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...

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...

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...

Abstract As per world health organization, Anemia is a most prevalent blood disorder all over the world. Reduced number of Red Blood Cells or decrease in healthy red cells considered as Anemia. This condition also leads to oxygen carrying capacity blood. The main goal this research develop dependable method for diagnosing Aplastic and Iron Deficiency by examining test attributes. today, there are no studies which use Interpretable Artificial Intelligence perform above differential diagnosis....

Depression is a mental disorder that relates to state of sadness and dejection. It also affects the emotional physical person. Currently, there are no standard diagnostic tests for depression able produce conclusive results more over symptoms hard diagnose. A lot people who suffering from unaware their illness. The electroencephalographic (EEG) signals can be used detect alterations in brain’s electrochemical potential. present work based on automated classification normal EEG signals. Thus,...

Coronary Artery Disease (CAD) is one of the hazardous heart disease which results in angina, Myocardial Infarction (MI) and Sudden Cardiac Death (SCD). CAD a cardiac disorder plague develops interior wall arteries resulting blockage blood reaching to muscles. Electrocardiogram (ECG) signal represents depolarisation repolarisation regulated at surface chest. The minute variations amplitude duration ECG wave specifies different pathological conditions are tedious interpret visually. Hence...

Abstract Recently, a mix of traditional and modern approaches have been proposed to detect brain abnormalities using bio‐signal/bio‐image‐assisted methods. In hospitals, most the initial/scheduled assessments consider bio‐signal‐based appraisal, due its non‐invasive nature low cost. Further, bio‐signal scans can be recorded single/multi‐channel electrode setup, which is further evaluated by an experienced doctor, as well computer software, identify severity abnormality. this paper, we...

Abstract Dengue fever infection is a global health concern. Early disease detection crucial for averting complications and fatality. Characteristic morphological changes in lymphocytes can be observed on peripheral blood smear (PBS) cases of dengue infection. In this research, we have developed automated computer vision models PBS images using two approaches: wavelet scattering transform (WST)‐based feature engineering classification You Only Look Once (YOLO)‐based deep transfer learning...

Depression is a mental disorder that affects emotional and physical state of person. It extreme sadness dejection. The electroencephalographic (EEG) signals can be used to detect the alterations in the brain’s electrochemical potential. highly irregular complex EEG signal variations determined by different processing tools. present work based on automated classification normal depression signals. discrete cosine transform (DCT) decomposes into frequency sub-bands. Nonlinear methods such as...

Artificial Intelligence has been a boon to healthcare for quite long time. While AI the potential assist in several domains, blood smear analysis challenges that need be addressed ensure accuracy, interpretability, safety, and ethical use of this context. Proper validation, overlapping cells, data availability, addressing biases, regulatory compliance, workflow integration, considerations are important aspects must carefully considered when using analysis. One lesser-tackled problems through...

Abstract Dengue is a vector‐borne disease that highly endemic in countries located tropical regions. It can cause severe complications and even lead to death the case of delayed diagnosis. Detection dengue done by manually examining platelets lymphocytes Leishman's stained peripheral blood smear (PBS) images. PBS examination considered gold standard for diagnosing various haematological disorders. However, manual analysis labour‐intensive, tedious, time‐consuming, requiring skilled...

A digital microscope plays a crucial role in the better and faster diagnosis of an abnormality using various techniques. There has been significant development this domain pathology. Sickle cell disease (SCD) is genetic disorder that affects hemoglobin red blood cells. The traditional method for diagnosing sickle involves preparing glass slide viewing eyepiece manual microscope. entire process thus becomes very tedious time consuming. This paper proposes semi-automated system can capture...

Upper limb rehabilitation concentrates on restoring the operations of arms, hands and fingers. This integrated measuring device is in form a glove which records force exerted for fine motor activities hence indicates to physiotherapist who guides patient regulate as per need thus avoid applying unwanted strain. Though this has not yet been fabricated India, it developed abroad by NexGen [1] TekScan [2]. The block diagram includes sensing signal followed processing passing processed into ADC...

SARS-CoV-2 and Influenza-A can present similar symptoms. Computer-aided diagnosis help facilitate screening for the two conditions, may be especially relevant useful in current COVID-19 pandemic because seasonal infection still occur. We have developed a novel text-based classification model discriminating between conditions using protein sequences of varying lengths. downloaded viral with lengths (all 100 or greater) from NCBI database randomly selected 16,901 19,523 to form two-class study...

Smartphones, today, come equipped with a wide variety of sensors and high-speed processors that can capture, process, store, communicate different types data. Coupled their ubiquity in recent years, these devices show potential as practical portable healthcare monitors are both cost-effective accessible. To this end, study focuses on examining the feasibility smartphones estimating heart rate (HR), using video recordings users’ fingerprints. The proposed methodology involves two-stage...

The counting and analysis of blood cells is the first step in detecting diseases such as COVID-19, dengue, leukemia. In primary health care centers, platelet usually performed manually from peripheral smears, which labor-intensive requires an experienced laboratory technician, invites error. complete count test carried out using automatic hematology analyzer with development technology. However, this expensive method to cells. This paper introduces efficient cost-effective computer vision...

Neurological and Psychological disorders are affecting large number of people worldwide disturbing their personality, behavior day to routine. occur due abnormalities in the central and the peripheral nervous system whereas damage or improper functioning brain causes psychological disorders. Early non-invasive detection these can be achieved using electroencephalograms (EEG). The visual interpretation information present EEG signals subjective prone inter intra observer variability....

Epilepsy is a chronic illness of the brain characterized by recurring seizure attacks. Electroencephalogram (EEG) can record electrical activity and extensively used to analyze diagnose epileptic seizures. However, EEG signals are highly non-linear chaotic difficult due their small magnitude. Hence, empirical mode decomposition (EMD), technique, has been widely adopted capture subtle changes present in signals. it an added advantage develop automated computer-aided diagnostic (CAD) system...

Cardiac pacemakers are used in the treatment of patients with symptomatic bradycardia. The pacemaker paces heart at predetermined rate to maintain uninterrupted cardiac activity. Usually, lead will be connected right atrium (RA) and ventricle (RV) dual-chamber implantation RV alone single-chamber implantation. This alters route proper conduction across myocardial cells. cell-to-cell transmission pacing delays activation selected intraventricular activation. Pacing-induced cardiomyopathy...