnosis, based upon tongue color, in a new paper in AIP Conference Proceedings.
Technological Innovations and Future Potential
” Thousands of years earlier, Chinese medicine originated the practice of taking a look at the tongue to identify health problem,” Assoc Prof Al-Naji states.
” Conventional medication has long backed this technique, showing that the color, shape, and thickness of the tongue can expose indications of diabetes, liver issues, circulatory and gastrointestinal issues, in addition to blood and cardiovascular disease.
” Taking this an action even more, new approaches for diagnosing disease from the tongues look are now being done remotely using artificial intelligence and a cam– even a mobile phone.
” Computerised tongue analysis is extremely precise and might help detect illness remotely in a safe, effective, simple, pain-free, and cost-efficient way. This is particularly pertinent in the wake of an international pandemic like COVID, where access to health centers can be compromised.”
Diabetes clients usually have a yellow tongue, cancer patients a purple tongue with a thick oily finish, and acute stroke patients present with a red tongue that is typically misaligned.
A 2022 study in Ukraine evaluating tongue pictures of 135 COVID clients via a mobile phone showed that 64% of patients with a mild infection had a pale pink tongue, 62% of clients with a moderate infection had a red tongue, and 99% of clients with a severe COVID infection had a dark red tongue.
Previous research studies utilizing tongue diagnostic systems have actually precisely detected appendicitis, thyroid, and diabetes disease.
” It is possible to diagnose with 80% precision more than 10 diseases that cause a visible modification in tongue color. In our research study, we accomplished a 94% accuracy with 3 diseases, so the capacity is there to tweak this research even further,” Assoc Prof Al-Naji says.
Reference: “Computer-aided diseases diagnosis system based on tongue color analysis: An evaluation” by Abdulghafor Khudhaer Abdullah, Saleem Lateef Mohammed and Ali Al-Naji, 8 September 2023, AIP Conference Proceedings.DOI: 10.1063/ 5.0154231.
Chinese herbalists have, for 2000 years, diagnosed diseases by analyzing the human tongue. This approach is now being improved by synthetic intelligence and maker learning innovations. A collaborative study between Australian and iraqi researchers showed that a computer-assisted tongue diagnostic system could properly recognize illness like diabetes and kidney failure in 94% of cases. Such diagnostic techniques, which typically utilize easy devices like smartphones, provide an appealing, economical option for remote health monitoring, specifically in pandemic-restricted circumstances.
Chinese herbalists have, for 2000 years, identified diseases by taking a look at the human tongue. This approach is now being improved by artificial intelligence and device learning innovations. A collaborative study between Australian and iraqi scientists demonstrated that a computer-assisted tongue diagnostic system could precisely identify illness like diabetes and kidney failure in 94% of cases. Such diagnostic approaches, which typically utilize basic gadgets like smart devices, offer a promising, cost-efficient alternative for remote health tracking, particularly in pandemic-restricted scenarios.
A 2000-year-old practice by Chinese herbalists– taking a look at the human tongue for indications of disease– is now being welcomed by computer scientists utilizing artificial intelligence and artificial intelligence.
Tongue diagnostic systems are fast getting traction due to an increase in remote health monitoring worldwide, and a study by Iraqi and Australian researchers supplies more proof of the increasing accuracy of this innovation to find illness.
Engineers from Middle Technical University (MTU) in Baghdad and the University of South Australia (UniSA) utilized a USB web electronic camera and computer to record tongue images from 50 clients with diabetes, renal failure, and anemia, comparing colors with a database of 9000 tongue images.
