Heliyon, Journal Year: 2024, Volume and Issue: 11(1), P. e41331 - e41331
Published: Dec. 18, 2024
Language: Английский
Journal of Global Health, Journal Year: 2025, Volume and Issue: 15
Published: Jan. 10, 2025
The emergence of artificial intelligence (AI) in drug discovery represents a transformative development addressing neglected diseases, particularly the context developing world. Neglected often overlooked by traditional pharmaceutical research due to limited commercial profitability, pose significant public health challenges low- and middle-income countries. AI-powered offers promising solution accelerating identification potential candidates, optimising process, reducing time cost associated with bringing new treatments market. However, while AI shows promise, many its applications are still their early stages require human validation ensure accuracy reliability predictions. Additionally, models availability high-quality data, which is sparse regions where diseases most prevalent. This viewpoint explores application for examining current impact, related ethical considerations, broader implications It also highlights opportunities presented this context, emphasising need ongoing research, oversight, collaboration between stakeholders fully realise transforming global outcomes.
Language: Английский
Citations
1
PLOS Digital Health, Journal Year: 2025, Volume and Issue: 4(2), P. e0000726 - e0000726
Published: Feb. 24, 2025
The safety of Artificial Intelligence (AI) systems is as much one human decision-making a technological question. In AI-driven decision support systems, particularly in high-stakes settings such healthcare, ensuring the human-AI interactions paramount, given potential risks following erroneous AI recommendations. To explore this question, we ran safety-focused clinician-AI interaction study physical simulation suite. Physicians were placed simulated intensive care ward, with nurse (played by an experimenter), ICU data chart, high-fidelity patient mannequin and recommender system on display. Clinicians asked to prescribe two drugs for patients suffering from sepsis wore eye-tracking glasses allow us assess where their gaze was directed. We recorded clinician treatment plans before after they saw recommendations, which could be either ‘safe’ or ‘unsafe’. 92% clinicians rejected unsafe recommendations vs 29% safe ones. paid increased attention (+37% fixations) However, visual explanations not greater scenarios. Similarly, clinical information (patient monitor, chart) did receive more versus reveal suggesting that physicians look back these sources investigate why suggestion might unsafe. only successfully persuaded change dose scripted comments bedside 5% time. Our emphasises importance oversight safety-critical value evaluating closely resemble real world practice.
Language: Английский
Citations
0
Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 319 - 338
Published: March 21, 2025
This study examines the application of human-cantered artificial intelligence (AI) in Islamic finance, with aim bridging modern technology and tradition to improve entrepreneurial interaction. In era digital transformation, AI is a major force that transforming various industries including financial sector. which prioritizes ethical practices social justice, has unique approach integrating according sharia principles. research aims fill literature gap regarding finance still limited. Through in-depth analysis comprehensive approach, offers practical theoretical guidance for institutions operational efficiency, service personalization, productive interactions.
Language: Английский
Citations
0
Journal of Medical Ethics, Journal Year: 2025, Volume and Issue: unknown, P. jme - 110750
Published: March 27, 2025
Fervent attention was paid to what is coined dual-use research (DUR), or that can both benefit and harm humanity, of concern (DURC), a particular subset DUR reasonably anticipated be safety security if misapplied. The aim this paper not reiterate the challenges DURC governance but look at new turn in DURC, namely posed by use artificial intelligence (AI) pharmaceutical development. This important, as AI increasingly being used for development industry. There growing recognition there dearth industry governmental guidance.
Language: Английский
Citations
0
Artificial Intelligence Surgery, Journal Year: 2025, Volume and Issue: 5(2), P. 161 - 72
Published: April 2, 2025
Artificial intelligence (AI), machine learning (ML), and image guidance are increasingly being used to support surgeons in preoperative, intraoperative, postoperative decision making optimized patient care. Surgery is the cornerstone of curative treatment pancreatic diseases, a large amount perioperative data becoming available with widespread application minimally invasive surgical techniques. AI showing promise prediction malignancy resectability from preoperative images. A further clinical focus complications, especially fistula, several algorithms now outperform conventional fistula risk scores. Future research will be directed toward refinement intraoperative systems, individualization training, improvement pre- oncologic stratification personalize sequence surgery chemotherapy. This review summarizes recent developments for surgery.
Language: Английский
Citations
0
IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 415 - 434
Published: March 28, 2025
Indian Sign Language (ISL) is the dominant language used by deaf and dumb community in India. According to a report WHO, there are around 63 million people across India who suffering from hearing impairments. With having large population percentage occurrence of impairments being high, need for spoken ISL translation systems improve communication between communities. The current work done this domain promising but quite restricted due lack dictionary words resources. Our proposal takes on different approach than existing translation. purpose research create system that translates Hindi into through Neural Machine Translation (NMT). Using rule-based approach, corpus created which follows all grammar conventions ISL. This dataset then train an NMT model can be deployed further
Language: Английский
Citations
0
Published: Jan. 1, 2025
Language: Английский
Citations
0
Geriatric Nursing, Journal Year: 2024, Volume and Issue: 61, P. 41 - 49
Published: Nov. 14, 2024
Language: Английский
Citations
3
Integrated Pharmacy Research and Practice, Journal Year: 2024, Volume and Issue: Volume 13, P. 139 - 153
Published: Aug. 1, 2024
The field of healthcare is experiencing a significant transformation driven by technological advancements, scientific breakthroughs, and focus on personalized patient care. At the forefront this evolution artificial intelligence-driven pharmacy practice (IDPP), which integrates data science technology to enhance pharmacists' capabilities. This prospective article introduces concept "pharmacointelligence", paradigm shift that synergizes intelligence (AI), integration, clinical decision support systems (CDSS), informatics optimize medication-related processes. Through comprehensive literature review analysis, research highlights potential pharmacointelligence revolutionize addressing complexity pharmaceutical data, changing demands, advancements. identifies critical need for integrating these technologies medication management, improve outcomes, streamline operations. It also underscores importance regulatory ethical considerations in implementing pharmacointelligence, ensuring privacy, security, equitable delivery.
Language: Английский
Citations
2
The Ewha Medical Journal, Journal Year: 2024, Volume and Issue: 47(4)
Published: Sept. 12, 2024
Artificial intelligence (AI) is rapidly transforming various medical fields, including radiation oncology. This review explores the integration of AI into oncology, highlighting both challenges and opportunities. can improve precision, efficiency, outcomes therapy by optimizing treatment planning, enhancing image analysis, facilitating adaptive therapy, enabling predictive analytics. Through analysis large datasets to identify optimal parameters, automate complex tasks, reduce planning time, accuracy. In AI-driven techniques enhance tumor detection segmentation processing data from CT, MRI, PET scans enable precise delineation. beneficial because it allows real-time adjustments plans based on changes in patient anatomy size, thereby improving accuracy effectiveness. Predictive analytics using historical predict potential complications, guiding clinical decision-making more personalized strategies. Challenges adoption oncology include ensuring quality quantity, achieving interoperability standardization, addressing regulatory ethical considerations, overcoming resistance implementation. Collaboration among researchers, clinicians, scientists, industry stakeholders crucial these obstacles. By challenges, drive advancements care operational efficiencies. presents an overview current state insights future directions for research practice.
Language: Английский
Citations
2