This paper introduces a novel parametric-logarithmic-modulus-based activation function (PLM-AF) designed to significantly enhance the nonlinear expression capabilities of high-dimensional spectroscopy data. A one-dimensional CNN-LSTM (1D-CNN-...

A delay, interruption, or failure in the wireless connection has a significant impact on the performance of wirelessly connected medical equipment. Researchers presented the fastest technological innovations and industrial changes to address these ...

Organisations are increasingly governed by complex and multilayered systems of rules and regulations. In heavily regulated sectors such as healthcare, compliance with these rules poses significant challenges. Not only can rule compliance conflict ...

The Polygenic Risk Score (PRS) research domain holds great promise for significant contributions to precision medicine by providing insights into genetic predispositions for common diseases. However, the field faces challenges in terminology ...

Healthcare has undergone a revolution from version 1.0 to version 4.0, with version 2.0 introducing electronic health records (EHRs) to replace the analysis ones and version 3.0 focusing more on patients. Telehealth, cloud computing, fog computing,...

The distribution of vaccines poses a critical challenge, particularly during public emergencies. This paper introduces a decision support framework to address the requirement of vaccine supply distribution in medical emergencies by optimizing an ...${}^{\mathrm{}}$

Monkeypox virus has quickly expanded throughout several nations, raising serious public health concerns. Lack of precautionary measures raises concerns about the possibility of global pandemic. As a result, early detection of ...

• MOX-NET, a deep learning framework for monkeypox classification.
• Accuracy of 98.64% on the MSLID dataset, surpassing existing methods.
• An entropy-controlled firefly algorithm for efficient feature selection.
• A robust solution ...

The healthcare industry is strained and would benefit from personalized treatment plans for treating various health conditions (e.g., HIV and diabetes). Reinforcement Learning is a promising approach to learning such sequential recommendation systems. ...

Virtual Reality technology emerges as a versatile tool with applications ranging from gaming to therapy. Particularly, Adaptive Virtual Reality (AVR) stands out as a promising field, employing adaptive mechanisms to automatically customize the user ...

Artificial intelligence models encounter significant challenges due to their black-box nature, particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles. Explainable Artificial Intelligence (XAI) addresses these ...

With the rapid growth of the Internet of Things (IoT), the Internet of Medical Things (IoMT) has emerged as a critical sector that enhances convenience and plays a vital role in saving lives. IoMT devices facilitate remote access and control of ...

Strabismus is one of the most prevalent eye diseases in children. Crossed eyes, often known as squinting, is a misalignment of the eyes that causes them to point in separate directions. As a result of the brain’s response to eye misalignment, ...

Many applications involving virtual humans in the area of hearing disabilities focus on sign language, disregarding other rehabilitation methods. This article presents Labio, a highly immersive 3D virtual environment designed to support hearing ...

The healthcare sector is increasingly utilizing bots for patient management, chronic disease management, and health advice, providing 24/7 support and immediate medical responses. The language of these bots is crucial, impacting patient comfort, ...

The diagnosis of neurodevelopmental disorders in children from 0 to 18 years of age is an extremely complex process which involves the participation of professionals from various medical specialties. Late detection and treatment of these disorders can ...

We study a theoretical model inspired by regulated health insurance markets. The market regulator can choose to do nothing, running a Free Market, or can exercise her regulatory power by limiting the entry of providers (decreasing consumer welfare ...

Since the past decade, the interest towards more precise and efficient healthcare techniques with special emphasis on diagnostic techniques has increased. Artificial Intelligence has proved to be instrumental in development of various such ...

Display Omitted

• AI based techniques cane used in for various diagnostic procedures like prediction of disease, decision for medication and prognosis of a disease.
• One of the major requirements of development of AI in healthcare is large quantity of ...

Computed Tomography (CT) Imaging is frequently used to find liver cancer. CT imaging of the liver generates cross-sectional images of the abdominal region. The task of segmenting a liver tumor on CT images is tedious due to the anatomic complexity ...

The digital shift in healthcare has spurred progress in medical services. However, this progress has introduced substantial security risks, necessitating a balance between data privacy and utility. This paper examines the challenges of managing ...

The study of sentiment in Natural Language Processing (NLP) is among the most successful research areas because of the availability of millions of user opinions online since the turn of the century. The economic, political, and medical fields are just ...