It is not about AI, it is about humans. Responsibility gaps and medical AI by Giubilini, A

“…A lot of the language we use to refer to AI, including in healthcare, uses terminology that originally and literally applies to humans and human relationships. …”

Understanding value and the value of understanding in AI medical decision support systems by Brown, RCH

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis by Zhang, Shao, Yu, Jianing, Xu, Xuhai, Yin, Changchang, Lu, Yuxuan, Yao, Bingsheng, Tory, Melanie, Padilla, Lace M., Caterino, Jeffrey, Zhang, Ping, Wang, Dakuo

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Beyond ideals: why the (medical) AI industry needs to motivate behavioural change in line with fairness and transparency values, and how it can do it by Liefgreen, A, Weinstein, N, Wachter, S, Mittelstadt, B

Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities by Koh, Vivian Ci Ai, Ang, Yi Yang, Ser, Wee, Tan, Rex Xiao

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medTrack : a medication and appointment adherence system by Tan, Felice Yu Ting

“…The healthcare industry is one example whereby surgical robots were used to operate on a patient, virtual nursing assistants were used to assists patients in their daily activities, and even wearable health trackers for signal detection. …”
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3D deep learning on medical images : a review by Singh, Satya P., Wang, Lipo, Gupta, Sukrit, Goli, Haveesh, Padmanabhan, Parasuraman, Gulyás, Balázs

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Development of an AI solution for surgical gauze management by Ang, Soon Kim

“…This project aims to tackle the problem using the ever-evolving field of Artificial Intelligent (AI) which can be cheaper to implement compared to the current RFID solution as well as being less labor intensive compared to manual counting. …”
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Multicenter double-blind study evaluating AI-driven detection of proximal deep vein thrombosis by Curry, N, Allen, E, Silsby, L, Goodacre, S, Deane, C, Deary, A, Foster, A, Griffiths, J, Sharma, R, Thomas, H, Mischewitz, S, Al-Noor, F

Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention by Orzikulova, Adiba, Xiao, Han, Li, Zhipeng, Yan, Yukang, Wang, Yuntao, Shi, Yuanchun, Ghassemi, Marzyeh, Lee, Sung-Ju, Dey, Anind K, Xu, Xuhai

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Integrated transcriptomic and proteomic profiling of responses to clinical and novel bisphosphonates by Lu, J

The IDentif.AI-x pandemic readiness platform: rapid prioritization of optimized COVID-19 combination therapy regimens by Blasiak, Agata, Truong, Anh T. L., Remus, Alexandria, Hooi, Lissa, Seah, Shirley Gek Kheng, Wang, Peter, Chye, De Hoe, Lim, Angeline Pei Chiew, Ng, Kim Tien, Teo, Swee Teng, Tan, Yee-Joo, Allen, David Michael, Chai, Louis Yi Ann, Chng, Wee Joo, Lin, Raymond T. P., Lye, David C., Wong, John Eu-Li, Tan, Gladys Gek-Yen, Chan, Conrad En Zuo, Chow, Edward Kai-Hua, Ho, Dean

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Applications of medical artificial intelligence : second International Workshop, AMAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceeding... by International Workshop on Applications of Medical Artificial Intelligence (2nd : 2023 : Vancouver, B.C. ; Online), Wu, Shandong, editor, Shabestari, Behrouz, editor, Xing, Lei, editor, SpringerLink (Online service)

“…The AMAI 2023 workshop created a forum to bring together researchers, clinicians, domain experts, AI practitioners, industry representatives, and students to investigate and discuss various challenges and opportunities related to applications of medical AI…”
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Prevalence of offering menopause hormone therapy among primary care doctors and its associated factors: a cross-sectional study by Low, Tiong Lim, Cheong, Ai Theng, Devaraj, Navin Kumar, Ismail, Rohayah

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Skin disease diagnosis using deep neural network and large language model by Xia, Deneng

“…In this thesis, we introduce an interactive chat-based skin disease diagnosis system utilizing a multimodal large language model called VisualGLM and image classification models which are trained on the HAM10000 dataset achieved a validation accuracy of 93\%. …”
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Detection and characterisation of a sixth Candida auris clade in Singapore: a genomic and phenotypic study by Suphavilai, Chayaporn, Ko, Karrie Kwan Ki, Lim, Kar Mun, Tan, Mei Gie, Boonsimma, Patipan, Chu, Joash Jun Keat, Goh, Sui Sin, Rajandran, Prevena, Lee, Lai Chee, Tan, Kwee Yuen, Bushra Binte Shaik Ismail, Aung, May Kyawt, Yang, Yong, Sim, Jean Xiang Ying, Venkatachalam, Indumathi, Cherng, Benjamin Pei Zhi, Spruijtenburg, Bram, Chan, Kian Sing, Oon, Lynette Lin Ean, Tan, Ai Ling, Tan, Yen Ee, Wijaya, Limin, Tan, Ban Hock, Ling, Moi Lin, Koh, Tse Hsien, Meis, Jacques F., Tsui, Clement Kin Ming, Nagarajan, Niranjan

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Using biothesiometer, Neuropathy Symptom Score, and Neuropathy Disability Score for the early detection of peripheral neuropathy: a cross-sectional study by Mooi, Ching Siew, Lee, Kai Wei, Yusof Khan, Abdul Hanif Khan, Devaraj, Navin Kumar, Cheong, Ai Theng, Hoo, Fan Kee, Sulaiman, Wan Aliaa Wan, Loh, Wei Chao, Jian, Leong Yong, Hui, Teh Xian, Ramachandran, Vasudevan

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Mediating role of psychological distress on the relationship between fear of COVID-19 and burnout among healthcare providers: a cross-sectional study in Selangor, Malaysia by Ching, Siew-Mooi, Thurasamy, Ramayah, Cheong, Ai Theng, Yee, Anne, Lim, Poh Ying, Ismail, Irmi Zarina, Ng, Jun Ying, Ooi, Pei Boon, Lee, Kai Wei, Rasina Nilofer, Jabarulla Khan, Zamzurina, Asmuee, Rajini Ann, S. Ratnasingamp, Teoh, See Wie, Hassan, Noor Hasliza

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A deep learning approach to image quality assessment by Feng, Yeli

“…Lastly, we present a method that helps diagnosis AI to recognize view types of chest radiographs.…”
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A survey of few-shot learning for biomedical time series by Li, C, Denison, T, Zhu, T

“…This survey provides a comprehensive review and comparison of few-shot learning methods for biomedical time series applications. …”