Polycystic Ovary Syndrome (PCOS) is a complex disorder predominantly defined by biochemical hyperandrogenism, oligomenorrhea, anovulation, and in some cases, the presence of ovarian microcysts. This endocrinopathy inhibits follicle development causing symptoms like obesity, acne, infertility, hirsutism. Artificial Intelligence (AI) has revolutionized healthcare, contributing remarkably to science engineering domains. Therefore, we have demonstrated an AI approach using heterogeneous Machine...

Acute lymphoblastic leukemia (ALL) is a rare type of blood cancer caused due to the overproduction lymphocytes by bone marrow in human body. It one common types children, which has fair chance being cured. However, this may even occur adults, and chances cure are slim if diagnosed at later stage. To aid early detection deadly disease, an intelligent method screen white cells proposed study. The deep learning algorithm uses microscopic images smears as input data. This implemented with...

Coronavirus 2 (SARS-CoV-2), often known by the name COVID-19, is a type of acute respiratory syndrome that has had significant influence on both economy and health infrastructure worldwide. This novel virus diagnosed utilising conventional method as RT-PCR (Reverse Transcription Polymerase Chain Reaction) test. approach, however, produces lot false-negative erroneous outcomes. According to recent studies, COVID-19 can also be using X-rays, CT scans, blood tests cough sounds. In this article,...

Malaria poses a global health problem every day, as it affects millions of lives all over the world. A traditional diagnosis requires manual inspection blood smears from patient under microscope to check for malaria parasite. This is often time consuming and subject error. Thus, automated detection classification type stage progression can provide quicker more accurate patients. In this research, we used two object models, YOLOv5 scaled YOLOv4, classify We also different datasets parasite...

COVID-19 is a respiratory disease caused by the SARS-CoV-2 contagion, severely disrupted healthcare infrastructure. Various countries have developed vaccines that effectively prevented severe symptoms virus to certain extent. However, small section of people continues perish. Artificial intelligence advances revolutionized diagnosis and prognosis In this study, we predict severity using heterogenous Machine Learning Deep algorithms considering clinical markers, vital signs, other critical...

As we set into the second half of 2022, world is still recovering from two-year COVID-19 pandemic. However, over past three months, outbreak Monkeypox Virus (MPV) has led to fifty-two thousand confirmed cases and one hundred deaths. This caused World Health Organisation declare a Public Emergency International Concern (PHEIC). If this worsens, could be looking at virus causing next global affects human skin, symptoms can captured with regular imaging. Large samples these images used as...

The coronavirus pandemic emerged in early 2020 and turned out to be deadly, killing a vast number of people all around the world. Fortunately, vaccines have been discovered, they seem effectual controlling severe prognosis induced by virus. reverse transcription-polymerase chain reaction (RT-PCR) test is current golden standard for diagnosing different infectious diseases, including COVID-19; however, it not always accurate. Therefore, extremely crucial find an alternative diagnosis method...

Osteoporosis is a metabolic bone condition that occurs when mineral density and mass decrease. This makes the bones weak brittle. The disorder often undiagnosed untreated due to its asymptomatic nature until manifestation of fracture. Machine Learning (ML) extensively used in diverse healthcare domains analyze precise outcomes, provide timely risk scores, allocate resources. Hence, we have designed multiple heterogeneous machine-learning frameworks predict Osteoporosis. An open-source...

The primary objective of this research is to create a reliable technique determine whether patient has glioma, specific kind brain tumour, by examining various diagnostic markers, using variety machine learning as well deep approaches, and involving XAI (explainable artificial intelligence) methods. Through the integration data, including medical records, genetic profiles, algorithms have ability predict how each individual will react different interventions. To guarantee regulatory...

Objective The persistent spread of SARS-CoV-2 makes diagnosis challenging because COVID-19 symptoms are hard to differentiate from those other respiratory illnesses. reverse transcription-polymerase chain reaction test is the current golden standard for diagnosing various diseases, including COVID-19. However, this diagnostic method prone erroneous and false negative results (10% -15%). Therefore, finding an alternative technique validate RT-PCR paramount. Artificial intelligence (AI)...

