Transforming Healthcare Security and Sustainability Through Pioneering Generative AI Solutions DOI

Safdar Miran,

Muzzammil Siraj,

M.Talha Mumtaz

и другие.

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 331 - 348

Опубликована: Ноя. 22, 2024

The integration of generative artificial intelligence (AI) in healthcare represents a transformative vault towards enhancing both security and sustainability within the sector. This paper explores how pioneering AI results are reshaping by addressing critical challenges. Generative AI, characterized its capability to produce new data patterns, offers advanced styles for securing patient data, prognosticating precluding breaches, optimizing resource operation. These technologies enable associations develop robust fabrics apply sustainable practices using AI-driven perceptivity. Through comprehensive review current operations, case studies, arising trends, this highlights eventuality drive significant advancements sustainability. By examining real-world executions assessing impact these technologies, study provides forward- looking perspective on can address evolving requirements sector

Язык: Английский

Generative AI for Web Engineering Models in Physical Therapy DOI

Hina Al Fatima Siddiqui,

Nasrullah Khan,

Safdar Miran

и другие.

Advances in web technologies and engineering book series, Год журнала: 2024, Номер unknown, С. 361 - 378

Опубликована: Сен. 27, 2024

This study explores the integration of generative artificial intelligence (AI) into web- grounded physical remedy operations through a mixed- styles approach, combining both quantitative and qualitative data. Aquasi-experimental design was employed to compare efficacity AI- enhanced with traditional styles, revealing significant advancements in issues. Generative inimical Networks (GANs) Large Language Models (LLMs) were produce individualized exercise routines grease interactive case- AI relations. Quantitative results showed that cases using AI-enhanced endured lesser range stir advanced satisfaction compared those witnessing remedy. The also linked several specialized ethical challenges, including data sequestration enterprises model limitations. Unborn exploration should concentrate on advancing algorithms, integrating multimodal feedback, addressing usability issues enhance effectiveness availability

Язык: Английский

Процитировано

0

Security Concerns DOI
Humaira Ashraf

Advances in web technologies and engineering book series, Год журнала: 2024, Номер unknown, С. 241 - 268

Опубликована: Сен. 27, 2024

This primarily aims to evaluate the ML approaches and web applications for authentication. Using machine learning, issues can be solved, computers carry out tasks. It attempts understand relationships between data automatically learns from presented information. The relationship after that enables complete tasks given it successfully. In other words, learning teaches itself how accomplish a task over time then assists people in performing activity. capacity design effective, safe, user-friendly remains major problem constantly evolving field of development. Web application developers must provide modular, reusable, interactive interface components adapt shifting needs users terms security, large-scale transfer capabilities, speed. One most important any modern is secure user login permission. Stronger authentication required protect integrity apps, as worries privacy cybersecurity grow. Though there are number these solutions on market, none them completely integrates with ecosystem built React offer safe adaptable identity management. Effective just crucial appropriate administration successful engagement they security problems. As result, thesis concentrates providing more thorough explanation reusable components, including what create TypeScript, React, Redux. Therefore, this chapter practical attempt develop effective inside meet difficulties. By doing this, research advances subject development provides guide programmers wishing incorporate comparable features.

Язык: Английский

Процитировано

0

The Role of Generative AI in Enhancing Web Engineering Efficiency and Business Innovation DOI

Adil Liaquat,

Naseebia Khan, Muzzammil Siraj

и другие.

Advances in web technologies and engineering book series, Год журнала: 2024, Номер unknown, С. 223 - 240

Опубликована: Сен. 27, 2024

This study explores the impact of generative AI on web engineering and its part in driving business invention. By automating coding, design, conservation tasks, enhances development effectiveness, reducing time trouble for inventors. The exploration employs a mixed- styles approach, combining qualitative perceptivity from case studies with quantitative analysis AI- driven systems. Findings indicate significant positive relationship between integration advancements effectiveness also highlights challenges relinquishment, including ethical enterprises need translucency. contributes to understanding AI's transformative eventuality engineering, offering recommendations using enhance practices drive Unborn should explore long- term impacts strategies addressing issues integration.

Язык: Английский

Процитировано

0

Harnessing AI in Physical Therapy Modalities DOI

Safdar Miran,

Muzzammil Siraj, Naseebia Khan

и другие.

