Advancements and Impacts of Assistive Technologies, Robotics, and Automated Machines in Healthcare: Insights from an Editorial Initiative of Exploration DOI Open Access
Daniele Giansanti

Healthcare, Journal Year: 2025, Volume and Issue: 13(10), P. 1121 - 1121

Published: May 12, 2025

Assistive technologies, robotics, and automated machines are revolutionizing the healthcare sector, offering groundbreaking solutions that enhance patient outcomes improve operational efficiency [...].

Language: Английский

Innovative Robotic Technologies and Artificial Intelligence in Pharmacy and Medicine: Paving the Way for the Future of Health Care—A Review DOI Creative Commons
Maryna Stasevych, Viktor Zvarych

Big Data and Cognitive Computing, Journal Year: 2023, Volume and Issue: 7(3), P. 147 - 147

Published: Aug. 30, 2023

The future of innovative robotic technologies and artificial intelligence (AI) in pharmacy medicine is promising, with the potential to revolutionize various aspects health care. These advances aim increase efficiency, improve patient outcomes, reduce costs while addressing pressing challenges such as personalized need for more effective therapies. This review examines major robotics AI pharmaceutical medical fields, analyzing advantages, obstacles, implications In addition, prominent organizations research institutions leading way these technological advancements are highlighted, showcasing their pioneering efforts creating utilizing state-of-the-art solutions medicine. By thoroughly current state care exploring possibilities further progress, this work aims provide readers a comprehensive understanding transformative power evolution healthcare sector. Striking balance between embracing technology preserving human touch, investing R&D, establishing regulatory frameworks within ethical guidelines will shape systems. seamless integration systems benefit patients providers.

Language: Английский

Citations

59

Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future—A comprehensive review DOI Creative Commons
Aswin Thacharodi, Prabhakar Singh, Ramu Meenatchi

et al.

Health care science, Journal Year: 2024, Volume and Issue: 3(5), P. 329 - 349

Published: Oct. 1, 2024

Abstract The increasing integration of new technologies is driving a fundamental revolution in the healthcare sector. Developments artificial intelligence (AI), machine learning, and big data analytics have completely transformed diagnosis, treatment, care patients. AI‐powered solutions are enhancing efficiency accuracy delivery by demonstrating exceptional skills personalized medicine, early disease detection, predictive analytics. Furthermore, telemedicine remote patient monitoring systems overcome geographical constraints, offering easy accessible services, particularly underserved areas. Wearable technology, Internet Medical Things, sensor empowered individuals to take an active role tracking managing their health. These devices facilitate real‐time collection, enabling preventive care. Additionally, development 3D printing technology has revolutionized medical field production customized prosthetics, implants, anatomical models, significantly impacting surgical planning treatment strategies. Accepting these advancements holds potential create more patient‐centered, efficient system that emphasizes individualized care, better overall health outcomes. This review's novelty lies exploring how radically transforming industry, paving way for effective all. It highlights capacity modern revolutionize addressing long‐standing challenges improving Although approval use digital advanced analysis face scientific regulatory obstacles, they translational research. as continue evolve, poised alter environment, sustainable, efficient, ecosystem future generations. Innovation across multiple fronts will shape revolutionizing provision healthcare, outcomes, equipping both patients professionals with tools make decisions receive treatment. As develop become integrated into standard practices, probably be accessible, effective, than ever before.

Language: Английский

Citations

22

A social robot connected with chatGPT to improve cognitive functioning in ASD subjects DOI Creative Commons
Francesca Bertacchini, Francesco Demarco, Carmelo Scuro

et al.