The COVID-19 pandemic has caused more than 200 million infected cases and 4 deaths across the world. triggered a massive epidemic, with significant effect on health lives of many people worldwide. Early detection this disease is very important for maintaining social well-being. Generally, RT-PCR test diagnosis method used COVID-19, yet it not only reliable diagnostic tool. In study, we discuss image-based modalities coronavirus utilizing Deep Learning methodology, which one most innovative...

Humans have the ability to portray different expressions contrary emotional state of mind. Therefore, it is difficult judge human's real simply by judging physical appearance. Although researchers are working on facial analysis, voice recognition, gesture recognition accuracy levels such analysis much less and results not reliable. Classifying human emotions with machine learning models extracting discrete wavelet features Electroencephalogram (EEG) proposed. The EEG data from Database for...

Monkeypox (Mpox) resurfaced in January 2022 as a rare zoonotic disease that spreads to many countries. Though the virus is not dangerous COVID-19, it has still caused fatalities worldwide. The Mpox when people are close contact with infected individuals. Among symptoms, also causes skin rashes, and medical imaging can be used diagnose successfully. However, other diseases such smallpox, chickenpox, measles cause similar rashes. Hence, artificial intelligence (AI) machine learning (ML) highly...

Gestational diabetes is characterized by hyperglycemia diagnosed during pregnancy. High blood sugar levels are likely to affect both the mother and child. This disease frequently goes undiagnosed due its fewer prominent symptoms, resulting in severe unmanaged hyperglycemia, obesity, childbirth complications overt diabetes. Artificial Intelligence increasingly deployed medical field, revolutionizing automating data processing decision-making. Machine learning a subset of artificial...

Dengue fever is a rapidly increasing mosquito-borne ailment spread by the virus DENV in tropics and subtropics worldwide. It significant public health problem accounts for many deaths globally. Implementing more effective methods that can accurately detect dengue cases challenging. The theme of this digital pathology-associated research automatic detection from peripheral blood smears (PBS) employing deep learning (DL) techniques. In recent years, DL has been significantly employed automated...

The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide. This gynecological carcinoma causes many deaths, even though it can be treated by removing malignant tissues at a preliminary stage. In developing countries, patients do not undertake medical examinations due to the lack of awareness, hospital resources and high testing costs. Hence, vital design computer aided diagnostic method which screen patients. this research, we predict probability risk contracting...

Abstract Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2), colloquially known as surfaced in late 2019 and is an extremely dangerous disease. RT-PCR (Reverse transcription Polymerase Chain Reaction) tests are extensively used COVID-19 diagnosis. However, they prone to a lot of false negatives erroneous results. Hence, alternate methods being researched discovered for the detection this infectious We diagnose forecast with help routine blood Artificial Intelligence paper. The...

Stroke occurs when a brain’s blood artery ruptures or the supply is interrupted. Due to rupture obstruction, tissues cannot receive enough and oxygen. common cause of mortality among older people. Hence, loss life severe brain damage can be avoided if stroke recognized diagnosed early. Healthcare professionals discover solutions more quickly accurately using artificial intelligence (AI) machine learning (ML). As result, we have shown how predict in patients heterogeneous classifiers...

Dengue fever, also known as break-bone can be life-threatening. Caused by DENV, an RNA virus from the Flaviviridae family, dengue is currently a globally important public health problem. The clinical methods available for diagnosis require skilled supervision. They are manual, time-consuming, labor-intensive, and not affordable to common people. This paper describes method that support clinicians during diagnosis. It proposed automate peripheral blood smear (PBS) examination using Artificial...

Social anxiety disorder (SAD), also known as social phobia, is a psychological condition in which person has persistent and overwhelming fear of being negatively judged or observed by other individuals. This can affect them at work, relationships activities. The intricate combination several environmental biological factors the reason for onset this mental condition. SAD diagnosed using test called "Diagnostic Statistical Manual Mental Health Disorders (DSM-5), based on physical, emotional...