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 269 - 278

Опубликована: Ноя. 22, 2024

The integration of AI in physical remedy is revolutionizing treatment modalities by unifying Eastern and Western approaches to recuperation. This composition examines the operation technologies, similar engine literacy real-time data analytics, enhancing practices. primarily focuses on biomechanical duties substantiation-grounded styles, while punctuate holistic ways that manipulate body-mind connection. By using AI, clinicians can enhance estimations, epitomize recuperation plans, objectively charge traditional curatives like acupuncture Tai Chi. Despite pledge expostulations sequestration, algorithm translucency, integrating different sources remain. underscores significance a clearheaded path combines puissance both optimize strategies.

Язык: Английский

Процитировано

0

Generative AI Applications for Enhancing Medical Training DOI

Quratulain Sial,

Imdad Ali Shah, N. Z. Jhanjhi

и другие.

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 161 - 174

Опубликована: Ноя. 22, 2024

The significance of ongoing study and development AI technology is emphasized as this chapter explores the part utility generative in medical education training, examines difficulties it encounters, systems unborn patterns field. We can have a better understanding how impacting going forward offering fresh styles for training healthcare workers by reading thorough review. A branch artificial intelligence called” AI” concerned with creating that produce original cultural labors, including textbooks, music, plates, more. These may content mimics mortal-generated on their own exercising deep literacy ways, particularly models. interesting field focuses singly original, creative content. It makes possible machines to perform imaginative tasks addition further conventional bones. By models approaches, these induce innovative labors nearly mimic content, literature, prints, This system making an effective tool various uses. Generative are central idea AI. enables autonomously similar images, addresses need new different colorful disciplines, art, entertainment, design, marketing. opens possibilities expression expands boundaries mortal imagination. increased, limits imagination pushed Medical serves means guaranteeing performance pool observed realistic secure setting. Their use virtual cases instruct scholars. clinical scenarios simulations were designed help professionals students make diagnoses treatment-related decisions.

Язык: Английский

Процитировано

0

The Intersection of AI in Finance and Healthcare DOI

Nasrullah Khan,

Abdul Rehman,

Riffat Jabeen

и другие.

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 301 - 312

Опубликована: Ноя. 22, 2024

This exploration investigates the relinquishment trends, challenges, and profitable impacts of AI in finance healthcare sectors. The study reveals that while significantly enhances functional effectiveness returns both fields, distinct sector-specific challenges must be addressed. In finance, rapid-fire integration technologies leads to advancements trading, threat operation, client service, but compliance with nonsupervisory fabrics poses hurdles. healthcare, AI-driven inventions ameliorate diagnostics patient issues, yet ethical enterprises regarding data sequestration algorithmic impulses navigated. uses a mixed-system approach analyze quantitative from assiduity checks qualitative perceptivity expert interviews. Findings emphasize necessity acclimatized strategies prioritizing pool chops, vacuity, considerations.

Язык: Английский

Процитировано

0

Deep Learning Applications for Healthcare Risk Assessment DOI

Sana Fateh,

Imdad Ali Shah,

Quratulain Sial

и другие.

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 59 - 76

Опубликована: Ноя. 22, 2024

The primary object of this chapter is to focus on deep learning and how it useful for healthcare risk assessment. A potential risk, mitigate weaknesses assessment important early detection through the analysis guarantee patient staff safety. approach tackling everyday problems has radically changed in age artificial intelligence (AI), machine learning, learning. We are now concentrating developing technology that specific fields. Deep techniques offer a wide range applications health care, even though still its phases. From keeping an individual's universal record emerging technologies enabled by we will see many upgrades fundamentally change industry scenario coming years. can evaluate organized or unstructured data at high rate.

Язык: Английский

Процитировано

0

Transforming Healthcare Security and Sustainability Through Pioneering Generative AI Solutions DOI

Safdar Miran,

Muzzammil Siraj,

M.Talha Mumtaz

и другие.

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 331 - 348

Опубликована: Ноя. 22, 2024

The integration of generative artificial intelligence (AI) in healthcare represents a transformative vault towards enhancing both security and sustainability within the sector. This paper explores how pioneering AI results are reshaping by addressing critical challenges. Generative AI, characterized its capability to produce new data patterns, offers advanced styles for securing patient data, prognosticating precluding breaches, optimizing resource operation. These technologies enable associations develop robust fabrics apply sustainable practices using AI-driven perceptivity. Through comprehensive review current operations, case studies, arising trends, this highlights eventuality drive significant advancements sustainability. By examining real-world executions assessing impact these technologies, study provides forward- looking perspective on can address evolving requirements sector

Язык: Английский

Процитировано

0