Page 36 - Shaping ethics, regulation and standardization in AI for health

Shaping ethics, regulation and standardization in AI for health

improve the early diagnosis and screening of digestive cancers. The document details AI tasks,
existing solutions, data annotation processes, benchmarking considerations, and regulatory
aspects within these medical domains.

A�4�15 DEL 10�21: FG-AI4H Topic Description Document for the Topic group
on AI for musculoskeletal medicine (TG-MSK)

Summary: This TDD specifies a standardised benchmarking for AI-based Musculoskeletal
Medicine applications, specifically for the Topic Group on musculoskeletal medicine (TG-MSK).
It outlines the crucial need for standardized benchmarking of AI applications in musculoskeletal
medicine, emphasizing the widespread impact of these conditions globally and the potential
of AI to improve access and care, especially given the shortage of healthcare professionals. The
document details the progress of the TG-MSK, including updates on meetings, membership,
and efforts to define AI tasks like prediction for MSK health and self-management/treatment,
highlighting the importance of ethical and regulatory considerations for safe and effective
implementation.

A�4�16 DEL 10�23: FG-AI4H Topic Description Document for the Topic group
on AI for traditional medicine (TG-TM)

Summary: This TDD is focused on establishing a standardized benchmarking for AI in Traditional
Medicine (TM). It details the scientific, technical, and administrative aspects required to set up
this evaluation process, acknowledging the relevance and impact of AI solutions in traditional
healthcare and the need for objective, reproducible, and clinically relevant outcomes. The
document also addresses crucial considerations such as ethical implications, the digital divide's
impact on TM practitioners, and existing work in the field, emphasizing the importance of a
neutral network to build trust and prevent issues like biopiracy. Ultimately, this initiative aims
to provide a framework for assessing and promoting safe and effective AI applications within
the diverse practices of traditional medicine globally.

A�4�17 DEL 10�24: FG-AI4H Topic Description Document for the Topic group
on AI for point-of care diagnostics (TG-POC)

Summary: This TDD outlines a plan for the benchmarking of AI-based point-of-care diagnostics,
specifically focusing on cervical cancer screening using mobile digital microscopy. It details
the scientific, technical, and administrative aspects necessary to establish a standardized way
to evaluate these AI systems, particularly their diagnostic accuracy and potential for improving
access to diagnostics in resource-limited settings. The text emphasizes the relevance and
impact of these AI solutions in addressing the shortage of medical experts and improving
patient outcomes, while also considering crucial ethical and regulatory aspects. The document
highlights ongoing validation studies and existing challenges, working towards establishing
a consensus on classification and data standards for this technology. This document outlines
a plan for the benchmarking of AI-based point-of-care diagnostics, specifically focusing on
cervical cancer screening using mobile digital microscopy. It details the scientific, technical, and
administrative aspects necessary to establish a standardized way to evaluate these AI systems,
particularly their diagnostic accuracy and potential for improving access to diagnostics in
resource-limited settings. The text emphasizes the relevance and impact of these AI solutions
in addressing the shortage of medical experts and improving patient outcomes, while also
considering crucial ethical and regulatory aspects. The document highlights ongoing validation

26