Frontiers in Psychology, Journal Year: 2023, Volume and Issue: 14

Published: Oct. 5, 2023

Neurodevelopmental Disorders (NDDs) represent a significant healthcare and economic burden for families society. Technology, including AI digital technologies, offers potential solutions the assessment, monitoring, treatment of NDDs. However, further research is needed to determine effectiveness, feasibility, acceptability these technologies in NDDs, address challenges associated with their implementation. In this work, we present application social robotics using Pepper robot connected OpenAI system (Chat-GPT) real-time dialogue initiation robot. After describing general architecture system, two possible simulated interaction scenarios subject Autism Spectrum Disorder different situations. Limitations future implementations are also provided provide an overview developments interconnected systems that could greatly contribute technological advancements (NDD).

Language: Английский

Citations

32

Robots in healthcare as envisioned by care professionals DOI
Fran Soljacic, Theresa Law, Meia Chita-Tegmark

et al.

Intelligent Service Robotics, Journal Year: 2024, Volume and Issue: 17(3), P. 685 - 701

Published: March 6, 2024

Language: Английский

Citations

14

New Horizons in artificial intelligence in the healthcare of older people DOI Creative Commons
Taha Shiwani, Samuel D. Relton, Ruth Evans

et al.

Age and Ageing, Journal Year: 2023, Volume and Issue: 52(12)

Published: Dec. 1, 2023

Artificial intelligence (AI) in healthcare describes algorithm-based computational techniques which manage and analyse large datasets to make inferences predictions. There are many potential applications of AI the care older people, from clinical decision support systems that can identification delirium records wearable devices predict risk a fall. We held four meetings clinicians researchers. Three priority areas were identified for application people. These included: monitoring early diagnosis disease, stratified coordination between providers. However, also highlighted concerns may exacerbate health inequity people through bias within models, lack external validation amongst infringements on privacy autonomy, insufficient transparency models safeguarding errors. Creating effective interventions requires person-centred approach account needs as well sufficient technological governance meet standards generalisability, effectiveness. Education patients is needed ensure appropriate use technologies, with investment infrastructure required equity access.

Language: Английский

Citations

19

A Review of Identity and Roles of Robotics in the Healthcare Industry DOI Creative Commons
Chao Li

Journal of Biomedical and Sustainable Healthcare Applications, Journal Year: 2024, Volume and Issue: unknown, P. 22 - 32

Published: Jan. 5, 2024

Robotics is a branch of engineering that deals with the design, construction, operation and application robots to perform some physical tasks on behalf human beings varying degrees autonomy. Generally, are used jobs highly repetitive or have high risk towards human’s life. This article seeks critically examine various classifications in healthcare industry their specific applications. paper looks at advances made field artificial intelligence (AI) robotics mainly focusing notable progress by key players like IBM Watson Google’s DeepMind. The study explores robotic applications different medical setups such as surgical operations, telemedicine, rehabilitation, radiation, telepresence, socially useful activities pharmacy services. Besides that, this discusses how potentially imaging nurse robots, cleaning robot delivery/transporting can change health care sector future. underscores need for more research development efforts enhance comprehension functionalities potential uses within sector.

Language: Английский

Citations

7

Beyond the Metal Flesh: Understanding the Intersection between Bio- and AI Ethics for Robotics in Healthcare DOI Creative Commons
Auxane Boch, Seamus Ryan, Alexander Kriebitz

et al.

Robotics, Journal Year: 2023, Volume and Issue: 12(4), P. 110 - 110

Published: Aug. 1, 2023

As we look towards the future of healthcare, integrating Care Robots (CRs) into health systems is a practical approach to address challenges such as an ageing population and caregiver shortages. However, ethical discussions about impact CRs on patients, caregivers, healthcare systems, society are crucial. This normative research seeks define integrative comprehensive framework for CRs, encompassing wide range AI-related issues in healthcare. To build framework, combine principles beneficence, non-maleficence, autonomy, justice, explainability by AI4People Good AI Society traditional bioethics perspective. Using integrated conduct assessment CRs. Next, identify three key trade-offs propose remediation strategies technology. Finally, offer design recommendations responsible development usage In conclusion, our highlights critical need sector-specific fully grasp potential implications

Language: Английский

Citations

17

Potential of Assistive Robots in Clinical Nursing: An Observational Study of Nurses’ Transportation Tasks in Rural Clinics of Bavaria, Germany DOI Creative Commons
D Sommer, Jakob Kasbauer, Dietmar Jakob

et al.

