Advancements in 3D printing technologies for personalized treatment of osteonecrosis of the femoral head by Tingting Chen, Lincong Luo, Jiaying Li, Jiamin Li, Tao Lin, Mingrui Liu, Hang Sang, Xinyu Hong, Jiahao Pu, Wenhua Huang

“…In the future, the potential of 3D printing extends to combining with artificial intelligence for optimizing treatment plans, developing materials with enhanced bioactivity and compatibility, and translating these innovations from the laboratory to clinical practice. …”
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The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study by Jin Yong Kim, Vincent D Marshall, Brigid Rowell, Qiyuan Chen, Yifan Zheng, John D Lee, Raed Al Kontar, Corey Lester, Xi Jessie Yang

“…Participants completed a block of 100 verification trials without any help, and another block of 100 trials with the help of an imperfect artificial intelligence (AI) aid recommending acceptance or rejection of a filled medication bottle. …”
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Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm) by Saeed Khaljastani, Habib Piri, Reza Sotoudeh

“…These methods offer the potential to improve CEO performance and the quality of services provided by organizations by leveraging existing data and artificial intelligence algorithms. Furthermore, this research can assist investors and economic decision-makers in more accurately analyzing and predicting the sensitivity of CEO compensation using deep neural networks and meta-heuristic algorithms.…”
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Call to Action: Lead Pharmacy into the Next Decade by Gregory Zumach, Kerry K Fierke, Gardner Lepp, Bridget McGugan, Marta Brooks, Anthony Olson, Andrew Bartlett, Nilushi Karunaratne, Betty Exintaris

“…At the same time, our current environment requires attention to new challenges such as a multigenerational workforce and artificial intelligence. Call to Action Through our work as scholars, we can provide evidence-based, pertinent, timely solutions to address these issues, in ways that make it easily transferable to broad audiences. …”
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Analisis dan Perancangan Aplikasi Chatbot Menggunakan Framework Rasa dan Sistem Informasi Pemeliharaan Aplikasi (Studi Kasus: Chatbot Penerimaan Mahasiswa Baru Politeknik Astra) by Laksmi Anindyati

“…Rasa NLU as a base library to build interactions between computers and humans using artificial intelligence. Rasa NLU is responsible for making interaction much real, like direct interaction with humans. …”
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Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

“…One application of artificial intelligence for service excellence is the use of a chatbot, which requires an appropriate method for the classification of user intent and Named Entity Recognition (NER). …”
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Optimasi Convolutional Neural Network Untuk Deteksi Covid-19 pada X-ray Thorax Berbasis Dropout by I Gede Totok Suryawan, I Putu Agus Eka Darma Udayana

“…Dengan adanya penetrasi Artificial Intelligence yang tepat pada sistem medis di Indonesia, diharapkan dapat membantu terjadinya transfer knowledge antar paramedis menjadi lebih efektif. …”
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Jaringan Syaraf Tiruan Perambatan Balik untuk Klasifikasi Covid-19 Berbasis Tekstur Menggunakan Orde Pertama Berdasarkan Citra Chest X-Ray by Muchtar Ali Setyo Yudono, Eki Ahmad Zaki Hamidi, Jumadi Jumadi, Abdul Haris Kuspranoto, Aryo De Wibowo Muhammad Sidik

“…Due to the low RT-PCR sensitivity of 60%-70%, symptoms can be detected by examining the patient's radiological images even if a negative result is obtained. Artificial intelligence techniques combined with radiological imaging can help diagnose Covid -19 more quickly and accurately. …”
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Use of Digital Health Technologies for Dementia Care: Bibliometric Analysis and Report by Hebatullah Abdulazeem, Israel Júnior Borges do Nascimento, Ishanka Weerasekara, Amin Sharifan, Victor Grandi Bianco, Ciara Cunningham, Indunil Kularathne, Genevieve Deeken, Jerome de Barros, Brijesh Sathian, Lasse Østengaard, Frederique Lamontagne-Godwin, Joost van Hoof, Ledia Lazeri, Cassie Redlich, Hannah R Marston, Ryan Alistair Dos Santos, Natasha Azzopardi-Muscat, Yongjie Yon, David Novillo-Ortiz

“…ConclusionsOur study shows a steady increase in dementia- and DHT-related publications, particularly in areas such as mobile health, virtual reality, artificial intelligence, and sensor-based technologies interventions. …”
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Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study by Zhichao Yang, Zonghai Yao, Mahbuba Tasmin, Parth Vashisht, Won Seok Jang, Feiyun Ouyang, Beining Wang, David McManus, Dan Berlowitz, Hong Yu

“… BackgroundRecent advancements in artificial intelligence, such as GPT-3.5 Turbo (OpenAI) and GPT-4, have demonstrated significant potential by achieving good scores on text-only United States Medical Licensing Examination (USMLE) exams and effectively answering questions from physicians. …”
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Kontrol Level Kecepatan Kipas Melalui Deteksi Gestur Jari Tangan Menggunakan MediaPipe dan Faster-RCNN by Muhammad Aldi Fakhruddin, Heri Pratikno, Musayyanah, Weny Indah Kusumawati

“…In the era of Society 5.0, all applications of technology that have the main goal are not only to facilitate human work but how technology can better understand and understand humans, so that's where Artificial Intelligence is applied. In this study, an interaction control system was applied between the user and the computer to adjust the fan speed level automatically and in real time based on computer vision technology for deep learning through the detection of the shape of the right hand finger gesture and the left hand finger gesture using a webcam. …”
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Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging by Oliver Lester Saldanha, Jiefu Zhu, Gustav Müller-Franzes, Zunamys I. Carrero, Nicholas R. Payne, Lorena Escudero Sánchez, Paul Christophe Varoutas, Sreenath Kyathanahally, Narmin Ghaffari Laleh, Kevin Pfeiffer, Marta Ligero, Jakob Behner, Kamarul A. Abdullah, Georgios Apostolakos, Chrysafoula Kolofousi, Antri Kleanthous, Michail Kalogeropoulos, Cristina Rossi, Sylwia Nowakowska, Alexandra Athanasiou, Raquel Perez-Lopez, Ritse Mann, Wouter Veldhuis, Julia Camps, Volkmar Schulz, Markus Wenzel, Sergey Morozov, Alexander Ciritsis, Christiane Kuhl, Fiona J. Gilbert, Daniel Truhn, Jakob Nikolas Kather

“…While this increase poses challenges for radiologists, artificial intelligence (AI) offers potential solutions to manage this workload. …”
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Temporal trends in guideline-recommended medical therapy after an acute heart failure decompensation event: an observational analysis from Generator Heart Failure DataMart by Antonio Gasbarrini, Giuseppe Patti, Filippo Crea, Giovanni Scambia, Domenico D'Amario, Vincenzo Valentini, Gianluigi Savarese, Alfredo Cesario, Jacopo Lenkowicz, Stefano Patarnello, Renzo Laborante, Agni Delvinioti, Andrada Mihaela Tudor, Chiara Iacomini, Antonio Iaconelli, Donato Antonio Paglianiti, Mattia Galli, Daniele Rodolico, Attilio Restivo, Giuseppe Ciliberti, Gaetano Rizzo, Emiliano Bianchini, Matteo Busti, Luca Sensini

“…Objectives To evaluate the trend of prescription of the four foundational therapies, and their impact on 30-day urgent re-admissions and all-cause death in patients with heart failure and reduced ejection fraction (HFrEF) following an acute decompensation event.Design Retrospective.Setting One tertiary referral centre.Participants 999 consecutively patients admitted with a primary diagnosis of HFrEF between January 2020 and June 2023 were identified through a validated, high‐performance technology infrastructure based on artificial intelligence. The entire cohort was divided into three time periods based on two time points: September 2021 (ie, the release of the latest European guidelines) and January 2022 (ie, reimbursement for sodium-glucose cotransporter 2 (SGLT2) inhibitors).Primary and secondary outcome measures Trends and predictors of the prescription of each of the four foundational therapies and of the composite of all-cause death and rehospitalisation for urgent causes at 30 days.Results Among the 999 included patients, β-blockers were prescribed in 93% of patients, ACE inhibitor (ACEi)/angiotensin receptor blocker (ARB)/angiotensin–neprilysin receptor inhibitor (ARNi) in 73%, mineralocorticoid receptor antagonist in 30% and SGLT2 inhibitors in 18%. …”
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Integrated Framework and Technical Path for Multi-level Nested Assessment of Landscape Character by Yuncai WANG, Qizhen DONG

“…The multi-level nested assessment framework and technical path integrating LCA and LPA can accurately grasp the local characteristics of landscape through quantitative assessment and spatial mapping using artificial intelligence technology at different scales of practical needs. …”
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Differentiation of high risk prostate cancer with a facile urinary exosome detection workflow by Shuai Qiu, Yue Li, Zheng Zhang, Chunchang Li, Haoyu Wang, Ao Chen, Zhi Yan, Yang Liu, Zifei Li, Hua Huang, Yi Liu, Yiqi Seow, Ruibing Chen, Jinhong Guo, Simeng Wen, Jing Tian, Hongtuan Zhang, Ranlu Liu, Gang Han, Baolong Wang, Yong Wang, Yuanjie Niu, HaiFang Yin

“…Importantly, a prostate cancer urinary EVLatch-based artificial intelligence diagnostics (PURE-AID) classification system utilizing PCA3, HOXC6, and DLX1 as targets with SPDEF for reference and EEF1A1 for quality checking, trained on 271 patients, achieved an area under the receiver operating characteristic curve (AUROC) of 0.76 in the test set of 351 patients. …”
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TAME 2.0: expanding and improving online data science training for environmental health research by Alexis Payton, Alexis Payton, Alexis Payton, Elise Hickman, Elise Hickman, Elise Hickman, Jessie Chappel, Jessie Chappel, Jessie Chappel, Kyle Roell, Kyle Roell, Lauren E. Koval, Lauren E. Koval, Lauren A. Eaves, Lauren A. Eaves, Chloe K. Chou, Chloe K. Chou, Chloe K. Chou, Allison Spring, Allison Spring, Sarah L. Miller, Sarah L. Miller, Sarah L. Miller, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Rebecca Boyles, Rebecca Boyles, Paul Kruse, Cynthia V. Rider, Grace Patlewicz, Caroline Ring, Cavin Ward-Caviness, David M. Reif, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Rebecca C. Fry, Rebecca C. Fry, Rebecca C. Fry, Julia E. Rager, Julia E. Rager, Julia E. Rager, Julia E. Rager

“…Training topics were prioritized based upon ongoing engagement with trainees, professional colleague feedback, and emerging topics in the field of environmental health research (e.g., artificial intelligence and machine learning). TAME 2.0 is a significant expansion upon the original TAME training resource pilot. …”
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