Nursing Reports, Journal Year: 2024, Volume and Issue: 14(1), P. 267 - 286

Published: Jan. 24, 2024

Transportation tasks in nursing are common, often overlooked, and directly impact patient care time the context of staff shortages an aging society. Current studies lack a specific focus on transportation tasks, gap our research aims to fill. By providing detailed data needs nursing, study establishes crucial foundation for development integration assistive robots clinical settings. In July September 2023, we conducted weekly observations nurses assess needs. We aim understand economic methods use tasks. participant observation using standardized app-based form over seven-day period two rural clinics. N = 1830 transports were made by examined descriptive analysis. Non-medical supplies account 27.05% (n 495) all transports, followed medical at 17.32% 317), pharmacotherapy 14.10% 258) other categories like meals or drinks contributing 12.68% 232). Most had factual transport under minute, with lab samples displaying more variability. total, 77.15% hand. Requirements collect items connect included 5% transports. Our evaluation highlighted as most costly transport, 9596.16 € per year observed Budget-friendly would amortize these costs one transporting meals. support understanding nurses’ via further validate findings determine feasibility robots.

Language: Английский

Citations

6

Robotics, Artificial Intelligence, and Drones in Solar Photovoltaic Energy Applications—Safe Autonomy Perspective DOI Creative Commons
Olufemi I. Olayiwola, Miles Elsden, Mahmoud Dhimish

et al.

Safety, Journal Year: 2024, Volume and Issue: 10(1), P. 32 - 32

Published: March 18, 2024

While there is evidence of substantial improvement in efficiency and cost reduction from the integration Robotics, Artificial Intelligence, Drones (RAID) solar installations; it observed that limited oversight by international standards such as International Electrotechnical Commission (IEC) terms hazards untapped potentials. This partly because an emerging application generally burdened with social acceptability issues. Thus, safety regulations applied are adaptations device-specific deemed fit individual companies. Also, due to fast-paced technological development these platforms, huge potential for applications not currently supported regulations. creates a multi-faceted demand establishment standardized, industry-wide polices guidelines on use RAID platforms Solar PV integrations. work aims address critical concerns conducting comprehensive high-level system examination applicable monitoring maintenance systems. Standard assurance models approaches examined provide safe autonomy perspective PVs. It considered that, continue evolve become more prevalent industry, standardized protocols or policies would be established ensure reliable operations.

Language: Английский

Citations

5

Specification, stochastic modeling and analysis of interactive service robotic applications DOI Creative Commons
Livia Lestingi,

Davide Zerla,

Marcello M. Bersani

et al.

Robotics and Autonomous Systems, Journal Year: 2023, Volume and Issue: 163, P. 104387 - 104387

Published: Feb. 25, 2023

Assistive robotic systems are quickly becoming a core technology for the service sector as they understood capable of supporting people in need assistance wide variety tasks. This step poses number ethical and technological questions. The research community is wondering how robotics can be forward human care aid, applications realized order to put role at forefront. Therefore, there growing demand frameworks application designers “human-aware” development process. paper presents model-driven framework analyzing developing human–robot interactive scenarios non-industrial settings with significant sources uncertainty. framework’s formal model agents play – humans robot robot’s mission, which then through verification estimate probability completing mission. captures non-trivial features related behavior, specifically unpredictability choices physiological aspects tied their state health. To foster accessibility, we present tool-agnostic Domain-Specific Language that allows lacking expertise modeling configure user-friendly manner. We compare analysis outputs results obtained by deploying benchmark physical environment real mobile assess whether adheres reality accurate. entire pipeline tested on several from healthcare setting its flexibility effectiveness design

Language: Английский

Citations

13